LLM Pricing

JSON
ModelModel IDInput $/MOutput $/MSource
Anthropic
haiku-4.5claude-haiku-4-5-20251001$1.00$5.00
sonnet-4.5claude-sonnet-4-5-20250929$3.00$15.00
sonnet-4.6claude-sonnet-4-6$3.00$15.00
sonnet-5claude-sonnet-5$2.00$10.00
opus-4.5claude-opus-4-5-20251101$5.00$25.00
opus-4.6claude-opus-4-6$5.00$25.00
opus-4.7claude-opus-4-7$5.00$25.00
opus-4.8claude-opus-4-8$5.00$25.00
opus-5claude-opus-5$5.00$25.00
fable-5claude-fable-5$10.00$50.00
fable-5.1claude-fable-5-1$10.00$50.00
OpenAI
gpt-5-nanogpt-5-nano-2025-08-07$0.05$0.40
gpt-5-minigpt-5-mini-2025-08-07$0.25$2.00
gpt-5gpt-5-2025-08-07$1.25$10.00
gpt-5.2gpt-5.2-2025-12-11$1.75$14.00
gpt-5.4gpt-5.4-2026-03-05$2.50$15.00
gpt-5.4-minigpt-5.4-mini-2026-03-17$0.75$4.50
gpt-5.4-nanogpt-5.4-nano-2026-03-17$0.20$1.25
gpt-5.4-progpt-5.4-pro-2026-03-05$30.00$180.00
gpt-5.3-codexgpt-5.3-codex$1.75$14.00
gpt-5.5gpt-5.5-2026-04-23$5.00$30.00
gpt-5.5-progpt-5.5-pro-2026-04-23$30.00$180.00
gpt-5.6-solgpt-5.6-sol$5.00$30.00
gpt-5.6-terragpt-5.6-terra$2.00$12.00
gpt-5.6-lunagpt-5.6-luna$0.20$1.20
gpt-6-astragpt-6-astra$10.00$50.00
Mistral
ministral-3-3bministral-3b-2512$0.10$0.10
ministral-3-8bministral-8b-2512$0.15$0.15
ministral-3-14bministral-14b-2512$0.20$0.20
mistral-small-4mistral-small-2603$0.15$0.60
mistral-medium-3.5mistral-medium-3.5$1.50$7.50
mistral-large-3mistral-large-2512$0.50$1.50
Google
gemini-2.5-flash-litegemini-2.5-flash-lite$0.10$0.40
gemini-2.5-flashgemini-2.5-flash$0.30$2.50
gemini-3.1-flash-litegemini-3.1-flash-lite$0.25$1.50
gemini-3-flashgemini-3-flash-preview$0.50$3.00
gemini-3.5-flashgemini-3.5-flash$1.50$9.00
gemini-3.5-flash-litegemini-3.5-flash-lite$0.30$2.50
gemini-3.6-flashgemini-3.6-flash$1.50$7.50
gemini-3.7-flashgemini-3.7-flash$1.50$7.50
gemini-3.8-flashgemini-3.8-flash$1.50$7.50
gemini-3.1-progemini-3.1-pro-preview$2.00$12.00
xAI
grok-4.3grok-4.3$1.25$2.50
grok-4.5grok-4.5$2.00$6.00
grok-4.6grok-4.6$2.00$6.00
Groq
groq:gpt-oss-20bopenai/gpt-oss-20b$0.075$0.30
groq:gpt-oss-120bopenai/gpt-oss-120b$0.15$0.60
Moonshot AI
kimi-k2.5kimi-k2.5$0.60$3.00
kimi-k2.6kimi-k2.6$0.95$4.00
kimi-k2.7-codekimi-k2.7-code$0.95$4.00
kimi-k2.7-code-highspeedkimi-k2.7-code-highspeed$1.90$8.00
kimi-k3kimi-k3$3.00$15.00
Together AI
together:llama-3.3-70bmeta-llama/Llama-3.3-70B-Instruct-Turbo$1.04$1.04
together:kimi-k3moonshotai/Kimi-K3$3.00$15.00
together:glm-5.3zai-org/GLM-5.3$1.40$4.400
together:inklingthinkingmachines/Inkling$1.00$4.05
together:deepseek-v4-flash-0731deepseek-ai/DeepSeek-V4-Flash-0731$0.140$0.280
together:deepseek-v4-pro-0813deepseek-ai/DeepSeek-V4-Pro-0813$1.32$3.96
