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Mistral Medium 3 vs Mistral Medium 3.1

Pricing verdict: Mistral Medium 3 vs Mistral Medium 3.1: pricing is a tie at $0.40/M input and $2.00/M output. The real choice is context: Mistral Medium 3.1 is better for long-context tasks (131,072 tokens vs 128,000).

Direct answer: pricing is a tie. Choose Mistral Medium 3.1 for the larger 131.1K context window, or pick Mistral Medium 3 if 128K is already enough for your workload.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Mistral AI
Mistral Medium 3
vs
Mistral AI
Mistral Medium 3.1

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Mistral Medium 3

Per Request:$0.001400
Daily:$0.14
Monthly:$4.20
Yearly:$51.10

Mistral Medium 3.1

Per Request:$0.001400
Daily:$0.14
Monthly:$4.20
Yearly:$51.10

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $4.20/month. Pick Mistral Medium 3.1 if you need the larger 131.1K context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureMistral Medium 3Mistral Medium 3.1
ProviderMistral AIMistral AI
Input Price$0.40/1M tokens$0.40/1M tokens
Output Price$2.00/1M tokens$2.00/1M tokens
Context Window128,000 tokens131,072 tokens
Max Output16,384 tokens16,384 tokens
Categorybalancedbalanced
Capabilities
textcode
textcodereasoning
Release Date5/7/20258/1/2025

Mistral Medium 3 vs Mistral Medium 3.1: Which Should You Choose?

Choosing between Mistral Medium 3 and Mistral Medium 3.1 depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, Mistral Medium 3.1 offers a significantly larger context window at 131,072 tokens vs 128,000 for Mistral Medium 3.

Both models are in the balanced category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — direct API pricing stays tied, so the real decision is context, latency, and provider fit.

Output costs matter too. Mistral Medium 3 charges $2.00/1M output tokens vs $2.00 for Mistral Medium 3.1.

Best Use Cases

Choose Mistral Medium 3 when:

  • • You're already using Mistral AI's API ecosystem

Choose Mistral Medium 3.1 when:

  • • You need a larger context window (131,072 tokens)
  • • You need more capabilities (reasoning)
  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

Mistral Medium 3

  • Input pricing: $0.40/M tokens
  • Output pricing: $2.00/M tokens
  • Context window: 128,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Smaller context window than Mistral Medium 3.1

Mistral Medium 3.1

  • Input pricing: $0.40/M tokens
  • Output pricing: $2.00/M tokens
  • Context window: 131,072 tokens
  • Max output: 16,384 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Mistral Medium 3 (Mistral AI)

Mistral Medium 3.1 (Mistral AI)

Start using Mistral Medium 3 today

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Start using Mistral Medium 3.1 today

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Frequently Asked Questions

Which is cheaper, Mistral Medium 3 or Mistral Medium 3.1?
They are priced the same at $0.40 per million input tokens and $2.00 per million output tokens. The real difference is context and workload fit: Mistral Medium 3.1 gives you 131,072 tokens of context vs 128,000 for Mistral Medium 3.
What is the context window difference between Mistral Medium 3 and Mistral Medium 3.1?
Mistral Medium 3 supports 128,000 tokens while Mistral Medium 3.1 supports 131,072 tokens — a difference of 3,072 tokens in favor of Mistral Medium 3.1.
Which model is better for AI Chatbot?
Both models support text, and direct token pricing is tied. For ai chatbot, start with Mistral Medium 3.1 if you need the larger 131,072-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $4.20/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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