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Research

AI model API prices compared

What 72 AI models cost per million tokens on their standard API, from the reviews we keep current. The findings cover the 55 text and chat models billed for both input and output.

By ReviewRamble editors · Updated Nov 7, 2026 · How we built it

Key findings

  • The dearest text model costs about 370 times the cheapest: GPT-6 Cyber at $40 per million blended tokens against Ling-3.0-flash-Sante at $0.108.
  • The median closed model costs $3.88 per million blended tokens; the median open-weight model's hosted API costs $0.525 (24 closed and 31 open models).
  • Output tokens typically cost 4 times input tokens (the median ratio), so long answers cost far more than long prompts.
  • Of the tokens that the 14 priced models in OpenRouter's top 25 processed in the week to Nov 6, 2026, 59% went to models costing under $1 per million blended tokens.

Blended price per million tokens

Three input tokens to one output token, standard list price in US dollars, log scale. Hover a row for its price.
$0.1$0.3$1$3$10$30Ling-3.0-flash-SanteLFM3Laguna S 2.1Phi-4-multimodalClaude Haiku 5.5GPT-6 LunaQwen3.8-Flash-NextGLM-5.3-FlashNemotron 3.5 Super VLMiniMax-M3.1-FlashMistral Small 4Ripple-65B PreviewLFM2.5-24B-A2BMAI-Code-1.1-FlashCodestral 25.08Ling-3.1-flashMoondream 3.1 (9B-A2B)DeepSeek-V4.1-FlashLongCat-2.0MiniMax-M3Muse GlimmerMiMo-V2.6-ProCommand A+BeamGemini 3.5 Flash-LiteMistral Large 4Qwen3.8-27BHy4 previewStep 5 PreviewGemini 3.8 FlashSakana NamazuInklingDeepSeek-V4-ProGPT-6.1 TerraMuse Spark 1.3Muse Spark OpenGLM-5.3Mistral Medium 3.5Grok 4.7Qwen3.8-MaxMAI-Thinking-1Aion 3.5Claude Sonnet 5.5Gemini 4 ArgonGemini 4 CarbonGPT-6.1 SolKimi K3.1 ProKimi K3Claude Opus 5.5Muse WonderGPT-RosalindClaude Fable 5.1GPT-6 AstraGPT-5.6-CyberGPT-6 Cyber

All 72 models

Prices per million tokens in US dollars. Models in brackets are not text models and stay out of the findings. Usage is OpenRouter tokens in the latest week, for models in its top 25.

