AI status

AI API pricing per million tokens, by vendor

Standard tier list prices per one million tokens, in the currency each vendor prints. A vendor that runs a separate China platform gets a separate table for it. Batch and priority tiers are excluded because they are not the price most people pay.

This page answers what it costs to send text to a model yourself, rather than paying a monthly subscription to chat with one. It is for anyone building on an API, and for anyone trying to work out whether a bill they have just received was reasonable. Prices are per one million tokens, exactly as each vendor prints them, and the newest check on this page was 2 Nov 2026.

Download the API price ledgerpricing JSONpricing CSV

Cheapest published model, US dollars per 1M input tokens

The cheapest model each vendor prices in dollars, cheapest firstInput token list prices of the least expensive model each vendor publishes a dollar price for.Alibaba Cloud$0.03Qwen3.7-FlashCohere$0.0375Command R7BMistral$0.10Ministral 3 (3B)Zhipu AI$0.15GLM-5.3-FlashOpenAI$0.20GPT-5.6 LunaGoogle$0.30Gemini 3.5 Flash-LiteDeepSeek$0.30DeepSeek V4 FlashMiniMax$0.30MiniMax-M3Moonshot AI$0.95Kimi K2.7 CodeAnthropic$1.00Claude Haiku 4.5xAI$1.00Grok Build 0.1
Where cheap starts at each house. One bar per vendor, its own least expensive model, named beside it. Not shown: the CNY platforms of Moonshot AI and Zhipu AI, because a price in another currency cannot share a scale with a dollar one and this site never converts.

OpenAI

USD per 1M tokens

OpenAI: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
GPT-5.6 Lunagpt-5.6-luna$0.20$1.20$0.021.05M128K
GPT-5.4 nanogpt-5.4-nano$0.20$1.25$0.02400K128K
GPT-5.4 minigpt-5.4-mini$0.75$4.50$0.075400K128K
GPT-5.6 Terragpt-5.6-terra$2.00$12.00$0.201.05M128K
GPT-5.6 Solgpt-5.6-sol$4.00$20.00$0.401.05M128K
GPT-6 Astragpt-6-astra$10.00$50.00$1.001.05M128K

Notes on these rows

GPT-5.6 Luna, GPT-5.4 nano, GPT-5.4 mini, GPT-5.6 Terra, GPT-5.6 Sol
Standard tier. Context and max output from the model page (second source).
GPT-6 Astra
Standard tier. Context and max output are printed on the model page (second source) as "1,050,000 context window" and "128,000 max output tokens", not on the pricing table itself. Regional (data residency) endpoints carry a 10% uplift for models released on or after 5 Mar 2026.

OpenAI prices:Source: developers.openai.com/api/docs/pricingVerified Second sourceHistory

Anthropic

USD per 1M tokens

Anthropic: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
Claude Haiku 4.5claude-haiku-4-5-20251001$1.00$5.00$0.10200K64K
Claude Sonnet 5claude-sonnet-5$2.00$10.00$0.201M128K
Claude Opus 5claude-opus-5$5.00$25.00$0.501M128K
Claude Fable 5.1claude-fable-5-1$10.00$50.00$0.251M128K

Notes on these rows

Claude Haiku 4.5
Alias claude-haiku-4-5. Cache writes $1.25 (5 min) / $2 (1 hour). Context 200K and max output 64K are from the models overview page, not the pricing page.
Claude Sonnet 5
Pricing page note: the $2/$10 introductory price "is now the standard price"; the increase to $3/$15 scheduled for 1 Sep 2026 "will not occur". Cache writes $2.50 (5 min) / $4 (1 hour). Max output from the models overview page.
Claude Opus 5
Cache writes: $6.25/MTok (5 min), $10/MTok (1 hour). Batch API 50% off. Fast mode (research preview) is $10 in / $50 out. Max output from the models overview page.
Claude Fable 5.1
Cached input = "Cache hits and refreshes" ($0.25/MTok, 0.025x base on this model). Cache writes: $12.50/MTok (5 min), $20/MTok (1 hour). Batch API 50% off. Pricing page states Claude 4.6 and later include the full 1M token context at standard pricing; the 128K max output is from the models overview page (platform.claude.com/docs/en/about-claude/models/overview).

