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Model vs model · live prices

GPT-6.1 Sol Pro vs Mistral Large 2407

Mistral Large 2407 is 1.3× cheaper than GPT-6.1 Sol Pro at a 3:1 input:output mix ($3 vs $4 per million tokens).
Per 1M tokensOpenAI: GPT-6.1 Sol Promistralai: Mistral Large 2407
Input$2$2
Output$10$6
Cached input$0.1$0.2
Blended 3:1$4$3
Context window1.1M131K
ReleasedSeptember 29, 2026November 19, 2024
Tools · reasoningTools · ReasoningTools · No reasoning

List prices from OpenRouter, refreshed hourly. Lower price and larger context highlighted.

What the same work costs on each

At list price, before batch or caching discounts.
WorkloadGPT-6.1 Sol ProMistral Large 2407Difference
1,000 chat messages
1,000 input + 500 output tokens each
$7.00$5.00$2.00
1,000 RAG questions
8,000 input + 500 output tokens each
$21.00$19.00$2.00
100 coding-agent steps
30,000 input + 2,000 output tokens each, no caching
$8.00$7.20$0.80

Which one should you use?

Price is only half the decision: run both on a sample of your own prompts and compare quality, speed and failure rate. If Mistral Large 2407 is good enough for a task, it saves $2.00 per thousand chat messages. A common setup is to route easy requests to the cheaper model and keep GPT-6.1 Sol Pro for the hard ones.

Both are available behind one OpenAI-compatible key through OpenRouter or a reseller, so switching is a one-line change. See where credits cost least today and how to cut the token bill.

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Disclosure: this site is run by the team behind smaaart, one of the options compared. Tables are ranked by price only, from live quotes and published fees, including when smaaart isn't first. How we compare