Model comparison
o3 vs Qwen Turbo
o3 is the stronger model overall, scoring 47.5 to 27.1 on the Noometry Index. Qwen Turbo costs 40× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. o3 scores higher in 2 categories and Qwen Turbo in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where o3 leads 50.2 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.4% for o3 and 6.1% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $2 / $8 for o3.
- Qwen Turbo accepts more context: 1M tokens versus 200K.
Side by side
| o3 | Qwen Turbo | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 47.5 | 27.1 |
| Released | 2025-04-16 | 2024-11-01 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1M |
| Max output | 100K | 16K |
| Input $ / M tokens | $2 | $0.05 |
| Output $ / M tokens | $8 | $0.20 |
| Results tracked | 63 | 3 |
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Category by category
Coding Not comparable
o3: 46.8 (#64), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| SWE-bench Verified | 62.3% | — |
| SWE-bench Verified (bash only) | 58.4% | — |
| Aider Polyglot | 81.3% | — |
| GSO | 8.8% | — |
| WeirdML | 52.4% | — |
| LMArena Coding | 1408 | — |
| CadEval | 74% | — |
| ALE-Bench | 933.55 | — |
Agentic & Tool Use Not comparable
o3: 34.5 (#44), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 30.8% | — |
| DeepResearch Bench | 45.2% | — |
| OSWorld | 23% | — |
| LMArena Search | 1144 | — |
| METR Time Horizons | 65.4% | — |
Reasoning Not comparable
o3: 32.0 (#78), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| ARC-AGI-2 | 6.5% | — |
| SimpleBench | 53.1% | — |
| Kagi LLM Benchmark | 67.6% | — |
| ARC-AGI-1 | 60.8% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 38% | — |
| EnigmaEval | 13.1% | — |
| LMArena Hard Prompts | 1402 | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 84.8% | — |
| LMCA | 39.7% | — |
| Epoch Capabilities Index | 146.86 | — |
| ForecastBench | 62.5 | — |
Math o3 leads
o3: 50.2 (#58), Qwen Turbo: 15.3 (#297)
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.4% | 6.1% |
| MATH Level 5 | 97.8% | 56.2% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| Omni-MATH | 71.4% | — |
| LMArena Math | 1426 | — |
| FrontierMath (Feb 2025 set) | 18.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge o3 leads
o3: 54.6 (#52), Qwen Turbo: 22.2 (#272)
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 81.8% | 41.8% |
| Humanity's Last Exam | 20.3% | — |
| SimpleQA Verified | 49.4% | — |
| MMLU-Pro | 85.9% | — |
| Confabulations | 14.4% | — |
| GPQA (HELM) | 75.3% | — |
| LMArena Expert | 1402 | — |
Multimodal Not comparable
o3: 41.4 (#36), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual Not comparable
o3: 51.7 (#105), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1401 | — |
| LMArena Chinese | 1437 | — |
| LMArena French | 1430 | — |
| LMArena German | 1420 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1370 | — |
| LMArena Russian | 1406 | — |
| LMArena Spanish | 1395 | — |
Instruction Following Not comparable
o3: 72.8 (#127), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| IFEval | 86.9% | — |
| LMArena Instruction Following | 1368 | — |
Long Context Not comparable
o3: 53.3 (#6), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
| LMArena Longer Query | 1372 | — |
Writing & Preference Not comparable
o3: 63.5 (#64), Qwen Turbo: —
| Benchmark | o3 | Qwen Turbo |
|---|---|---|
| LMArena Text | 1410 | — |
| LMArena Creative Writing | 1359 | — |
| Short-Story Creative Writing | 83.9% | — |
| EQ-Bench Creative Writing | 1676 | — |
| WildBench | 86.1% | — |
| LMArena Multi-Turn | 1405 | — |
Frequently asked questions
Is o3 better than Qwen Turbo?
o3 is the stronger model overall, scoring 47.5 to 27.1 on the Noometry Index. Qwen Turbo costs 40× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Which is cheaper, o3 or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; o3 lists at $2 and $8.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 200K.
How many benchmarks do o3 and Qwen Turbo share?
3 benchmarks have published results for both models. o3 has 63 scored results on Noometry and Qwen Turbo has 3.