Model Brief

What each inference provider charges

29 prices from 14 providers, in dollars per million tokens, each read off the provider's own page on the date in the last column. One row per provider and model. Click a price header to sort.

Price per million tokens, by provider and model
Provider Model Context Region Checked
Anthropicfable-5.2$8.00$40.001,000,000us
Anthropicopus-5.5$4.00$20.001,000,000us
Anthropicsonnet-5.5$2.00$10.001,000,000us
Anthropichaiku-5.5$0.10$0.501,000,000us
Cerebrasgpt-oss-120b$0.35$0.75131,072us
Cerebrasqwen-3.8-27b$0.99$1.49131,072us
DeepInfradeepseek-v4.1-flash-1017$0.20$0.601,048,576us
DeepSeekdeepseek-v4.1-flash-1017$0.30$1.201,000,000cn
DeepSeekdeepseek-v4-pro-0813$1.32$3.961,000,000cn
Fireworksdeepseek-v4.1-flash-1017$0.30$1.201,048,576us
Fireworkskimi-k3.1-pro$2.00$10.001,048,576us
Googlegemini-4-argon$2.00$10.001,048,576us
Googlegemini-3.8-flash$0.75$3.751,048,576us
Googlegemini-3.5-flash-lite$0.30$2.501,048,576us
Groqgpt-oss-120b$0.15$0.60131,072us
Groqqwen3.8-27b$0.80$4.00131,072us
Mistralmistral-large-4$0.70$2.101,000,000eu
Mistralmistral-small-4$0.15$0.60256,000eu
OpenAIgpt-6-astra$10.00$50.001,050,000us
OpenAIgpt-6.1-sol$2.00$10.001,050,000us
OpenAIgpt-6.1-terra$1.00$5.001,050,000us
OpenAIgpt-6-luna$0.10$0.501,050,000us
OpenRoutergpt-6-astra$10.00$50.001,050,000us
Primalabsdeepseek-v4.1-flash-1017$0.24$0.961,048,576us
Primalabsmimo-v2.6-pro$3.50$7.001,048,576us
Togetherdeepseek-v4.1-flash-1017$0.30$1.201,000,000us
Togetherkimi-k3$3.00$15.001,050,000us
Venicedeepseek-v4-flash-0731$0.13$0.261,000,000us
xAIgrok-4.7$2.00$6.00500,000us

Region is where the provider runs inference. A rate marked introductory or off-peak says so under the provider below.

What each provider is for

Anthropic

Closed models in four tiers, all with a million-token window. Pick it for long documents and code review, where the top tier earns its rate on the hardest call and Haiku carries the volume.

Source: www.anthropic.com/pricing, checked 10 November 2026.

Cerebras

Wafer-scale silicon serving a short list of open models. The reason to be here is time to first token, not the catalogue.

Source: www.cerebras.ai/pricing, checked 10 November 2026.

DeepInfra

Open-weight models at low list prices, with spot and batch discounts on top. A cheap default for work that can wait in a queue.

Source: deepinfra.com/pricing, checked 10 November 2026.

DeepSeek

The lab's own API for DeepSeek weights, hosted in China and priced in peak and off-peak bands. Direct access, at the source.

Source: api-docs.deepseek.com/quick_start/pricing, checked 10 November 2026.

Fireworks

Open-weight serving in three service levels: standard, spot and batch. One vendor for several open families, with a price for each level of patience.

Source: fireworks.ai/pricing, docs.fireworks.ai/serverless/pricing, checked 10 November 2026.

Google

Gemini models with introductory rates that step up on a published date. Long context and multimodal input are the draw.

Source: ai.google.dev/gemini-api/docs/pricing, checked 10 November 2026.

Groq

Custom silicon for a short list of open models, billed per token. Use it when the first token has to arrive fast.

Source: console.groq.com/docs/models, checked 10 November 2026.

Mistral

Mistral's own models, hosted in the EU, with rates on the model card. Data residency is the reason to pick it.

Source: docs.mistral.ai/models/model-cards/mistral-large-4, docs.mistral.ai/models/model-cards/mistral-small-4-0-26-03, checked 10 November 2026.

OpenAI

Four tiers from Luna to Astra, with the top tier priced like the frontier it is. The default for tool calling and anything that has to work on the first try.

Source: platform.openai.com/docs/pricing, checked 10 November 2026.

OpenRouter

A router in front of every other provider, at the model's list price plus a fee on credits. Use it to compare providers without four accounts, and to fail over between them.

Source: openrouter.ai/pricing, checked 10 November 2026.

Primalabs

A small catalogue of open models, billed per token with reasoning counted as output. Built for agents whose bill has to be predictable.

Source: docs.primalabs.ai/inference/models, checked 10 November 2026.

Together

Open-weight hosting with a wide catalogue and one price per model. A second source for an open model you already run elsewhere.

Source: www.together.ai/pricing, checked 10 November 2026.

Venice

Private inference: prompts are not stored, and the catalogue mixes open models with a few frontier ones. Pick it when retention, not price, is the constraint.

Source: docs.venice.ai/overview/pricing, checked 10 November 2026.

xAI

Grok models behind one API, with search over X. Use it when the answer depends on what was posted in the last hour.

Source: docs.x.ai/docs/models, checked 10 November 2026.

Last checked 10 November 2026. Every row links to the page its price came from.

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