Mistral Medium 3.1 by Mistral demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
General Benchmarks
Coding Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Mistral Medium 3.1 — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
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Mistral Medium 3.1 — Frequently Asked Questions
How intelligent is Mistral Medium 3.1?
Mistral Medium 3.1 scores 1250 on the Chatbot Arena ELO rating, making it a mid-tier AI model. This score is based on blind head-to-head human preference voting.
How much does Mistral Medium 3.1 cost?
Mistral Medium 3.1 costs $0.40 per 1M input tokens and $2.0 per 1M output tokens. This makes it one of the more affordable models.
How fast is Mistral Medium 3.1?
Mistral Medium 3.1 generates output at 110 tokens per second, which is moderate compared to other models. The time to first token is 200 ms.
How good is Mistral Medium 3.1 at coding?
Mistral Medium 3.1 achieves 28.0% on SWE-bench Verified, demonstrating basic real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Mistral Medium 3.1 at math and reasoning?
Mistral Medium 3.1 scores 68.0% on the MATH benchmark (competition-level mathematics). It also achieves 40.0% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Mistral Medium 3.1?
Mistral Medium 3.1 has a context window of 131K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Mistral Medium 3.1?
Mistral Medium 3.1 was created by Mistral. It is classified as a mid model in the AI Value Index.
Is Mistral Medium 3.1 open source?
No, Mistral Medium 3.1 is a proprietary model. It is available through Mistral's API and compatible providers.