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Mistral Large 3 vs Mistral Small 3.2

Compare Mistral AI and Mistral AI AI models

Mistral AI
Mistral Large 3
vs
Mistral AI
Mistral Small 3.2

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

Mistral Large 3

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

Mistral Small 3.2

Per Request:$0.000150
Daily:$0.015
Monthly:$0.45
Yearly:$5.475

Cost Differences

$0.001100
Per Request
$0.11
Daily
$3.30
Monthly
$40.15
Yearly

Mistral Small 3.2 costs less than Mistral Large 3

Feature Comparison

FeatureMistral Large 3Mistral Small 3.2
ProviderMistral AIMistral AI
Input Price$0.50/1M tokens$0.06/1M tokens
Output Price$1.50/1M tokens$0.18/1M tokens
Context Window256,000 tokens128,000 tokens
Max Output32,768 tokens8,192 tokens
Categoryflagshipefficient
Capabilities
textcodereasoning
textcode
Release Date12/2/202512/2/2025

Mistral Large 3 vs Mistral Small 3.2: Which Should You Choose?

Choosing between Mistral Large 3 and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.06/1M input tokens88% cheaper than Mistral Large 3. Meanwhile, Mistral Large 3 offers a significantly larger context window at 256,000 tokens vs 128,000 for Mistral Small 3.2.

These models target different tiers: Mistral Large 3 is a flagship model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Mistral Large 3 is built for complex tasks that require deeper reasoning, while Mistral Small 3.2 offers better value for routine operations.

Output costs matter too. Mistral Large 3 charges $1.50/1M output tokens vs $0.18 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.18/1M output tokens.

Best Use Cases

Choose Mistral Large 3 when:

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

Choose Mistral Small 3.2 when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Try Different Scenarios

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

Mistral Large 3 (Mistral AI)

Mistral Small 3.2 (Mistral AI)

Start using Mistral Large 3 today

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Start using Mistral Small 3.2 today

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Frequently Asked Questions

Which is cheaper, Mistral Large 3 or Mistral Small 3.2?
Mistral Small 3.2 is cheaper for input tokens at $0.06 per million tokens vs $0.50 for Mistral Large 3 — that's 88% savings on input costs.
What is the context window difference between Mistral Large 3 and Mistral Small 3.2?
Mistral Large 3 supports 256,000 tokens while Mistral Small 3.2 supports 128,000 tokens — a difference of 128,000 tokens in favor of Mistral Large 3.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Mistral Small 3.2 is the lower-cost option, while Mistral Large 3 offers a larger context window (256,000 vs 128,000 tokens). Choose Mistral Small 3.2 for budget sensitivity or Mistral Large 3 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Mistral Large 3 costs about $3.75/month and Mistral Small 3.2 costs about $0.45/month. Overall, Mistral Small 3.2 has lower combined input + output rates ($0.06 in, $0.18 out) vs Mistral Large 3.

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