AI model API prices per million tokens
MakerWeightsContextCached inputOpenRouter tokens
GLM-OCR(OCR & documents)Z.ai (Zhipu AI)Open weights131K tokens (config)$0.03$0.03–$0.03–
Ling-3.0-flash-SanteAnt Group (inclusionAI)Open weights256K tokens$0.07$0.22–$0.108–
LFM3Liquid AIOpen weights256K tokens (text model; 128K for vision and decision, 32K for audio and omni)$0.08$0.2–$0.11–
Laguna S 2.1PoolsideOpen weights1M tokens$0.1$0.2$0.01$0.125–
Phi-4-multimodalMicrosoftOpen weights128K tokens$0.08$0.32–$0.14–
Claude Haiku 5.5AnthropicClosed weights1M tokens$0.1$0.5$0.01$0.22.8T
GPT-6 LunaOpenAIClosed weights1.05M tokens$0.1$0.5$0.01$0.27.3T
Qwen3.8-Flash-NextAlibaba (Qwen)Open weights262K tokens (1M extended and hosted)$0.15$0.47$0.016$0.23–
GLM-5.3-FlashZ.ai (Zhipu AI)Open weights1M tokens$0.15$0.5$0.03$0.23715T
Nemotron 3.5 Super VLNVIDIAOpen weights1M tokens$0.15$0.5–$0.2373.4T
MiniMax-M3.1-FlashMiniMaxOpen weights1M tokens$0.15$0.6$0.015$0.2626T
Mistral Small 4Mistral AIOpen weights256K tokens$0.15$0.6–$0.262–
Ripple-65B PreviewRicursive IntelligenceOpen weights1M tokens$0.2$0.6–$0.3–
LFM2.5-24B-A2BLiquid AIOpen weights131K tokens$0.1$1–$0.325–
MAI-Code-1.1-FlashMicrosoft AIClosed weights256K tokens$0.2$1.2$0.02$0.45–
Codestral 25.08Mistral AIClosed weights128K tokens$0.3$0.9–$0.45–
Ling-3.1-flashAnt Group (inclusionAI)Open weights1M tokens$0.3$0.9$0.06$0.45–
Moondream 3.1 (9B-A2B)Moondream (M87 Labs)Open weights–$0.3$1–$0.475–
DeepSeek-V4.1-FlashDeepSeekOpen weights1M tokens$0.3$1.2–$0.52516.5T
LongCat-2.0MeituanOpen weights1M tokens$0.3$1.2$0.006$0.525–
MiniMax-M3MiniMaxOpen weights1M tokens$0.3$1.2$0.06$0.525–
Muse GlimmerMetaOpen weights131K tokens$0.3$1.2–$0.525–
MiMo-V2.6-ProXiaomiOpen weights1M tokens$0.435$0.87$0.004$0.544–
Command A+CohereOpen weights128K tokens$0.3$1.5–$0.6–
BeamReflectionOpen weights1M tokens$0.4$1.2$0.04$0.6–
Gemini 3.5 Flash-LiteGoogleClosed weights1M tokens$0.3$2.5$0.03$0.85–
Jina OCR v1(OCR & documents)Jina AI (Elastic)Open weights32K tokens$0.5$2–$0.875–
Mistral Large 4Mistral AIOpen weights1M tokens$0.7$2.1$0.07$1.05–
Qwen3.8-27BAlibaba (Qwen)Open weights262K tokens (1M extended)$0.5$3$0.1$1.13–
Hy4 previewTencent (Hy, formerly Hunyuan)Open weights1M tokens$0.834$2.5$0.042$1.256.6T
Step 5 PreviewStepFunOpen weights1M tokens$1$2.7–$1.436.7T
Gemini 3.8 FlashGoogleClosed weights1M tokens$0.75$3.75–$1.5–
Sakana NamazuSakana AIClosed weights256K tokens (per trackers)$0.95$4$0.15$1.71–
InklingThinking Machines LabOpen weights1M tokens$1$4.05–$1.76–
DeepSeek-V4-ProDeepSeekOpen weights1M tokens$1.32$3.96–$1.98–
GPT-6.1 TerraOpenAIClosed weights1.05M tokens$1$5$0.05$2–
Muse Spark 1.3MetaClosed weights1M tokens$1.25$4.25$0.15$2–
Muse Spark OpenMetaOpen weights1M tokens$1.25$4.25$0.15$2–
GLM-5.3Z.ai (Zhipu AI)Open weights1M tokens$1.4$4.4$0.26$2.153.6T
Mistral Medium 3.5Mistral AIOpen weights256K tokens$1.5$7.5–$3–
Grok 4.7SpaceXSI (formerly xAI)Closed weights500K tokens$2$6$0.5$3–
Qwen3.8-MaxAlibaba (Qwen)Open weights1M tokens$2$6–$3–
MAI-Thinking-1Microsoft AIClosed weights256K tokens$2$8–$3.5–
Aion 3.5Aion Labs (Deep Forge)Closed weights262K tokens$3$6$0.75$3.75–
Claude Sonnet 5.5AnthropicClosed weights1M tokens$2$10$0.1$42.3T
Gemini 4 ArgonGoogleClosed weights1M tokens$2$10$0.1$4–
Gemini 4 CarbonGoogleClosed weights1M tokens$2$10$0.1$4–
GPT-6.1 SolOpenAIClosed weights1.05M tokens$2$10$0.1$43.6T