Anthropic prices:Source: platform.claude.com/docs (pricing)Verified Second sourceHistory

Google

USD per 1M tokens

Google: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
Gemini 3.5 Flash-Litegemini-3.5-flash-lite$0.30$2.50$0.031,048,57665,536
Gemini 2.5 Flashgemini-2.5-flash$0.30$2.50$0.031,048,57665,536
Gemini 3.8 Flashgemini-3.8-flash$0.75$3.75$0.0751,048,57665,536
Gemini 2.5 Progemini-2.5-pro$1.25$10.00$0.1251,048,57665,536
Gemini 3.5 Flashgemini-3.5-flash$1.50$9.00$0.151,048,57665,536
Gemini 3.1 Pro Previewgemini-3.1-pro-preview$2.00$12.00$0.201,048,57665,536

Notes on these rows

Gemini 3.5 Flash-Lite
Paid tier. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.5-flash-lite.
Gemini 2.5 Flash
Paid tier. The pricing page itself notes a "1M token" context for this model; exact limits from the model page ai.google.dev/gemini-api/docs/models/gemini-2.5-flash.
Gemini 3.8 Flash
Paid tier. Promotional: "$0.75 through December 31, 2026. $1.50 starting January 1, 2027" (output $3.75 then $7.50; caching $0.075 then $0.15). Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.8-flash ("1,048,576" input, "65,536" output). No second official page confirming the price was reachable.
Gemini 2.5 Pro
Paid tier, prompts of 200k tokens or less. Prompts over 200k: input $2.50, output $15.00, caching $0.25. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-2.5-pro.
Gemini 3.5 Flash
Paid tier. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.5-flash.
Gemini 3.1 Pro Preview
Paid tier, prompts of 200k tokens or less. Prompts over 200k: input $4.00, output $18.00, caching $0.40. Token limits from the model page ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview.

Google prices:Source: ai.google.dev/gemini-api/docs/pricingVerified Single sourceHistory

xAI

USD per 1M tokens

xAI: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
Grok Build 0.1grok-build-0.1$1.00$2.00$0.20256KNot published
Grok 4.3grok-4.3$1.25$2.50$0.201MNot published
Grok 4.6grok-4.6$2.00$6.00$0.50500KNot published
Grok 4.5grok-4.5$2.00$6.00$0.30500KNot published

Notes on these rows

Grok Build 0.1
Aliases grok-code-fast-1, grok-code-fast, grok-code-fast-1-0825. Prompts under 200k tokens; 200k or more: $2.00 / $0.40 cached / $4.00. Context printed as "256k" on the table and "256,000 tokens" on the model page. No max output published.
Grok 4.3
Alias grok-4.3-latest. Prompts under 200k tokens; 200k or more: $2.50 / $0.40 cached / $5.00. Model page mentions a 20% Batch API discount. Context printed as "1M" on the table and "1,000,000 tokens" on the model page. No max output published.
Grok 4.6
Prompts under 200k tokens. Prompts of 200k or more: input $4.00, cached $1.00, output $12.00; "Requests whose prompt reaches the listed token threshold are billed at the higher rate for all tokens in the request." Context printed as "500k" on the table and "500,000 tokens" on the model page. No max output published.
Grok 4.5
Aliases grok-4.5-latest, grok-build-latest. Prompts under 200k tokens; 200k or more: $4.00 / $0.60 cached / $12.00. No max output published.

xAI prices:Source: docs.x.ai/docs/modelsVerified Second sourceHistory

DeepSeek

USD per 1M tokens

DeepSeek: API list prices per million tokens in USD
ModelTierInputOutputCached inputContextMax output
DeepSeek V4 Flashdeepseek-v4-flashPeak hours (01:00 to 04:00 and 06:00 to 10:00 UTC, Monday through Friday)$0.30$1.32$0.0061M384K
DeepSeek V4 Flash Vision (experimental)deepseek-v4-flash-vision-expPeak hours (01:00 to 04:00 and 06:00 to 10:00 UTC, Monday through Friday)$0.30$1.32$0.0061M384K
DeepSeek V4 Prodeepseek-v4-proPeak hours (01:00 to 04:00 and 06:00 to 10:00 UTC, Monday through Friday)$1.32$3.96$0.0441M384K

