Mistral Large 3 vs Mistral Small 4
Mistral Large 3 vs Mistral Small 4: Mistral Small 4 is cheaper for input-heavy usage ($0.15/M vs $0.50/M input tokens), while Mistral Large 3 is better for long-context tasks (256,000 tokens).
Direct answer: choose Mistral Small 4 for lower token spend and choose Mistral Large 3 when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Mistral Large 3
Mistral Small 4
Cost Differences
Mistral Small 4 costs less than Mistral Large 3
Quick Recommendation
Winner for direct API pricing: Mistral Small 4. At the default workload, Mistral Small 4 saves about $2.40/month ($29.20/year) versus Mistral Large 3.
Feature Comparison
| Feature | Mistral Large 3 | Mistral Small 4 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Input Price | $0.50/1M tokens | $0.15/1M tokens |
| Output Price | $1.50/1M tokens | $0.60/1M tokens |
| Context Window | 256,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 16,384 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textvisioncodereasoning |
| Release Date | 12/2/2025 | 3/18/2026 |
Mistral Large 3 vs Mistral Small 4: Which Should You Choose?
Choosing between Mistral Large 3 and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 4 is the more affordable option at $0.15/1M input tokens — 70% 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 4.
These models target different tiers: Mistral Large 3 is a flagship model while Mistral Small 4 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 4 offers better value for routine operations.
Output costs matter too. Mistral Large 3 charges $1.50/1M output tokens vs $0.60 for Mistral Small 4. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 4 has the edge here at $0.60/1M output tokens.
Multimodal capabilities: Mistral Small 4 supports vision (image inputs) while Mistral Large 3 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Mistral Large 3 when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
Choose Mistral Small 4 when:
- • Budget is a primary concern
- • You need more capabilities (vision)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
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
- • Higher input cost than Mistral Small 4
- • Higher output cost than Mistral Small 4
Mistral Small 4
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.60/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Smaller context window than Mistral Large 3
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Mistral Large 3 (Mistral AI)
Mistral Small 4 (Mistral AI)
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, Mistral Large 3 or Mistral Small 4?▼
What is the context window difference between Mistral Large 3 and Mistral Small 4?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
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