As of August 21, 2026, Pixtral Large API pricing is $2.00 per million input tokens and $6.00 per million output tokens. A typical 100K-in / 20K-out request costs $0.32. Source: https://docs.mistral.ai/platform/pricing/
Source: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)
Input $/M
$2.00
Output $/M
$6.00
Blended / 1M
$8.00
100K / 20K request
$0.32
| Context Window | 128K |
|---|---|
| Max Output | 128K tokens |
| Release Date | 2024-11-18 |
| Knowledge Cutoff | N/A |
| License | Open Source |
| Throughput | 0.1 tok/s |
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As of August 21, 2026, Pixtral Large Mistral API pricing is $2.00 per million input tokens and $6.00 per million output tokens via Mistral AI. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://docs.mistral.ai/platform/pricing/
On this page the blended Pixtral Large API cost is $8.00 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $12.00.
A typical Pixtral Large API request with 100K input tokens and 20K output tokens costs about $0.32 at current rates as of August 21, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Mistral AI can bring the real invoice lower than the public list rate at https://docs.mistral.ai/platform/pricing/.
Pixtral Large supports a 128K token context window and can generate up to 128K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Pixtral Large is an open-weight model by Mistral. You can download the weights and self-host, or pay Mistral AI's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Pixtral Large currently reports MMMU 64%, Ai2d 93.8%, Docvqa 93.3%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Pixtral Large vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Pixtral Large. Open-weight models can be cheaper still if you self-host, but that is not the same as Mistral API pricing on this page.
Pixtral Large is called through Mistral AI's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Mistral AI and 5+ other providers with auth, payments, and deployment already configured.
This Pixtral Large page tracks the latest published Mistral API pricing from Mistral AI, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://docs.mistral.ai/platform/pricing/. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Pixtral Large has a measured throughput of about 0.1 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.
Pixtral Large is a open-source model from Mistral. Current API pricing is $2.00 per million input tokens and $6.00 per million output tokens, with a 128K token context window. A blended 1M-in / 1M-out workload costs $8.00.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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