Notes on these rows

DeepSeek V4 Flash
Peak-hour prices; the table prints PEAK and OFF-PEAK rows for every price. Off-peak: cache hit $0.007, cache miss $0.22, output $0.66 per 1M tokens. Vendor: "Off-peak rates are half of the peak rates. Peak hours are 01:00 - 04:00 and 06:00 - 10:00 UTC, Monday through Friday (all other hours are off-peak)." Input is the "1M INPUT TOKENS (CACHE MISS)" row and cached input the "(CACHE HIT)" row. Context printed as "1M" and max output as "MAXIMUM: 384K". Model version DeepSeek-V4-Flash-0731. The Chinese-language page for the same platform (api-docs.deepseek.com/zh-cn/quick_start/pricing/) prints the peak prices in yuan: 0.10 / 3.0 / 9.0 yuan per 1M tokens for cache hit / cache miss / output, off-peak half, with Beijing-time peak hours.
DeepSeek V4 Flash Vision (experimental)
Peak-hour prices; the table prints PEAK and OFF-PEAK rows for every price. Off-peak: cache hit $0.007, cache miss $0.22, output $0.66 per 1M tokens. Vendor: "Off-peak rates are half of the peak rates. Peak hours are 01:00 - 04:00 and 06:00 - 10:00 UTC, Monday through Friday (all other hours are off-peak)." Input is the "1M INPUT TOKENS (CACHE MISS)" row and cached input the "(CACHE HIT)" row. Context printed as "1M" and max output as "MAXIMUM: 384K". Model version DeepSeek-V4-Flash-Vision-Exp. The Chinese-language page for the same platform (api-docs.deepseek.com/zh-cn/quick_start/pricing/) prints the peak prices in yuan: 0.10 / 3.0 / 9.0 yuan per 1M tokens for cache hit / cache miss / output, off-peak half, with Beijing-time peak hours. Vendor: "Images sent to deepseek-v4-flash-vision-exp are converted into tokens based on their dimensions and billed as input tokens together with your text tokens."
DeepSeek V4 Pro
Peak-hour prices; the table prints PEAK and OFF-PEAK rows for every price. Off-peak: cache hit $0.022, cache miss $0.66, output $1.98 per 1M tokens. Vendor: "Off-peak rates are half of the peak rates. Peak hours are 01:00 - 04:00 and 06:00 - 10:00 UTC, Monday through Friday (all other hours are off-peak)." Input is the "1M INPUT TOKENS (CACHE MISS)" row and cached input the "(CACHE HIT)" row. Context printed as "1M" and max output as "MAXIMUM: 384K". Model version DeepSeek-V4-Pro-0813. The Chinese-language page for the same platform (api-docs.deepseek.com/zh-cn/quick_start/pricing/) prints the peak prices in yuan: 0.30 / 9.0 / 27.0 yuan per 1M tokens for cache hit / cache miss / output, off-peak half, with Beijing-time peak hours.

DeepSeek prices:Source: api-docs.deepseek.com (Models & Pricing)Verified Single sourceHistory

Moonshot AI International platform

USD per 1M tokens

Moonshot AI, International platform: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
Kimi K2.7 Codekimi-k2.7-code$0.95$4.00$0.19262,144Not published
Kimi K2.6kimi-k2.6$0.95$4.00$0.16262,144Not published
Kimi K2.7 Code (high speed)kimi-k2.7-code-highspeed$1.90$8.00$0.38262,144Not published
Kimi K3kimi-k3$3.00$15.00$0.301,048,576Not published

Notes on these rows

Kimi K2.7 Code, Kimi K2.6, Kimi K2.7 Code (high speed)
Context printed as "262,144 tokens". Input is the "Input Price (Cache Miss)" column and cached input the "Input Price (Cache Hit)" column, per 1M tokens ("1M = 1,000,000"). No maximum output is published on the pricing page or on the model list (platform.kimi.ai/docs/models). "Prices exclude applicable taxes." platform.moonshot.ai redirects here.
Kimi K3
Context printed as "1,048,576 tokens". Input is the "Input Price (Cache Miss)" column and cached input the "Input Price (Cache Hit)" column, per 1M tokens ("1M = 1,000,000"). No maximum output is published on the pricing page or on the model list (platform.kimi.ai/docs/models). "Prices exclude applicable taxes." platform.moonshot.ai redirects here.

