Model comparison
Llama 3.2 90B vs o1
o1 is the stronger model overall, scoring 40.9 to 27.5 on the Noometry Index.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both. Llama 3.2 90B scores higher in 1 category and o1 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where o1 leads 36.1 to 11.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.6% for Llama 3.2 90B and 73.3% for o1.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.2 90B | o1 | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 27.5 | 40.9 |
| Released | 2024-09-24 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $15 |
| Output $ / M tokens | — | $60 |
| Results tracked | 9 | 52 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, o1: 46.1 (#70)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| LMArena Coding | — | 1367 |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Llama 3.2 90B leads
Llama 3.2 90B: 30.0 (#80), o1: 24.6 (#117)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| Cybench | — | 10% |
| BALROG | 27.3% | — |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Llama 3.2 90B: 21.7 (#217), o1: 27.9 (#111)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| EnigmaEval | 0.4% | 5.7% |
| Epoch Capabilities Index | 125.5 | 141.91 |
| SimpleBench | — | 41.7% |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| LiveBench Reasoning | — | 91.6% |
| LMArena Hard Prompts | — | 1371 |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| LiveBench | — | 75.7% |
Math o1 leads
Llama 3.2 90B: 11.1 (#308), o1: 36.1 (#175)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | 73.3% |
| MATH Level 5 | 39.4% | 94.7% |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| LiveBench Math | — | 80.3% |
| LMArena Math | — | 1388 |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge o1 leads
Llama 3.2 90B: 21.7 (#274), o1: 41.5 (#110)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| GPQA Diamond | 41% | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| LMArena Expert | — | 1361 |
| MMLU | 80.3% | — |
Multimodal o1 leads
Llama 3.2 90B: 25.4 (#124), o1: 34.2 (#93)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| LMArena Vision | 1000 | 1168 |
| GeoBench | 52% | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual Not comparable
Llama 3.2 90B: —, o1: 48.6 (#142)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| LMArena Non-English | — | 1358 |
| LMArena Chinese | — | 1394 |
| LMArena French | — | 1344 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |
| LMArena Russian | — | 1356 |
| LMArena Spanish | — | 1345 |
Instruction Following Not comparable
Llama 3.2 90B: —, o1: 74.8 (#86)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| LiveBench Instruction Following | — | 81.5% |
| LMArena Instruction Following | — | 1367 |
Long Context Not comparable
Llama 3.2 90B: —, o1: 50.3 (#9)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1378 |
Writing & Preference Not comparable
Llama 3.2 90B: —, o1: 55.6 (#144)
| Benchmark | Llama 3.2 90B | o1 |
|---|---|---|
| LMArena Text | — | 1366 |
| LMArena Creative Writing | — | 1348 |
| Short-Story Creative Writing | — | 70.2% |
| LMArena Multi-Turn | — | 1369 |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Llama 3.2 90B better than o1?
o1 is the stronger model overall, scoring 40.9 to 27.5 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and o1 share?
7 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and o1 has 52.