Model comparison
MiniMax-M2.5 vs Qwen3.5-9B
MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 33.3 on the Noometry Index. Qwen3.5-9B costs 4.7× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. MiniMax-M2.5 scores higher in 2 categories and Qwen3.5-9B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where MiniMax-M2.5 leads 30.2 to 14.4.
- The biggest single-benchmark swing is Terminal-Bench: 42.7% for MiniMax-M2.5 and 9.2% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
- Qwen3.5-9B accepts more context: 262K tokens versus 205K.
Side by side
| MiniMax-M2.5 | Qwen3.5-9B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 38.1 | 33.3 |
| Released | 2026-02-12 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.30 | $0.10 |
| Output $ / M tokens | $1.20 | $0.15 |
| Results tracked | 33 | 10 |
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Category by category
Coding MiniMax-M2.5 leads
MiniMax-M2.5: 47.9 (#53), Qwen3.5-9B: 35.3 (#213)
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| SWE-bench Verified (bash only) | 75.8% | — |
| LMArena WebDev | 1386 | — |
| SWE-bench Multilingual | 68.3% | — |
| SciCode | — | 27.5% |
| LMArena Coding | 1380 | — |
| ALE-Bench | 618.17 | — |
Agentic & Tool Use MiniMax-M2.5 leads
MiniMax-M2.5: 30.2 (#70), Qwen3.5-9B: 14.4 (#143)
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | 42.7% | 9.2% |
| Vending-Bench 2 | -23.16 | — |
Reasoning Qwen3.5-9B leads
MiniMax-M2.5: 17.6 (#281), Qwen3.5-9B: 22.5 (#178)
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 146.68 | 139.45 |
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 55.2% | — |
| NYT Connections (extended) | 16.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1372 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
Math Qwen3.5-9B leads
MiniMax-M2.5: 25.8 (#242), Qwen3.5-9B: 33.5 (#174)
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| ProofBench | 4% | — |
| LMArena Math | 1378 | — |
Knowledge Qwen3.5-9B leads
MiniMax-M2.5: 38.6 (#132), Qwen3.5-9B: 46.0 (#77)
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| Vectara Hallucination Rate | 9.1% | — |
| LMArena Expert | 1378 | — |
Multilingual Not comparable
MiniMax-M2.5: 47.3 (#147), Qwen3.5-9B: —
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1338 | — |
| LMArena Chinese | 1392 | — |
| LMArena French | 1363 | — |
| LMArena German | 1361 | — |
| LMArena Japanese | 1169 | — |
| LMArena Korean | 1232 | — |
| LMArena Russian | 1359 | — |
| LMArena Spanish | 1354 | — |
Instruction Following Not comparable
MiniMax-M2.5: 71.7 (#143), Qwen3.5-9B: —
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1353 | — |
Long Context Not comparable
MiniMax-M2.5: 37.4 (#211), Qwen3.5-9B: —
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| CL-bench | 11.4% | — |
| CL-bench Life | 6.3% | — |
| LMArena Longer Query | 1367 | — |
Writing & Preference Not comparable
MiniMax-M2.5: 54.1 (#149), Qwen3.5-9B: —
| Benchmark | MiniMax-M2.5 | Qwen3.5-9B |
|---|---|---|
| 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 Qwen3.5-9B?
MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 33.3 on the Noometry Index. Qwen3.5-9B costs 4.7× 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 Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.
Is MiniMax-M2.5 or Qwen3.5-9B better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 47.9 versus 35.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 205K.
How many benchmarks do MiniMax-M2.5 and Qwen3.5-9B share?
2 benchmarks have published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Qwen3.5-9B has 10.