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Devstral 2 vs Mistral Medium 3.1

Pricing verdict: Devstral 2 vs Mistral Medium 3.1: pricing is a tie at $0.40/M input and $2.00/M output. The real choice is context: Devstral 2 is better for long-context tasks (262,144 tokens vs 131,072).

Direct answer: pricing is a tie. Choose Devstral 2 for the larger 262.1K context window, or pick Mistral Medium 3.1 if 131.1K 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
Devstral 2
vs
Mistral AI
Mistral Medium 3.1

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

Devstral 2

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 Devstral 2 if you need the larger 262.1K context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureDevstral 2Mistral 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 Window262,144 tokens131,072 tokens
Max Output32,768 tokens16,384 tokens
Categoryefficientbalanced
Capabilities
textcode
textcodereasoning
Release Date12/9/20258/1/2025

Devstral 2 vs Mistral Medium 3.1: Which Should You Choose?

Choosing between Devstral 2 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, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 131,072 for Mistral Medium 3.1.

These models target different tiers: Devstral 2 is a efficient model while Mistral Medium 3.1 is balanced. This means they're optimized for different workloads. Mistral Medium 3.1 targets more demanding workloads, while Devstral 2 provides a cost-effective option for everyday tasks.

Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $2.00 for Mistral Medium 3.1.

Best Use Cases

Choose Devstral 2 when:

  • • You need a larger context window (262,144 tokens)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Mistral Medium 3.1 when:

  • • You need more capabilities (reasoning)
  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

Devstral 2

  • Input pricing: $0.40/M tokens
  • Output pricing: $2.00/M tokens
  • Context window: 262,144 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

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

  • Smaller context window than Devstral 2

Try Different Scenarios

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

Devstral 2 (Mistral AI)

Mistral Medium 3.1 (Mistral AI)

Start using Devstral 2 today

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Start using Mistral Medium 3.1 today

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Frequently Asked Questions

Which is cheaper, Devstral 2 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: Devstral 2 gives you 262,144 tokens of context vs 131,072 for Mistral Medium 3.1.
What is the context window difference between Devstral 2 and Mistral Medium 3.1?
Devstral 2 supports 262,144 tokens while Mistral Medium 3.1 supports 131,072 tokens — a difference of 131,072 tokens in favor of Devstral 2.
Which model is better for AI Chatbot?
Both models support text, and direct token pricing is tied. For ai chatbot, start with Devstral 2 if you need the larger 262,144-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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