Mistral Large 4 vs Qwen3.8 27B
Price, context window & benchmark comparison
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Verdict: Qwen3.8 27B is 45% cheaper than Mistral Large 4 on a typical 3:1 input/output mix. Mistral Large 4 scores higher on the Artificial Analysis Intelligence Index (26 vs 20.1). Mistral Large 4 has the larger context window (1M vs 1M).
| Mistral Large 4 | Qwen3.8 27B | |
|---|---|---|
| Input price / 1M | $0.70 | $0.15 |
| Output price / 1M | $2.10 | $1.88 |
| Blended price (3:1) | $1.05 | $0.58 |
| Cached input / 1M | $0.07 | $0.0375 |
| Context window | 1M | 1M |
| Max output | 262K | 236K |
| Intelligence index | 26 | 20.1 |
| Coding index | — | 68.1 |
| Providers | 3 | 22 |
| Best provider uptime (30m) | 100.0% | 100.0% |
| Vision input | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-10-06 | 2026-08-14 |
| Retirement | — | — |
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FAQ
Which is cheaper, Mistral Large 4 or Qwen3.8 27B?
Qwen3.8 27B is 45% cheaper than Mistral Large 4 on a typical 3:1 input/output mix.
Mistral Large 4 vs Qwen3.8 27B: which has a bigger context window?
Mistral Large 4: 1,048,576 tokens. Qwen3.8 27B: 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Mistral Large 4 ≈ $2,450, Qwen3.8 27B ≈ $1,238.
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