Model comparison
MiniMax-M3 vs Qwen3.5-Flash
MiniMax-M3 is the stronger model overall, scoring 43.8 to 42.5 on the Noometry Index. Qwen3.5-Flash costs 3.0× less per token, which makes it the better buy when MiniMax-M3's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. MiniMax-M3 scores higher in 7 categories and Qwen3.5-Flash in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 43.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 71.1% for MiniMax-M3 and 84.4% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M3 | Qwen3.5-Flash | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 43.8 | 42.5 |
| Released | 2026-06-01 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | 1M | 1M |
| Max output | 512K | 66K |
| Input $ / M tokens | $0.30 | $0.10 |
| Output $ / M tokens | $1.20 | $0.40 |
| Results tracked | 41 | 32 |
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Category by category
Coding MiniMax-M3 leads
MiniMax-M3: 41.8 (#118), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1482 | 1244 |
| LMArena Coding | 1469 | 1412 |
| ALE-Bench | 640.02 | 221.8 |
| FrontierCode | 14.7% | — |
| SciCode | 47.1% | — |
Agentic & Tool Use Not comparable
MiniMax-M3: 22.6 (#130), Qwen3.5-Flash: —
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | 2,158 | 462.69 |
| APEX-Agents | 37.7% | — |
| OSWorld 2.0 | 4.6% | — |
| GBAEval | 0.9% | — |
Reasoning Qwen3.5-Flash leads
MiniMax-M3: 30.1 (#87), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 14% | 21% |
| LMArena Hard Prompts | 1447 | 1403 |
| Mystery Game Puzzles | 8% | 20% |
| DTBench | 78.9% | 82.9% |
| LMCA | 33.7% | 29.1% |
| Epoch Capabilities Index | 146.95 | 143.98 |
| SimpleBench | 45.8% | — |
| NYT Connections (extended) | 65.1% | — |
| CritPt | 3.7% | — |
| Surface Evolver Bench | 55% | — |
| ForecastBench | 61.4 | — |
Math MiniMax-M3 leads
MiniMax-M3: 40.0 (#95), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 84.4% |
| LMArena Math | 1429 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| ProofBench | 18% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge MiniMax-M3 leads
MiniMax-M3: 58.4 (#35), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 90.9% | 82.3% |
| LMArena Expert | 1461 | 1407 |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
Multimodal Not comparable
MiniMax-M3: 40.2 (#51), Qwen3.5-Flash: —
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1253 | — |
| LMArena Document | 1435 | — |
Multilingual MiniMax-M3 leads
MiniMax-M3: 53.0 (#75), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1420 | 1385 |
| LMArena Chinese | 1463 | 1446 |
| LMArena French | 1447 | 1412 |
| LMArena German | 1426 | 1390 |
| LMArena Japanese | 1381 | 1368 |
| LMArena Korean | 1372 | 1344 |
| LMArena Russian | 1428 | 1379 |
| LMArena Spanish | 1432 | 1400 |
Instruction Following MiniMax-M3 leads
MiniMax-M3: 75.5 (#62), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1433 | 1374 |
Long Context MiniMax-M3 leads
MiniMax-M3: 44.2 (#72), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1445 | 1392 |
Writing & Preference MiniMax-M3 leads
MiniMax-M3: 62.1 (#83), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | MiniMax-M3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1433 | 1397 |
| LMArena Creative Writing | 1404 | 1343 |
| LMArena Multi-Turn | 1442 | 1393 |
| EQ-Bench 4 | 1150 | — |
Frequently asked questions
Is MiniMax-M3 better than Qwen3.5-Flash?
MiniMax-M3 is the stronger model overall, scoring 43.8 to 42.5 on the Noometry Index. Qwen3.5-Flash costs 3.0× less per token, which makes it the better buy when MiniMax-M3's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M3 or Qwen3.5-Flash?
Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; MiniMax-M3 lists at $0.30 and $1.20.
Is MiniMax-M3 or Qwen3.5-Flash better for coding?
MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do MiniMax-M3 and Qwen3.5-Flash share?
27 benchmarks have published results for both models. MiniMax-M3 has 41 scored results on Noometry and Qwen3.5-Flash has 32.