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Mistral Large 2 vs Mistral Medium 3.1

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Large 2 and Mistral Medium 3.1.

Mistral

Mistral Large 2

Mistral Large 2 is Mistral AI's second-generation flagship commercial model, delivering substantial improvements over the original Mistral Large in reasoning, tool use, multilingual capabilities, and instruction following. With a 1-million-token context window, it processes entire codebases and lengthy documents in a single pass. Mistral Large 2 excels at complex agentic workflows, structured JSON output, and native function calling โ€” making it one of the top choices for European enterprises requiring GDPR-compliant AI infrastructure.

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Mistral

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

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Technical Specifications

SpecificationMistral Large 2Mistral Medium 3.1
ProviderMistralMistral
Context Window1,048,576 tokens131,072 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)270 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-242025-08-13

API Pricing Comparison

Input Price per Million Tokens

Mistral Large 2

$0.60

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

Mistral Large 2

$1.80

Mistral Medium 3.1

$2.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Mistral Large 2 Quirks & Gotchas

  • โ–ธExcellent European data sovereignty โ€” GDPR-compliant infrastructure
  • โ–ธ1M context window enables full codebase analysis in a single pass

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.