Mistral Large vs Qwen3.8 Max Prime
Price, context window & benchmark comparison
VS
Compare different models
Verdict: Mistral Large is 2.0× 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 128K).
| Mistral Large | Qwen3.8 Max Prime | |
|---|---|---|
| Input price / 1M | $2.00 | $4.00 |
| Output price / 1M | $6.00 | $12.00 |
| Blended price (3:1) | $3.00 | $6.00 |
| Cached input / 1M | $0.20 | $0.50 |
| Context window | 128K | 1M |
| Max output | 102K | 131K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2024-02-26 | 2026-09-23 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, Mistral Large or Qwen3.8 Max Prime?
Mistral Large is 2.0× cheaper than Qwen3.8 Max Prime on a typical 3:1 input/output mix.
Mistral Large vs Qwen3.8 Max Prime: which has a bigger context window?
Mistral Large: 128,000 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 Large ≈ $7,000, Qwen3.8 Max Prime ≈ $14,000.
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