together:qwen3.7-maxQwen/Qwen3.7-Max$1.25$3.75
together:qwen3.8-2.4t-a95bQwen/Qwen3.8-2.4T-A95B$2.50$6.25
together:qwen3.8-flashQwen/Qwen3.8-Flash$0.15$0.47
together:muse-glimmermeta-models/Muse-Glimmer-30B$0.35$1.50
together:qwen3.7-plusQwen/Qwen3.7-Plus$0.32$1.28
together:qwen3.5-9bQwen/Qwen3.5-9B$0.17$0.25
together:minimax-m3MiniMaxAI/MiniMax-M3$0.30$1.20
DeepInfra
deepinfra:kimi-k3moonshotai/Kimi-K3$2.85$14.25
deepinfra:glm-5.2zai-org/GLM-5.2$0.75$2.40
deepinfra:glm-5.3zai-org/GLM-5.3$1.20$4.00
deepinfra:deepseek-v4-prodeepseek-ai/DeepSeek-V4-Pro$1.30$2.60
deepinfra:qwen3.6-35b-a3bQwen/Qwen3.6-35B-A3B$0.10$0.95
deepinfra:qwen3.8-2.4t-a95bQwen/Qwen3.8-2.4T-A95B$2.00$6.00
deepinfra:deepseek-v4-flash-0731deepseek-ai/DeepSeek-V4-Flash-0731$0.08$0.18
deepinfra:mimo-v2.5-proXiaomiMiMo/MiMo-V2.5-Pro$1.00$3.00
deepinfra:nemotron-3-supernvidia/NVIDIA-Nemotron-3-Super-120B-A12B$0.085$0.40
deepinfra:nemotron-3.5-lightningnvidia/NVIDIA-Nemotron-3.5-Lightning$0.08$0.20
Mixedbread
toast-1toast-1$0.50$1.20
OpenRouter
openrouter:step-3.5-flashstepfun/step-3.5-flash$0.10$0.30
openrouter:nemotron-3-nano-30b-a3bnvidia/nemotron-3-nano-30b-a3b$0.05$0.20
openrouter:glm-4.6vz-ai/glm-4.6v$0.30$0.90
Inception
mercury-2mercury-2$0.25$0.75
Z.ai
glm-5glm-5$1.00$3.20
glm-5.1glm-5.1$1.40$4.400
glm-5.2glm-5.2$1.40$4.400
glm-5-turboglm-5-turbo$1.20$4.00
glm-4.7glm-4.7$0.60$2.200
glm-4.7-flashxglm-4.7-flashx$0.070$0.40
glm-5.3-flashglm-5.3-flash$0.15$0.50
glm-5.3glm-5.3$1.40$4.400
MiniMax
minimax-m3MiniMax-M3$0.30$1.20
minimax-m2.7MiniMax-M2.7$0.30$1.20
minimax-m2.5MiniMax-M2.5$0.30$1.20
minimax-m2MiniMax-M2$0.30$1.20

Input vs Output Cost

Decision models

Not LLMs: you send a state plus typed questions (pick one, rate on a scale, yes/no probability) and get structured answers back — no text output. Priced per input token; output is reported but free.

ModelProviderInput $/MOutput $/MMax requestMax cost / callSource
jev-latestTypeSafe AI$0.042free~32K tokens$0.0013
jev-previewTypeSafe AI$0.042free~32K tokens$0.0013
jev-1.13.0TypeSafe AI$0.042free~32K tokens$0.0013
  • Cost of a task ≈ (state tokens + the text of every question) × the input rate. One call can ask many questions about the same state, and the state is billed once.
  • Every call carries roughly 290 tokens of fixed overhead (measured 2026-09-19: a two-word state with one question billed 295 input tokens), so the floor is about $0.000012 per call.
  • Answers are bounded by the request: up to 255 options per choice, 2–10 levels per score, a single probability per yes/no. No cache or long-context pricing tiers.