Model comparison
MiniMax-M2.5 vs Qwen Turbo
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 27.1 on the Noometry Index. Qwen Turbo costs 6.0× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MiniMax
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where MiniMax-M2.5 leads 39.2 to 22.2.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
- Qwen Turbo accepts more context: 1M tokens versus 205K.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M2.5 | Qwen Turbo | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 38.3 | 27.1 |
| Released | 2026-02-12 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 205K | 1M |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.30 | $0.05 |
| Output $ / M tokens | $1.20 | $0.20 |
| Results tracked | 33 | 3 |
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Category by category
Coding Not comparable
MiniMax-M2.5: 48.1 (#58), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| SWE-bench Verified (bash only) | 75.8% | — |
| LMArena WebDev | 1387 | — |
| SWE-bench Multilingual | 68.3% | — |
| LMArena Coding | 1381 | — |
| ALE-Bench | 618.17 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.5: 30.4 (#77), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| Terminal-Bench | 42.7% | — |
| Vending-Bench 2 | -23.16 | — |
Reasoning Not comparable
MiniMax-M2.5: 17.5 (#292), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 55.2% | — |
| NYT Connections (extended) | 16.8% | — |
| ARC-AGI-1 | 63.7% | — |
| LMArena Hard Prompts | 1372 | — |
| Epoch Capabilities Index | 146.68 | — |
Math MiniMax-M2.5 leads
MiniMax-M2.5: 26.9 (#253), Qwen Turbo: 15.3 (#297)
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 6.1% |
| ProofBench | 4% | — |
| LMArena Math | 1378 | — |
| MATH Level 5 | — | 56.2% |
Knowledge MiniMax-M2.5 leads
MiniMax-M2.5: 39.2 (#135), Qwen Turbo: 22.2 (#272)
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| GPQA Diamond | — | 41.8% |
| Vectara Hallucination Rate | 9.1% | — |
| LMArena Expert | 1379 | — |
Multilingual Not comparable
MiniMax-M2.5: 47.1 (#152), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1338 | — |
| LMArena Chinese | 1393 | — |
| LMArena French | 1362 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1171 | — |
| LMArena Korean | 1232 | — |
| LMArena Russian | 1358 | — |
| LMArena Spanish | 1354 | — |
Instruction Following Not comparable
MiniMax-M2.5: 71.5 (#148), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| LMArena Instruction Following | 1353 | — |
Long Context Not comparable
MiniMax-M2.5: 37.5 (#216), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| CL-bench | 11.4% | — |
| CL-bench Life | 6.3% | — |
| LMArena Longer Query | 1366 | — |
Writing & Preference Not comparable
MiniMax-M2.5: 53.9 (#153), Qwen Turbo: —
| Benchmark | MiniMax-M2.5 | Qwen Turbo |
|---|---|---|
| LMArena Text | 1359 | — |
| LMArena Creative Writing | 1331 | — |
| EQ-Bench Creative Writing | 1361 | — |
| LMArena Multi-Turn | 1364 | — |
Frequently asked questions
Is MiniMax-M2.5 better than Qwen Turbo?
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 27.1 on the Noometry Index. Qwen Turbo costs 6.0× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2.5 or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 205K.
How many benchmarks do MiniMax-M2.5 and Qwen Turbo share?
0 benchmarks have published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Qwen Turbo has 3.