Mistral Large 4 vs Qwen3 30B A3B Thinking 2507
Price, context window & benchmark comparison
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Verdict: Qwen3 30B A3B Thinking 2507 is 29% cheaper than Mistral Large 4 on a typical 3:1 input/output mix. Mistral Large 4 scores higher on the Artificial Analysis Intelligence Index (26.1 vs 9.8). Mistral Large 4 has the larger context window (1M vs 82K).
| Mistral Large 4 | Qwen3 30B A3B Thinking 2507 | |
|---|---|---|
| Input price / 1M | $0.70 | $0.20 |
| Output price / 1M | $2.10 | $2.40 |
| Blended price (3:1) | $1.05 | $0.75 |
| Cached input / 1M | $0.07 | — |
| Context window | 1M | 82K |
| Max output | 262K | 33K |
| Intelligence index | 26.1 | 9.8 |
| Coding index | — | 12.1 |
| Providers | 2 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-10-06 | 2025-08-28 |
| Retirement | — | 2026-10-09 |
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FAQ
Which is cheaper, Mistral Large 4 or Qwen3 30B A3B Thinking 2507?
Qwen3 30B A3B Thinking 2507 is 29% cheaper than Mistral Large 4 on a typical 3:1 input/output mix.
Mistral Large 4 vs Qwen3 30B A3B Thinking 2507: which has a bigger context window?
Mistral Large 4: 1,048,576 tokens. Qwen3 30B A3B Thinking 2507: 81,920 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Mistral Large 4 ≈ $2,450, Qwen3 30B A3B Thinking 2507 ≈ $1,600.
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