Kimi K3.1 ProMoonshot AIClosed weights1M tokens$2$10$0.2$43.5T
Gemini 3.5 Transcribe(Speech to text)GoogleClosed weights–$2$12–$4.5–
Kimi K3Moonshot AIOpen weights1M tokens$3$15$0.3$62.1T
Claude Opus 5.5AnthropicClosed weights1M tokens$4$20$0.2$86.5T
Muse WonderMetaClosed weights1M tokens$4$20$0.2$8–
GPT-RosalindOpenAIClosed weightsNot stated$5$25$0.5$10–
Claude Fable 5.1AnthropicClosed weights1M tokens$10$50$0.25$20–
GPT-6 AstraOpenAIClosed weights1.05M tokens$10$50$1$20–
GPT-5.6-CyberOpenAIClosed weights400K tokens$12.5$75$1.25$28.13–
GPT-6 CyberOpenAIClosed weights1,050,000 tokens$20$100$2$40–
Perplexity Decider (pplx-decider)(Decision models)PerplexityOpen weights262K tokens (trained to about 32K)$0.02Free–––
DecisionNode(Decision models)Bynn IntelligenceClosed weights64K tokens$0.042Free–––
Jev(Decision models)TypeSafe AIClosed weights64K tokens (262K with long-context header)$0.042Free–––
Microsoft-Decision-1(Decision models)Microsoft AIClosed weights32K tokens$0.042Free–––
Jina Reranker v3.5(Embeddings & reranking)Jina AI (Elastic)Open weights131K tokens$0.05––––
ScaleDown Constrained Decoding Models (Classify, Extract, Summarize)(Decision models)ScaleDownClosed weights1M tokens$0.05Free–––
Voyage rerank-3(Embeddings & reranking)Voyage AI (MongoDB)Closed weights32K tokens$0.05––––
voyage-4-large(Embeddings & reranking)Voyage AI (MongoDB)Closed weights32K tokens$0.12––––
text-embedding-3-large(Embeddings & reranking)OpenAIClosed weights8K tokens$0.13––––
Gemini Embedding 2(Embeddings & reranking)GoogleClosed weights8K tokens$0.2––––
Marengo 3.5(Embeddings & reranking)TwelveLabsClosed weights–$0.2––––
Clef(Decision models)CloudflareOpen weights64K tokens$0.24Free–––
Gemini 3.8 Flash TTS(Text to speech)GoogleClosed weights–$0.5––––
Gemini Omni Flash 1.1(Video)GoogleClosed weights1,048,576 tokens$1.5––––

Download CSVDownload JSON

How we built it

  • Prices. The standard list price per million text tokens from the maker's own API, or from the one host named in the review when the maker sells none. Batch, off-peak, long-context and promotional rates are left out. Each figure is copied from a review that records the date it was checked; we do not convert currencies, so models priced only in yuan or rupees are missing.
  • Blended price. Three input tokens to one output token, (3 × input + output) ÷ 4, a common mix for chat and agent work. Your own mix may differ, so the table keeps input and output separate.
  • Which models. Every model we review that publishes a clear per-token price. Models priced per character, second, image or minute (most speech, image and video models) are not here. The findings use text and chat models only.
  • Usage. Tokens processed on OpenRouter in the week collected on Nov 6, 2026, from openrouter.ai/rankings. OpenRouter is one router among many, so this shows what its users run, not the whole market.
  • Updates. The page is rebuilt whenever a review's price changes, and the usage figures refresh with our weekly count. We do not run the models ourselves for this page; quality and speed are in each review.

Using these figures

You are welcome to quote or chart these figures. Please credit ReviewRamble with a link to this page, and check the date, since prices change.

ReviewRamble, “AI model API prices compared”, Nov 7, 2026, https://www.reviewramble.com/research/ai-model-pricing