Mistral Small 3.2 24B vs Qwen3.8 Max Prime
Price, context window & benchmark comparison
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Compare different models
Verdict: Mistral Small 3.2 24B is 45.2× cheaper than Qwen3.8 Max Prime on a typical 3:1 input/output mix. Qwen3.8 Max Prime has the larger context window (1M vs 256K).
| Mistral Small 3.2 24B | Qwen3.8 Max Prime | |
|---|---|---|
| Input price / 1M | $0.0938 | $4.00 |
| Output price / 1M | $0.25 | $12.00 |
| Blended price (3:1) | $0.13 | $6.00 |
| Cached input / 1M | — | $0.50 |
| Context window | 256K | 1M |
| Max output | 16K | 131K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | Yes | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2025-06-20 | 2026-09-23 |
| Retirement | — | — |
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FAQ
Which is cheaper, Mistral Small 3.2 24B or Qwen3.8 Max Prime?
Mistral Small 3.2 24B is 45.2× cheaper than Qwen3.8 Max Prime on a typical 3:1 input/output mix.
Mistral Small 3.2 24B vs Qwen3.8 Max Prime: which has a bigger context window?
Mistral Small 3.2 24B: 256,000 tokens. Qwen3.8 Max Prime: 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Mistral Small 3.2 24B ≈ $312.60, Qwen3.8 Max Prime ≈ $14,000.
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