Mistral Nemo vs Qwen3 30B A3B Thinking 2507
Price, context window & benchmark comparison
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Verdict: Mistral Nemo is 25.6× cheaper than Qwen3 30B A3B Thinking 2507 on a typical 3:1 input/output mix. Mistral Nemo has the larger context window (131K vs 82K).
| Mistral Nemo | Qwen3 30B A3B Thinking 2507 | |
|---|---|---|
| Input price / 1M | $0.029 | $0.20 |
| Output price / 1M | $0.03 | $2.40 |
| Blended price (3:1) | $0.0293 | $0.75 |
| Cached input / 1M | — | — |
| Context window | 131K | 82K |
| Max output | 16K | 33K |
| Intelligence index | — | 9.8 |
| Coding index | — | 12.1 |
| Providers | — | — |
| Best provider uptime (30m) | — | — |
| Vision input | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2024-07-19 | 2025-08-28 |
| Retirement | — | 2026-10-09 |
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FAQ
Which is cheaper, Mistral Nemo or Qwen3 30B A3B Thinking 2507?
Mistral Nemo is 25.6× cheaper than Qwen3 30B A3B Thinking 2507 on a typical 3:1 input/output mix.
Mistral Nemo vs Qwen3 30B A3B Thinking 2507: which has a bigger context window?
Mistral Nemo: 131,072 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 Nemo ≈ $73.00, Qwen3 30B A3B Thinking 2507 ≈ $1,600.
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