Model comparison
MiniMax-M2.7 vs Qwen3-Coder 480B-A35B Instruct
MiniMax-M2.7 and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (37.4 vs 37.7), so choose on price, context window or the category you care about most.
Last verified . 21 shared benchmarks.
MiniMax
Alibaba (Qwen)Summary
- They share 21 benchmarks with published results for both. MiniMax-M2.7 scores higher in 7 categories and Qwen3-Coder 480B-A35B Instruct in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 34.9 to 24.9.
- The biggest single-benchmark swing is Terminal-Bench: 45.1% for MiniMax-M2.7 and 27.2% for Qwen3-Coder 480B-A35B Instruct.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 205K.
Side by side
| MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 37.4 | 37.7 |
| Released | 2026-03-18 | 2025-04 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.30 | $1.50 |
| Output $ / M tokens | $1.20 | $7.50 |
| Results tracked | 30 | 25 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.4 (#115), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1397 | 1275 |
| WeirdML | 37% | 41.2% |
| LMArena Coding | 1454 | 1413 |
| ALE-Bench | 599.25 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 47% | — |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use MiniMax-M2.7 leads
MiniMax-M2.7: 24.9 (#103), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | 45.1% | 27.2% |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
MiniMax-M2.7: 19.0 (#248), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| Epoch Capabilities Index | 145.84 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
MiniMax-M2.7: 24.9 (#254), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1420 | 1364 |
| ProofBench | 3% | — |
Knowledge Too close to call
MiniMax-M2.7: 37.1 (#151), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1443 | 1337 |
| Vectara Hallucination Rate | 12.9% | — |
Multilingual MiniMax-M2.7 leads
MiniMax-M2.7: 50.5 (#120), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1382 | 1345 |
| LMArena Chinese | 1439 | 1356 |
| LMArena French | 1422 | 1394 |
| LMArena German | 1398 | 1324 |
| LMArena Japanese | 1261 | 1309 |
| LMArena Korean | 1313 | 1307 |
| LMArena Russian | 1383 | 1367 |
| LMArena Spanish | 1403 | 1360 |
Instruction Following MiniMax-M2.7 leads
MiniMax-M2.7: 74.2 (#101), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1356 |
Long Context MiniMax-M2.7 leads
MiniMax-M2.7: 43.3 (#94), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1419 | 1379 |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 59.1 (#107), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | MiniMax-M2.7 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1404 | 1356 |
| LMArena Creative Writing | 1354 | 1333 |
| LMArena Multi-Turn | 1413 | 1365 |
Frequently asked questions
Is MiniMax-M2.7 better than Qwen3-Coder 480B-A35B Instruct?
MiniMax-M2.7 and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (37.4 vs 37.7), so choose on price, context window or the category you care about most.
Which is cheaper, MiniMax-M2.7 or Qwen3-Coder 480B-A35B Instruct?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is MiniMax-M2.7 or Qwen3-Coder 480B-A35B Instruct better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.4 versus 36.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 205K.
How many benchmarks do MiniMax-M2.7 and Qwen3-Coder 480B-A35B Instruct share?
21 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.