Model comparison
MiniMax-M2.7 vs Qwen3.6 35B-A3B
MiniMax-M2.7 and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.7 vs 37.6), so choose on price, context window or the category you care about most.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. MiniMax-M2.7 scores higher in 2 categories and Qwen3.6 35B-A3B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 37.7.
- The biggest single-benchmark swing is Terminal-Bench: 45.1% for MiniMax-M2.7 and 23% for Qwen3.6 35B-A3B.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.25 / $1.49 for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B accepts more context: 262K tokens versus 205K.
Side by side
| MiniMax-M2.7 | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 37.7 | 37.6 |
| Released | 2026-03-18 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.30 | $0.25 |
| Output $ / M tokens | $1.20 | $1.49 |
| Results tracked | 30 | 14 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.8 (#120), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | 47% | 35.8% |
| WeirdML | 37% | 34.5% |
| LMArena WebDev | 1398 | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use MiniMax-M2.7 leads
MiniMax-M2.7: 25.1 (#111), Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | 45.1% | 23% |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Qwen3.6 35B-A3B leads
MiniMax-M2.7: 19.7 (#253), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | 24.7% | 41.6% |
| CritPt | 0.6% | 0.3% |
| Epoch Capabilities Index | 145.85 | 143.93 |
| Chess Puzzles | — | 26% |
| Thematic Generalization | 39.3% | — |
| LMArena Hard Prompts | 1422 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
Math Qwen3.6 35B-A3B leads
MiniMax-M2.7: 25.9 (#263), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| ProofBench | 3% | — |
| LMArena Math | 1420 | — |
Knowledge Qwen3.6 35B-A3B leads
MiniMax-M2.7: 37.7 (#152), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| Vectara Hallucination Rate | 12.9% | — |
| LMArena Expert | 1444 | — |
Multilingual Not comparable
MiniMax-M2.7: 50.3 (#123), Qwen3.6 35B-A3B: —
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1441 | — |
| LMArena French | 1421 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1262 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1383 | — |
| LMArena Spanish | 1403 | — |
Instruction Following Not comparable
MiniMax-M2.7: 74.1 (#103), Qwen3.6 35B-A3B: —
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
MiniMax-M2.7: 43.3 (#99), Qwen3.6 35B-A3B: —
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1419 | — |
Writing & Preference Not comparable
MiniMax-M2.7: 58.9 (#112), Qwen3.6 35B-A3B: —
| Benchmark | MiniMax-M2.7 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1405 | — |
| LMArena Creative Writing | 1354 | — |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is MiniMax-M2.7 better than Qwen3.6 35B-A3B?
MiniMax-M2.7 and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.7 vs 37.6), so choose on price, context window or the category you care about most.
Which is cheaper, MiniMax-M2.7 or Qwen3.6 35B-A3B?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen3.6 35B-A3B lists at $0.25 and $1.49.
Is MiniMax-M2.7 or Qwen3.6 35B-A3B better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 37.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 35B-A3B does, with 262K tokens against 205K.
How many benchmarks do MiniMax-M2.7 and Qwen3.6 35B-A3B share?
6 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Qwen3.6 35B-A3B has 14.