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Magistral Small vs Mistral Large 3

Pricing verdict: Magistral Small vs Mistral Large 3: pricing is a tie at $0.50/M input and $1.50/M output. The real choice is context: Mistral Large 3 is better for long-context tasks (256,000 tokens vs 128,000).

Direct answer: pricing is a tie. Choose Mistral Large 3 for the larger 256K context window, or pick Magistral Small 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
Magistral Small
vs
Mistral AI
Mistral Large 3

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

Magistral Small

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

Mistral Large 3

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

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 $3.75/month. Pick Mistral Large 3 if you need the larger 256K context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureMagistral SmallMistral Large 3
ProviderMistral AIMistral AI
Input Price$0.50/1M tokens$0.50/1M tokens
Output Price$1.50/1M tokens$1.50/1M tokens
Context Window128,000 tokens256,000 tokens
Max Output16,384 tokens32,768 tokens
Categoryreasoningflagship
Capabilities
textreasoning
textcodereasoning
Release Date12/15/202512/2/2025

Magistral Small vs Mistral Large 3: Which Should You Choose?

Choosing between Magistral Small and Mistral Large 3 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 Large 3 offers a significantly larger context window at 256,000 tokens vs 128,000 for Magistral Small.

These models target different tiers: Magistral Small is a reasoning model while Mistral Large 3 is flagship. This means they're optimized for different workloads. Magistral Small is built for complex tasks that require deeper reasoning, while Mistral Large 3 offers better value for routine operations.

Output costs matter too. Magistral Small charges $1.50/1M output tokens vs $1.50 for Mistral Large 3.

Best Use Cases

Choose Magistral Small when:

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

Choose Mistral Large 3 when:

  • • You need a larger context window (256,000 tokens)
  • • You need more capabilities (code)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

Magistral Small

  • Input pricing: $0.50/M tokens
  • Output pricing: $1.50/M tokens
  • Context window: 128,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Smaller context window than Mistral Large 3

Mistral Large 3

  • Input pricing: $0.50/M tokens
  • Output pricing: $1.50/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 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

Magistral Small (Mistral AI)

Mistral Large 3 (Mistral AI)

Start using Magistral Small today

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Start using Mistral Large 3 today

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Frequently Asked Questions

Which is cheaper, Magistral Small or Mistral Large 3?
They are priced the same at $0.50 per million input tokens and $1.50 per million output tokens. The real difference is context and workload fit: Mistral Large 3 gives you 256,000 tokens of context vs 128,000 for Magistral Small.
What is the context window difference between Magistral Small and Mistral Large 3?
Magistral Small supports 128,000 tokens while Mistral Large 3 supports 256,000 tokens — a difference of 128,000 tokens in favor of Mistral Large 3.
Which model is better for AI Chatbot?
Both models support text, and direct token pricing is tied. For ai chatbot, start with Mistral Large 3 if you need the larger 256,000-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 $3.75/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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