MiniMax M2.7 vs Qwen3.8 27B
Price, context window & benchmark comparison
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Verdict: MiniMax M2.7 is 2.0× cheaper than Qwen3.8 27B on a typical 3:1 input/output mix. Qwen3.8 27B scores higher on the Artificial Analysis Intelligence Index (33.7 vs 22.8). Qwen3.8 27B has the larger context window (1M vs 205K).
| MiniMax M2.7 | Qwen3.8 27B | |
|---|---|---|
| Input price / 1M | $0.30 | $0.42 |
| Output price / 1M | $1.20 | $3.00 |
| Blended price (3:1) | $0.52 | $1.06 |
| Cached input / 1M | $0.06 | $0.085 |
| Context window | 205K | 1M |
| Max output | 131K | 131K |
| Intelligence index | 22.8 | 33.7 |
| Coding index | 52.6 | 68.1 |
| Providers | 9 | 16 |
| Best provider uptime (30m) | 100.0% | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-03-18 | 2026-08-14 |
| Retirement | — | — |
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FAQ
Which is cheaper, MiniMax M2.7 or Qwen3.8 27B?
MiniMax M2.7 is 2.0× cheaper than Qwen3.8 27B on a typical 3:1 input/output mix.
MiniMax M2.7 vs Qwen3.8 27B: which has a bigger context window?
MiniMax M2.7: 204,800 tokens. Qwen3.8 27B: 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: MiniMax M2.7 ≈ $1,200, Qwen3.8 27B ≈ $2,340.
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