Model Comparison

Pricing updated daily · Last refreshed Oct 15, 2026

Context windows, output limits and per-million-token pricing across providers. Sort any column; filter to the providers you actually ship on.

Filters:
ModelProviderContext windowInput $/1M ↑Output $/1MMax outputMultimodal
Llama 3.2 1B InstructMeta60,000$0.03$0.2054,000
Command R7B (12-2024)Cohere128,000$0.04$0.154,000
Claude Haiku 5.5Anthropic1,000,000$0.10$0.50128,000
GPT-6 LunaOpenAI1,050,000$0.10$0.50128,000
GPT-6 Luna ProOpenAI1,050,000$0.10$0.50128,000
Command R (08-2024)Cohere128,000$0.15$0.604,000
Mistral Small 4Mistral262,144$0.15$0.60209,715
Llama 4 ScoutMeta1,310,720$0.18$0.59117,964
Llama Guard 4 12BMeta163,840$0.18$0.1816,384
Llama 4 MaverickMeta1,048,576$0.19$0.6516,384
Ministral 3 14B 2512Mistral262,144$0.20$0.20209,715
Command A+Cohere192,000$0.30$1.5064,000
Devstral 2 2512Mistral262,144$0.40$2.00209,715
Llama 3.3 70B InstructMeta131,072$0.59$0.7932,768
Mistral Large 4Mistral1,048,576$0.68$2.09262,144
Gemini 3.6 FlashGoogle1,048,576$0.75$3.7565,536
Gemini 3.7 FlashGoogle1,048,576$0.75$3.7565,536
Gemini 3.8 FlashGoogle1,048,576$0.75$3.7565,536
Nano Banana 2.1Google65,536$1.50$7.5058,982
Mistral Medium 3.5Mistral262,144$1.50$7.50209,715
Claude Sonnet 5.5Anthropic1,000,000$2.00$10.00128,000
Gemini 4 ArgonGoogle1,048,576$2.00$10.0065,536
GPT-6 Sol ProOpenAI1,050,000$2.00$10.00128,000
GPT-6.1 SolOpenAI1,050,000$2.00$10.00128,000
GPT-6.1 Sol ProOpenAI1,050,000$2.00$10.00128,000
Command ACohere256,000$2.50$10.008,192
Command R+ (08-2024)Cohere128,000$2.50$10.004,000
Claude Opus 5.5Anthropic1,000,000$4.00$20.00128,000
Claude Opus 5Anthropic1,000,000$5.00$25.00128,000
Claude Fable 5.1Anthropic1,000,000$10.00$50.00128,000

Showing 30 of 30 models.

Where these numbers come from

Pricing is read from OpenRouter’s public model catalogue once a day. OpenRouter is a routing marketplace, so for a few models its rate can differ from a provider’s own list price — check the vendor’s pricing page before signing a contract on these figures.

Context sensitivity

A large context window is not the same as usable recall. Retrieval accuracy typically degrades well before the advertised limit, so treat the context column as a ceiling rather than a promise.

Frequently asked questions

Where does the model data come from?

Context windows, output limits and prices come from OpenRouter’s public model catalogue, read once a day. If the catalogue is unavailable the page shows a committed snapshot and says how old it is.

Why can a price here differ from the provider’s own pricing page?

OpenRouter is a routing marketplace, and for some models its listed rate differs from the provider’s direct list price. Treat this table as a comparison aid and confirm the figure on the vendor’s pricing page before you commit to a budget.

What is the difference between context window and max output?

The context window is the total number of tokens a model can handle in a single request, covering your input and its reply together. Max output is the cap on how many tokens it can generate in one response. A large window is a ceiling, not a promise: retrieval accuracy typically degrades well before the advertised limit.

Can I sort, filter or export the table?

Yes. You can sort by any column, search by name, filter by provider, show only multimodal models, and export the filtered view as a CSV file. All of it happens in your browser.

llmtools is a vendor-neutral toolkit for working with large language models — token counting, cost estimation and model comparison, computed in your browser. OpenAI token counts are exact, using the same encoding the model does (o200k_base for GPT-4o, cl100k_base for GPT-4/3.5); Claude and Gemini counts are labelled approximations, since neither publishes a tokenizer that runs client-side. Model pricing is read from OpenRouter’s public catalogue once a day. Nothing you type is ever transmitted anywhere.