Model comparison
o3 vs Wizardlm 70b
o3 is the stronger model overall, scoring 47.5 to 33.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
MicrosoftSummary
- They share 12 benchmarks with published results for both. o3 scores higher in 7 categories and Wizardlm 70b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3 leads 63.5 to 34.8.
- Wizardlm 70b has downloadable open weights; the other is API-only.
Side by side
| o3 | Wizardlm 70b | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 47.5 | 33.0 |
| Released | 2025-04-16 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 63 | 12 |
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Category by category
Coding o3 leads
o3: 46.8 (#64), Wizardlm 70b: 31.4 (#285)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1408 | 1081 |
| 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), Wizardlm 70b: —
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| 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), Wizardlm 70b: 20.7 (#234)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1402 | 1079 |
| 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), Wizardlm 70b: 32.2 (#218)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1426 | 1116 |
| 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), Wizardlm 70b: —
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| 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), Wizardlm 70b: —
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual o3 leads
o3: 51.7 (#105), Wizardlm 70b: 29.6 (#265)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1401 | 1078 |
| LMArena Chinese | 1437 | 1052 |
| LMArena German | 1420 | 1083 |
| LMArena Russian | 1406 | 1155 |
| LMArena French | 1430 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1370 | — |
| LMArena Spanish | 1395 | — |
Instruction Following o3 leads
o3: 72.8 (#127), Wizardlm 70b: 56.3 (#273)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1368 | 1093 |
| IFEval | 86.9% | — |
Long Context o3 leads
o3: 53.3 (#6), Wizardlm 70b: 33.3 (#263)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1372 | 1097 |
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
Writing & Preference o3 leads
o3: 63.5 (#64), Wizardlm 70b: 34.8 (#269)
| Benchmark | o3 | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1410 | 1120 |
| LMArena Creative Writing | 1359 | 1149 |
| LMArena Multi-Turn | 1405 | 1108 |
| Short-Story Creative Writing | 83.9% | — |
| EQ-Bench Creative Writing | 1676 | — |
| WildBench | 86.1% | — |
Frequently asked questions
Is o3 better than Wizardlm 70b?
o3 is the stronger model overall, scoring 47.5 to 33.0 on the Noometry Index.
Is o3 or Wizardlm 70b better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 31.4 in the Noometry coding category.
How many benchmarks do o3 and Wizardlm 70b share?
12 benchmarks have published results for both models. o3 has 63 scored results on Noometry and Wizardlm 70b has 12.