Model comparison
o3-pro vs Tulu 3 (Tülu 3) 70B
o3-pro is the stronger model overall, scoring 42.9 to 33.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in long context, where o3-pro leads 72.2 to 37.1.
- Tulu 3 (Tülu 3) 70B has downloadable open weights; the other is API-only.
Side by side
| o3-pro | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 42.9 | 33.0 |
| Released | 2025-06-10 | 2024-11-21 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $20 | — |
| Output $ / M tokens | $80 | — |
| Results tracked | 12 | 14 |
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Category by category
Coding o3-pro leads
o3-pro: 55.5 (#24), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1235 |
Reasoning Too close to call
o3-pro: 23.8 (#171), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 72.1% | — |
| ARC-AGI-1 | 59.3% | — |
| LMArena Hard Prompts | — | 1220 |
| DTBench | 86.9% | — |
| LMCA | 38.5% | — |
| Epoch Capabilities Index | 147.42 | — |
Math Not comparable
o3-pro: —, Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| LMArena Math | — | 1242 |
| MATH Level 5 | — | 42.7% |
Knowledge o3-pro leads
o3-pro: 29.5 (#238), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 23.3% | — |
Multilingual Not comparable
o3-pro: —, Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | — | 1236 |
| LMArena Chinese | — | 1249 |
| LMArena Russian | — | 1246 |
Instruction Following Not comparable
o3-pro: —, Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | — | 1233 |
Long Context o3-pro leads
o3-pro: 72.2 (#1), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Fiction.LiveBench | 97.2% | — |
| LMArena Longer Query | — | 1224 |
Writing & Preference o3-pro leads
o3-pro: 57.1 (#133), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | o3-pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | — | 1256 |
| LMArena Creative Writing | — | 1231 |
| Short-Story Creative Writing | 84.4% | — |
| LMArena Multi-Turn | — | 1252 |
Frequently asked questions
Is o3-pro better than Tulu 3 (Tülu 3) 70B?
o3-pro is the stronger model overall, scoring 42.9 to 33.0 on the Noometry Index.
Is o3-pro or Tulu 3 (Tülu 3) 70B better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 36.0 in the Noometry coding category.
How many benchmarks do o3-pro and Tulu 3 (Tülu 3) 70B share?
0 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.