Moonshot AI, International platform prices:Source: platform.kimi.ai/docs/pricing/chat-k27-codeVerified Single sourceHistory

Rows in this group were read from 3 pages: platform.kimi.ai/docs/pricing/chat-k27-code, platform.kimi.ai/docs/pricing/chat-k26, platform.kimi.ai/docs/pricing/chat-k3

Moonshot AI China platform

CNY per 1M tokens

Prices on this vendor's China platform. It is sold separately from the international platform, and these rows are not comparable with the international table.

Printed in CNY, exactly as the vendor publishes it. Nothing on this page is converted between currencies.

Moonshot AI, China platform: API list prices per million tokens in CNY
ModelInputOutputCached inputContextMax output
Kimi K2.7 Codekimi-k2.7-codeCNY 6.50CNY 27.00CNY 1.30262,144Not published
Kimi K2.6kimi-k2.6CNY 6.50CNY 27.00CNY 1.10262,144Not published
Kimi K2.7 Code (high speed)kimi-k2.7-code-highspeedCNY 13.00CNY 54.00CNY 2.60262,144Not published
Kimi K3kimi-k3CNY 20.00CNY 100.00CNY 2.001,048,576Not published

Notes on these rows

Kimi K2.7 Code, Kimi K2.6, Kimi K2.7 Code (high speed)
Context printed as "262,144 tokens". China platform (platform.kimi.com; platform.moonshot.cn redirects here), priced in yuan per 1M tokens: 缓存未命中 (cache miss) is the input price, 缓存命中 (cache hit) the cached input price, 输出 the output price. No maximum output is published on the pricing page or on the model list (platform.kimi.com/docs/models).
Kimi K3
Context printed as "1,048,576 tokens". China platform (platform.kimi.com; platform.moonshot.cn redirects here), priced in yuan per 1M tokens: 缓存未命中 (cache miss) is the input price, 缓存命中 (cache hit) the cached input price, 输出 the output price. No maximum output is published on the pricing page or on the model list (platform.kimi.com/docs/models).

Moonshot AI, China platform prices:Source: platform.kimi.com/docs/pricing/chat-k27-codeVerified Single sourceHistory

Rows in this group were read from 3 pages: platform.kimi.com/docs/pricing/chat-k27-code, platform.kimi.com/docs/pricing/chat-k26, platform.kimi.com/docs/pricing/chat-k3

Zhipu AI International platform

USD per 1M tokens

Zhipu AI, International platform: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
GLM-5.3-Flashglm-5.3-flash$0.15$0.50$0.031M128K
GLM-4.7glm-4.7$0.60$2.20$0.11200K128K
GLM-5glm-5$1.00$3.20$0.20200K128K
GLM-5.3glm-5.3$1.40$4.40$0.261M128K
GLM-5.2glm-5.2$1.40$4.40$0.261M128K
GLM-5.1glm-5.1$1.40$4.40$0.26200K128K

Notes on these rows

GLM-5.3-Flash
Promotional price. Vendor: "GLM-5.3-Flash is available at a 50% discount (strikethrough prices are list prices). The promotion ends at 24:00 on September 9, 2026 (UTC+8, Singapore time)." List prices: input $0.15, cached input $0.03, output $0.50. Cached input storage is "Limited-time Free". Context "1M" and max output "128K" from the model page docs.z.ai/guides/llm/glm-5.3-flash.
GLM-4.7
Cached input storage is "Limited-time Free". Context "200K" and max output "128K" from the model page docs.z.ai/guides/llm/glm-4.7.
GLM-5
Cached input storage is "Limited-time Free". Context "200K" and max output "128K" from the model page docs.z.ai/guides/llm/glm-5.
GLM-5.3
Cached input storage is "Limited-time Free". Context "1M" and max output "128K" from the model page docs.z.ai/guides/llm/glm-5.3.
GLM-5.2
Cached input storage is "Limited-time Free". Context "1M" and max output "128K" from the model page docs.z.ai/guides/llm/glm-5.2.
GLM-5.1
Cached input storage is "Limited-time Free". Context "200K" and max output "128K" from the model page docs.z.ai/guides/llm/glm-5.1.

