Model comparison
o3 vs Olmo 7b Instruct
o3 is the stronger model overall, scoring 47.5 to 30.3 on the Noometry Index.
Last verified . 10 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 10 benchmarks with published results for both. o3 scores higher in 6 categories and Olmo 7b Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3 leads 63.5 to 25.8.
- Olmo 7b Instruct has downloadable open weights; the other is API-only.
Side by side
| o3 | Olmo 7b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 47.5 | 30.3 |
| Released | 2025-04-16 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 63 | 10 |
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Category by category
Coding o3 leads
o3: 46.8 (#64), Olmo 7b Instruct: 29.6 (#303)
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1408 | 1016 |
| SWE-bench Verified | 62.3% | — |
| SWE-bench Verified (bash only) | 58.4% | — |
| Aider Polyglot | 81.3% | — |
| GSO | 8.8% | — |
| WeirdML | 52.4% | — |
| CadEval | 74% | — |
| ALE-Bench | 933.55 | — |
Agentic & Tool Use Not comparable
o3: 34.5 (#44), Olmo 7b Instruct: —
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 30.8% | — |
| DeepResearch Bench | 45.2% | — |
| OSWorld | 23% | — |
| LMArena Search | 1144 | — |
| METR Time Horizons | 65.4% | — |
Reasoning o3 leads
o3: 32.0 (#78), Olmo 7b Instruct: 18.8 (#274)
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1402 | 993 |
| 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% | — |
| 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), Olmo 7b Instruct: 30.2 (#237)
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1426 | 1018 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| Omni-MATH | 71.4% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 18.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Not comparable
o3: 54.6 (#52), Olmo 7b Instruct: —
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| GPQA Diamond | 81.8% | — |
| 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), Olmo 7b Instruct: —
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual o3 leads
o3: 51.7 (#105), Olmo 7b Instruct: 24.0 (#291)
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1401 | 977 |
| LMArena Chinese | 1437 | 1014 |
| LMArena Russian | 1406 | 947 |
| LMArena French | 1430 | — |
| LMArena German | 1420 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1370 | — |
| LMArena Spanish | 1395 | — |
Instruction Following o3 leads
o3: 72.8 (#127), Olmo 7b Instruct: 49.0 (#301)
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1368 | 978 |
| IFEval | 86.9% | — |
Long Context Not comparable
o3: 53.3 (#6), Olmo 7b Instruct: —
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
| LMArena Longer Query | 1372 | — |
Writing & Preference o3 leads
o3: 63.5 (#64), Olmo 7b Instruct: 25.8 (#303)
| Benchmark | o3 | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1410 | 1032 |
| LMArena Creative Writing | 1359 | 990 |
| LMArena Multi-Turn | 1405 | 1007 |
| Short-Story Creative Writing | 83.9% | — |
| EQ-Bench Creative Writing | 1676 | — |
| WildBench | 86.1% | — |
Frequently asked questions
Is o3 better than Olmo 7b Instruct?
o3 is the stronger model overall, scoring 47.5 to 30.3 on the Noometry Index.
Is o3 or Olmo 7b Instruct better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 29.6 in the Noometry coding category.
How many benchmarks do o3 and Olmo 7b Instruct share?
10 benchmarks have published results for both models. o3 has 63 scored results on Noometry and Olmo 7b Instruct has 10.