Mistral Small 3.2 vs Mistral Small 4
Compare Mistral AI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Mistral Small 3.2
Mistral Small 4
Cost Differences
Mistral Small 4 costs more than Mistral Small 3.2
Feature Comparison
| Feature | Mistral Small 3.2 | Mistral Small 4 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Input Price | $0.06/1M tokens | $0.15/1M tokens |
| Output Price | $0.18/1M tokens | $0.60/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 8,192 tokens | 16,384 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | textvisioncodereasoning |
| Release Date | 12/2/2025 | 3/18/2026 |
Mistral Small 3.2 vs Mistral Small 4: Which Should You Choose?
Choosing between Mistral Small 3.2 and Mistral Small 4 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 tokens — 60% cheaper than Mistral Small 4.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Small 3.2 would save you roughly $90.00/month compared to Mistral Small 4. For startups and indie developers, that difference can be significant.
Output costs matter too. Mistral Small 3.2 charges $0.18/1M 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 3.2 has the edge here at $0.18/1M output tokens.
Multimodal capabilities: Mistral Small 4 supports vision (image inputs) while Mistral Small 3.2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
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
Choose Mistral Small 4 when:
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 16,384 tokens)
- • 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 Small 3.2 (Mistral AI)
Mistral Small 4 (Mistral AI)
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