Zhipu AI, International platform prices:Source: docs.z.ai/guides/overview/pricingVerified Single sourceHistory

Zhipu AI China platform

CNY per 1M tokens

Prices on this vendor's China platform. It is sold separately from the international platform, and these rows are not comparable with the international table.

Printed in CNY, exactly as the vendor publishes it. Nothing on this page is converted between currencies.

Zhipu AI, China platform: API list prices per million tokens in CNY
ModelTierInputOutputCached inputContextMax output
GLM-5.3-Flashglm-5.3-flashSingle priceCNY 0.40CNY 1.40CNY 0.1151M128K
GLM-4.7-FlashXglm-4.7-flashxSingle priceCNY 0.50CNY 3.00CNY 0.10200K128K
GLM-5glm-5输入长度 [0, 32) (input length 0 to 32 thousand tokens)CNY 4.00CNY 18.00CNY 1.00200K128K
GLM-5.1glm-5.1输入长度 [0, 32) (input length 0 to 32 thousand tokens)CNY 6.00CNY 24.00CNY 1.30200K128K
GLM-5.3glm-5.3Single priceCNY 8.00CNY 28.00CNY 2.001M128K
GLM-5.2glm-5.2Single priceCNY 8.00CNY 28.00CNY 2.001M128K

Notes on these rows

GLM-5.3-Flash
Promotional price. The row is marked 5折限时两周 (50% off, limited to two weeks; no end date printed) with list prices struck through: 0.8元 input, 2.8元 output, 0.23元 cache hit. China platform (open.bigmodel.cn), priced in yuan (元) per 1M tokens: 输入单价 is the input price, 输出单价 the output price, 缓存命中 the cached input price; 缓存存储 (cache storage) is 限时免费 (limited-time free). The page is JavaScript only and was read with a headless browser. Context "1M" printed on the pricing page; max output "128K" from docs.bigmodel.cn/cn/guide/start/model-overview.
GLM-4.7-FlashX
China platform (open.bigmodel.cn), priced in yuan (元) per 1M tokens: 输入单价 is the input price, 输出单价 the output price, 缓存命中 the cached input price; 缓存存储 (cache storage) is 限时免费 (limited-time free). The page is JavaScript only and was read with a headless browser. Context "200K" printed on the pricing page; max output "128K" from docs.bigmodel.cn/cn/guide/start/model-overview.
GLM-5
Tier is the vendor's input-length band in thousand tokens. The 输入长度 [32+) band is 6元 input, 22元 output, 1.5元 cache hit. China platform (open.bigmodel.cn), priced in yuan (元) per 1M tokens: 输入单价 is the input price, 输出单价 the output price, 缓存命中 the cached input price; 缓存存储 (cache storage) is 限时免费 (limited-time free). The page is JavaScript only and was read with a headless browser. Context "200K" from docs.bigmodel.cn/cn/guide/start/model-overview; max output "128K" from docs.bigmodel.cn/cn/guide/start/model-overview.
GLM-5.1
Tier is the vendor's input-length band in thousand tokens. The 输入长度 [32+) band is 8元 input, 28元 output, 2元 cache hit. China platform (open.bigmodel.cn), priced in yuan (元) per 1M tokens: 输入单价 is the input price, 输出单价 the output price, 缓存命中 the cached input price; 缓存存储 (cache storage) is 限时免费 (limited-time free). The page is JavaScript only and was read with a headless browser. Context "200K" from docs.bigmodel.cn/cn/guide/start/model-overview; max output "128K" from docs.bigmodel.cn/cn/guide/start/model-overview.
GLM-5.3, GLM-5.2
China platform (open.bigmodel.cn), priced in yuan (元) per 1M tokens: 输入单价 is the input price, 输出单价 the output price, 缓存命中 the cached input price; 缓存存储 (cache storage) is 限时免费 (limited-time free). The page is JavaScript only and was read with a headless browser. Context "1M" printed on the pricing page; max output "128K" from docs.bigmodel.cn/cn/guide/start/model-overview.

