Which is cheaper, Mistral Large 3 (675B Instruct 2512) or Pixtral Large?
As of August 25, 2026, Mistral Large 3 (675B Instruct 2512) is 75% cheaper on blended LLM API pricing. Mistral Large 3 (675B Instruct 2512) costs $0.50 per million input tokens and $1.50 per million output tokens ($2.00 blended 1M-in + 1M-out). Pixtral Large costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Mistral Large 3 (675B Instruct 2512) vs Pixtral Large cost per million tokens?
Mistral Large 3 (675B Instruct 2512) Mistral API pricing is $0.50 input and $1.50 output per million tokens via Mistral AI. Pixtral Large Mistral API pricing is $2.00 input and $6.00 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Mistral Large 3 (675B Instruct 2512) or Pixtral Large?
Mistral Large 3 (675B Instruct 2512) has a published LiveCodeBench score of 34.4%. Pixtral Large does not have that eval on this page yet.
What is the context window for Mistral Large 3 (675B Instruct 2512) vs Pixtral Large?
Mistral Large 3 (675B Instruct 2512) supports a 262K token context window, while Pixtral Large supports 128K tokens. Mistral Large 3 (675B Instruct 2512) offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Mistral Large 3 (675B Instruct 2512) or Pixtral Large?
Shared benchmark scores for Mistral Large 3 (675B Instruct 2512) and Pixtral Large are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Mistral Large 3 (675B Instruct 2512) or Pixtral Large better for production use?
Both Mistral Large 3 (675B Instruct 2512) and Pixtral Large are production API models. For cost-sensitive production traffic, Mistral Large 3 (675B Instruct 2512) has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Mistral Large 3 (675B Instruct 2512) and Pixtral Large in my app?
Yes. Call Mistral Large 3 (675B Instruct 2512) through Mistral AI and Pixtral Large through Mistral AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Mistral Large 3 (675B Instruct 2512) vs Pixtral Large pricing data?
List rates are the latest published Mistral API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/pricing/ and https://docs.mistral.ai/platform/pricing/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Mistral Large 3 (675B Instruct 2512) and Pixtral Large?
Mistral Large 3 (675B Instruct 2512) supports up to 262K output tokens per request, while Pixtral Large supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Mistral Large 3 (675B Instruct 2512) or Pixtral Large?
Mistral Large 3 (675B Instruct 2512) runs at approximately 45.9 tokens/second while Pixtral Large runs at 0.1 tokens/second. Mistral Large 3 (675B Instruct 2512) is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Mistral Large 3 (675B Instruct 2512) vs Pixtral Large comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Mistral Large 3 (675B Instruct 2512) or Pixtral Large from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
