Model comparison
o1-mini vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 34.0 on the Noometry Index.
Last verified . 20 shared benchmarks.
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. o1-mini scores higher in 0 categories and Qwen3.5 397B-A17B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5 397B-A17B leads 34.5 to 8.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 46.9% for o1-mini and 88.9% for Qwen3.5 397B-A17B.
- Qwen3.5 397B-A17B has downloadable open weights; the other is API-only.
Side by side
| o1-mini | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 34.0 | 46.0 |
| Released | 2024-09-12 | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 39 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5 397B-A17B leads
o1-mini: 35.5 (#224), Qwen3.5 397B-A17B: 42.0 (#114)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Coding | 1362 | 1465 |
| Aider Polyglot | 32.9% | — |
| LMArena WebDev | — | 1400 |
| WeirdML | 36.3% | — |
| LiveBench Coding | 48% | — |
| HumanEval+ | 89% | — |
| MBPP+ | 78.8% | — |
Agentic & Tool Use Qwen3.5 397B-A17B leads
o1-mini: 24.6 (#118), Qwen3.5 397B-A17B: 33.3 (#53)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
| Cybench | 10% | — |
Reasoning Qwen3.5 397B-A17B leads
o1-mini: 8.8 (#346), Qwen3.5 397B-A17B: 34.5 (#70)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1448 |
| Epoch Capabilities Index | 135.82 | 146.65 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 18.1% | — |
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| ARC-AGI-1 | 14% | — |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| LiveBench Reasoning | 72.3% | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LiveBench Data Analysis | 57.9% | — |
| LMCA | — | 37.9% |
| LiveBench | 57.8% | — |
Math Qwen3.5 397B-A17B leads
o1-mini: 35.4 (#186), Qwen3.5 397B-A17B: 46.1 (#73)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 46.9% | 88.9% |
| LMArena Math | 1358 | 1454 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| LiveBench Math | 62% | — |
| MATH Level 5 | 89.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3.5 397B-A17B leads
o1-mini: 34.9 (#192), Qwen3.5 397B-A17B: 53.3 (#58)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | 62.4% | 86.4% |
| LMArena Expert | 1316 | 1462 |
| Confabulations | 18.6% | — |
Multimodal Not comparable
o1-mini: —, Qwen3.5 397B-A17B: 40.7 (#44)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1263 |
Multilingual Qwen3.5 397B-A17B leads
o1-mini: 43.6 (#182), Qwen3.5 397B-A17B: 53.7 (#59)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 1289 | 1430 |
| LMArena Chinese | 1314 | 1500 |
| LMArena French | 1293 | 1461 |
| LMArena German | 1278 | 1447 |
| LMArena Japanese | 1245 | 1426 |
| LMArena Korean | 1223 | 1384 |
| LMArena Russian | 1283 | 1429 |
| LMArena Spanish | 1303 | 1441 |
Instruction Following Qwen3.5 397B-A17B leads
o1-mini: 66.7 (#206), Qwen3.5 397B-A17B: 75.0 (#77)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 1304 | 1424 |
| LiveBench Instruction Following | 65.4% | — |
Long Context Qwen3.5 397B-A17B leads
o1-mini: 40.1 (#161), Qwen3.5 397B-A17B: 44.1 (#74)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | 1320 | 1442 |
Writing & Preference Qwen3.5 397B-A17B leads
o1-mini: 48.4 (#202), Qwen3.5 397B-A17B: 62.3 (#79)
| Benchmark | o1-mini | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 1317 | 1438 |
| LMArena Creative Writing | 1244 | 1401 |
| LMArena Multi-Turn | 1314 | 1446 |
| Short-Story Creative Writing | 64.9% | — |
| EQ-Bench Creative Writing | — | 1478 |
| LiveBench Language | 40.9% | — |
Frequently asked questions
Is o1-mini better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 34.0 on the Noometry Index.
Is o1-mini or Qwen3.5 397B-A17B better for coding?
Qwen3.5 397B-A17B scores higher on coding benchmarks: 42.0 versus 35.5 in the Noometry coding category.
How many benchmarks do o1-mini and Qwen3.5 397B-A17B share?
20 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Qwen3.5 397B-A17B has 36.