Zhipu AI, China platform prices:Source: open.bigmodel.cn/pricingVerified Single sourceHistory

Alibaba Cloud International platform

USD per 1M tokens

Alibaba Cloud, International platform: API list prices per million tokens in USD
ModelTierInputOutputCached inputContextMax output
Qwen3.7-Flashqwen3.7-flash0<Token≤32K$0.03$0.13Not published1MNot published
Qwen3.8-Flashqwen3.8-flash0<Token≤1M$0.15$0.47Not published1MNot published
Qwen3.7-Plusqwen3.7-plus0<Token≤256K$0.40$1.60Not published1MNot published
Qwen3.8-Maxqwen3.8-max0<Token≤1M$2.00$6.00Not published1MNot published
Qwen3.7-Maxqwen3.7-max0<Token≤1M$2.50$7.50Not published1MNot published

Notes on these rows

Qwen3.7-Flash
Singapore region, "International" deployment scope, page "Last Updated: Sep 04, 2026". Lowest band. Other bands: 32K<Token≤256K $0.100 input / $0.400 output; 256K<Token≤1M $0.200 input / $0.800 output. Currently equivalent to qwen3.7-flash-2026-07-15. Batch inference is 50% off. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.8-Flash
Singapore region, "International" deployment scope, page "Last Updated: Sep 04, 2026". Single band. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.7-Plus
Singapore region, "International" deployment scope, page "Last Updated: Sep 04, 2026". List price. Vendor prints "List price $0.4 (Limited-time 20% off)" for input and "List price $1.6 (Limited-time 20% off)" for output; the discounted figure is not printed, so it is not recorded. Second band 256K<Token≤1M: list price $1.2 input, $4.8 output, same wording. Thinking and Non-Thinking output prices are equal. Currently equivalent to qwen3.7-plus-2026-05-26. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.8-Max
Singapore region, "International" deployment scope, page "Last Updated: Sep 04, 2026". "Non-Thinking and Thinking modes"; single band. Free quota "1 million tokens" in Singapore only. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.7-Max
Singapore region, "International" deployment scope, page "Last Updated: Sep 04, 2026". Currently equivalent to qwen3.7-max-2026-05-20. "Non-Thinking and Thinking modes"; single band. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.

Alibaba Cloud, International platform prices:Source: alibabacloud.com/help/en/model-studio/model-pricingVerified Single sourceHistory

Alibaba Cloud China platform

USD per 1M tokens

Prices on this vendor's China platform. It is sold separately from the international platform, and these rows are not comparable with the international table.

Alibaba Cloud, China platform: API list prices per million tokens in USD
ModelTierInputOutputCached inputContextMax output
Qwen3.7-Flashqwen3.7-flash0<Token≤32K$0.028$0.11Not published1MNot published
Qwen3.8-Flashqwen3.8-flash0<Token≤1M$0.113$0.382Not published1MNot published
Qwen3.7-Plusqwen3.7-plus0<Token≤256K$0.276$1.101Not published1MNot published
Qwen3.8-Maxqwen3.8-max0<Token≤1M$1.65$4.951Not published1MNot published
Qwen3.7-Maxqwen3.7-max0<Token≤1M$1.65$4.951Not published1MNot published

Notes on these rows

Qwen3.7-Flash
China (Beijing) region on the same international pricing page, printed in US dollars by the vendor; page "Last Updated: Sep 04, 2026". Lowest band. Other bands: 32K<Token≤256K $0.083 input / $0.330 output; 256K<Token≤1M $0.165 input / $0.660 output. Currently equivalent to qwen3.7-flash-2026-07-15. Batch inference is 50% off. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.8-Flash
China (Beijing) region on the same international pricing page, printed in US dollars by the vendor; page "Last Updated: Sep 04, 2026". Single band. Batch inference is 50% off. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.7-Plus
China (Beijing) region on the same international pricing page, printed in US dollars by the vendor; page "Last Updated: Sep 04, 2026". List price. Vendor prints "List price $0.276 (Limited-time 20% off)" for input and "List price $1.101 (Limited-time 20% off)" for output; the discounted figure is not printed, so it is not recorded. Second band 256K<Token≤1M: list price $0.826 input, $3.301 output, same wording. Thinking and Non-Thinking output prices are equal. Currently equivalent to qwen3.7-plus-2026-05-26. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.8-Max
China (Beijing) region on the same international pricing page, printed in US dollars by the vendor; page "Last Updated: Sep 04, 2026". "Non-Thinking and Thinking modes"; single band. Batch inference is 50% off. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.
Qwen3.7-Max
China (Beijing) region on the same international pricing page, printed in US dollars by the vendor; page "Last Updated: Sep 04, 2026". Currently equivalent to qwen3.7-max-2026-05-20. "Non-Thinking and Thinking modes"; single band. Batch inference is 50% off. "All tokens in the request are billed at the unit price of the corresponding tier." Cache-hit input tokens "are billed at unit prices different from the standard input price" under the vendor's Context Cache rules; no per-model cached price is printed on this page. Context "1M" from the text generation model page (alibabacloud.com/help/en/model-studio/text-generation-model). No max output published.

