Codestral vs Mistral Small 3.2
Codestral vs Mistral Small 3.2: Mistral Small 3.2 is cheaper for input-heavy usage ($0.10/M vs $0.30/M input tokens), while Codestral is better for long-context tasks (128,000 tokens).
Direct answer: choose Mistral Small 3.2 for lower token spend and choose Codestral 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)
Codestral
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Codestral
Quick Recommendation
Winner for direct API pricing: Mistral Small 3.2. At the default workload, Mistral Small 3.2 saves about $1.50/month ($18.25/year) versus Codestral.
Feature Comparison
| Feature | Codestral | Mistral Small 3.2 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Input Price | $0.30/1M tokens | $0.10/1M tokens |
| Output Price | $0.90/1M tokens | $0.30/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | balanced | efficient |
| Capabilities | textcode | textcode |
| Release Date | 7/30/2025 | 12/2/2025 |
Codestral vs Mistral Small 3.2: Which Should You Choose?
Choosing between Codestral 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 $0.10/1M input tokens — 67% cheaper than Codestral.
These models target different tiers: Codestral is a balanced model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Mistral Small 3.2 targets more demanding workloads, while Codestral provides a cost-effective option for everyday tasks.
Output costs matter too. Codestral charges $0.90/1M output tokens vs $0.30 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 $0.30/1M output tokens.
Best Use Cases
Choose Codestral when:
- • 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
Pros and Caveats at a Glance
Codestral
- • Input pricing: $0.30/M tokens
- • Output pricing: $0.90/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Mistral Small 3.2
- • Higher output cost than Mistral Small 3.2
Mistral Small 3.2
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 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
Codestral (Mistral AI)
Mistral Small 3.2 (Mistral AI)
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