Model comparison
o1-pro vs Qwen3.5 27B
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5 27B leads 38.0 to 29.7.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $150 / $600 for o1-pro.
- Qwen3.5 27B accepts more context: 262K tokens versus 200K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen3.5 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 41.9 |
| Released | 2025-03-19 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 100K | 66K |
| Input $ / M tokens | $150 | $0.30 |
| Output $ / M tokens | $600 | $2.40 |
| Results tracked | 3 | 28 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen3.5 27B: 38.9 (#168)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | — | 1358 |
| WeirdML | — | 39.5% |
| LMArena Coding | — | 1427 |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
o1-pro: —, Qwen3.5 27B: —
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning Qwen3.5 27B leads
o1-pro: 20.4 (#239), Qwen3.5 27B: 27.5 (#117)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| NYT Connections (extended) | — | 47.9% |
| ARC-AGI-1 | 23.3% | — |
| EnigmaEval | 6.1% | — |
| Thematic Generalization | — | 45.5% |
| LMArena Hard Prompts | — | 1414 |
| DTBench | — | 82.4% |
| LMCA | — | 34% |
Math Not comparable
o1-pro: —, Qwen3.5 27B: 38.8 (#127)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56.7% |
| LMArena Math | — | 1429 |
Knowledge Qwen3.5 27B leads
o1-pro: 29.7 (#234), Qwen3.5 27B: 38.0 (#150)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
o1-pro: —, Qwen3.5 27B: 39.4 (#59)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |
Multilingual Not comparable
o1-pro: —, Qwen3.5 27B: 50.8 (#115)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | — | 1390 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1410 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1390 |
| LMArena Spanish | — | 1407 |
Instruction Following Not comparable
o1-pro: —, Qwen3.5 27B: 73.5 (#119)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | — | 1393 |
Long Context Not comparable
o1-pro: —, Qwen3.5 27B: 43.1 (#106)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Not comparable
o1-pro: —, Qwen3.5 27B: 59.3 (#111)
| Benchmark | o1-pro | Qwen3.5 27B |
|---|---|---|
| LMArena Text | — | 1409 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1410 |
Frequently asked questions
Is o1-pro better than Qwen3.5 27B?
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 31.5 on the Noometry Index.
Which is cheaper, o1-pro or Qwen3.5 27B?
Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Qwen3.5 27B does, with 262K tokens against 200K.
How many benchmarks do o1-pro and Qwen3.5 27B share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3.5 27B has 28.