Alibaba Cloud, China platform prices:Source: alibabacloud.com/help/en/model-studio/model-pricingVerified Single sourceHistory

MiniMax

USD per 1M tokens

MiniMax: API list prices per million tokens in USD
ModelTierInputOutputCached inputContextMax output
MiniMax-M3MiniMax-M3≤ 512k input tokens$0.30$1.20$0.061MNot published
MiniMax-M2.7MiniMax-M2.7Single price$0.30$1.20$0.06204,800Not published
MiniMax-M2.5MiniMax-M2.5Single price$0.30$1.20$0.03204,800Not published
MiniMax-M2.7 (high speed)MiniMax-M2.7-highspeedSingle price$0.60$2.40$0.06204,800Not published

Notes on these rows

MiniMax-M3
Standard tier. The row is marked "Permanent 50% off" with list prices struck through: $0.60 input, $2.40 output, $0.12 cached; the charged prices are recorded. The "> 512k input tokens" band is $0.60 input, $2.40 output, $0.12 cached (struck-through $1.20 / $4.80 / $0.24). Priority tier "is 1.5x standard". Cached input is the "Prompt caching Read" column. Context "1,000,000" from the text generation guide (platform.minimax.io/docs/guides/text-generation.md). No max output published.
MiniMax-M2.7, MiniMax-M2.7 (high speed)
"Prompt caching Write" is $0.375 per M tokens. Cached input is the "Prompt caching Read" column. Context "204,800" from the text generation guide (platform.minimax.io/docs/guides/text-generation.md). No max output published.
MiniMax-M2.5
Listed under legacy models. "Prompt caching Write" is $0.375 per M tokens. Cached input is the "Prompt caching Read" column. Context "204,800" from the text generation guide (platform.minimax.io/docs/guides/text-generation.md). No max output published.

MiniMax prices:Source: platform.minimax.io/docs/guides/pricing-paygoVerified Single sourceHistory

Mistral

USD per 1M tokens

Mistral: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
Ministral 3 (3B)ministral-3b-latest$0.10$0.10Not published256KNot published
Mistral Small 4mistral-small-latest$0.15$0.60Not published256KNot published
Ministral 3 (8B)ministral-8b-latest$0.15$0.15Not published256KNot published
Codestralcodestral-latest$0.30$0.90Not published128KNot published
Mistral Large 3mistral-large-latest$0.50$2.10Not published256KNot published
Mistral Medium 3.5mistral-medium-latest$1.50$7.50Not published256KNot published

Notes on these rows

Ministral 3 (3B)
Cached input: the page states "Cached input tokens -90% on input token" as a rule with no per-model figure, so none is recorded. Context "256k" from the model page (second source), which prints the same prices. No max output published. Dated id ministral-3b-2512.
Mistral Small 4
Cached input: the page states "Cached input tokens -90% on input token" as a rule with no per-model figure, so none is recorded. Context "256k" from the model page (second source), which prints the same prices. No max output published. Dated id mistral-small-2603.
Ministral 3 (8B)
Cached input: the page states "Cached input tokens -90% on input token" as a rule with no per-model figure, so none is recorded. Context "256k" from the model page (second source), which prints the same prices. No max output published. Dated id ministral-8b-2512.
Codestral
Cached input: the page states "Cached input tokens -90% on input token" as a rule with no per-model figure, so none is recorded. Context "128k" from the model page (second source), which prints the same prices. No max output published. Dated id codestral-2508.
Mistral Large 3
Cached input: the page states "Cached input tokens -90% on input token" as a rule with no per-model figure, so none is recorded. Context "256k" from the model page (second source), which prints the same prices. No max output published. Dated id mistral-large-2512.
Mistral Medium 3.5
Cached input: the page states "Cached input tokens -90% on input token" as a rule with no per-model figure, so none is recorded. Context "256k" from the model page (second source), which prints the same prices. No max output published.

Mistral prices:Source: mistral.ai/pricing/apiVerified Second sourceHistory

Cohere

USD per 1M tokens

Cohere: API list prices per million tokens in USD
ModelInputOutputCached inputContextMax output
Command A+command-a-plus-05-2026$0.00$0.00Not published128K64K
Command R7Bcommand-r7b-12-2024$0.0375$0.15Not published128K4K
Command R (08-2024)command-r-08-2024$0.15$0.60Not published128K4K
Command R+ (08-2024)command-r-plus-08-2024$2.50$10.00Not published128K4K

Notes on these rows

Command A+
The pricing card reads "Free" with "API key 0" and "Model download 0"; it is not priced per million tokens, so the row records zero. Card bullets: "Apache 2.0 license", "Runs on just two H100 GPUs". Context "128k" and max output "64k". Model id, context and max output from docs.cohere.com/docs/models. No cached input price published.
Command R7B
Card "Command R7B": "128K token context window", "4K maximum output tokens". Model id, context and max output from docs.cohere.com/docs/models. No cached input price published.
Command R (08-2024)
The card is labelled "Command R" with no dated id, "128K token context window", "4K maximum output tokens". The models page lists command-r-08-2024 as the current Command R with the same limits; the older Command R 03-2024 is priced separately in the page's legacy list at $0.50 input and $1.50 output. Model id, context and max output from docs.cohere.com/docs/models. No cached input price published.
Command R+ (08-2024)
From the page's legacy list: "Command R+ 08-2024 pricing is $2.50/1M tokens for input and $10.00/1M tokens for output". Context "128k" and max output "4k". Model id, context and max output from docs.cohere.com/docs/models. No cached input price published.

Cohere prices:Source: cohere.com/pricingVerified Single sourceHistory

What it means for you

The cheapest model here is Qwen3.7-Flash at $0.03 per million input tokens. The dearest is GPT-6 Astra at $10.00. Both answer a question in English, and the gap between them is far wider than the gap between the vendors. The useful question is not which house is cheapest, it is the smallest model that can do your job.

For a person asking a handful of questions a day, every price on this page is small: a million tokens is roughly three quarters of a million words of English, the same ratio the glossary above uses. Bills grow when the same text is sent again and again, which is what an agent, a long conversation or a document tool does all day. That is why the cached input column matters more than the headline price for anything long running.

If you are choosing between paying per token and paying per month, the other half of the answer is on the plans and limits page.

Cite this

AI Journey, "AI API pricing per million tokens, by vendor", https://aijourney.space/compare/pricing/ (verified 2 Nov 2026)

How to read this

A token is roughly three quarters of an English word. Prices are quoted per million tokens, so a request of 1,000 input tokens on a model priced at $3 per million costs three tenths of a cent to send.

Input is what you send, output is what the model returns, and output is always the expensive half. Cached input is the reduced rate some vendors charge when the same prefix is sent again within a short window. Where a vendor publishes no cached rate the cell says "Not published".

A price printed with a currency code, such as CNY, is the vendor's own figure in that currency. It is not converted to dollars, because an exchange rate chosen by this site would be a number the vendor never published. A table headed "China platform" prices that vendor's China service, which is sold separately from its international one and cannot be compared with it line by line.

Where a vendor publishes more than one price for a model, the Tier column names the band the row records, in the vendor's own words, and the other bands are quoted in the notes under the table.

Context is the largest number of tokens a request may contain. Max output is the largest single answer the model will produce. Both are counts, not prices.

These are list prices for the standard tier. Batch processing, priority capacity, committed spend and enterprise agreements all change what is actually paid, and none of them are on this page.

Next: learn how AI model pricing works, or paste your own text into the token counter to see what it costs on each model above.