Model comparison
Llama 2-13B vs o3-mini
o3-mini is the stronger model overall, scoring 36.7 to 29.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Llama 2-13B scores higher in 1 category and o3-mini in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where o3-mini leads 75.1 to 53.3.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 68.8% for o3-mini.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | o3-mini | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 29.6 | 36.7 |
| Released | 2023-07-18 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $1.10 |
| Output $ / M tokens | — | $4.40 |
| Results tracked | 32 | 51 |
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Category by category
Coding o3-mini leads
Llama 2-13B: 30.9 (#291), o3-mini: 40.8 (#132)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Coding | 1062 | 1378 |
| Aider Polyglot | — | 60.4% |
| SciCode | — | 39.8% |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
Agentic & Tool Use Not comparable
Llama 2-13B: —, o3-mini: 29.6 (#84)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning o3-mini leads
Llama 2-13B: 12.8 (#337), o3-mini: 16.3 (#305)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| Chess Puzzles | 0% | 17% |
| LMArena Hard Prompts | 1051 | 1366 |
| DTBench | 42.2% | 68.8% |
| Epoch Capabilities Index | 106.17 | 140.34 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| ARC-AGI-1 | — | 34.5% |
| CritPt | — | 0.3% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 59.6 |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| LiveBench | — | 75.9% |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), o3-mini: 28.1 (#244)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Math | 1065 | 1396 |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 76.9% |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
| GSM8K | 36.9% | — |
Knowledge o3-mini leads
Llama 2-13B: 28.1 (#249), o3-mini: 38.3 (#146)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Expert | 1030 | 1364 |
| GPQA Diamond | — | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, o3-mini: —
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual o3-mini leads
Llama 2-13B: 26.5 (#279), o3-mini: 45.7 (#164)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Non-English | 1024 | 1319 |
| LMArena Chinese | 1001 | 1379 |
| LMArena French | 1044 | 1334 |
| LMArena German | 1009 | 1303 |
| LMArena Japanese | 894 | 1286 |
| LMArena Korean | 953 | 1314 |
| LMArena Russian | 1055 | 1304 |
| LMArena Spanish | 1087 | 1321 |
Instruction Following o3-mini leads
Llama 2-13B: 53.3 (#287), o3-mini: 75.1 (#72)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1045 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context o3-mini leads
Llama 2-13B: 32.3 (#269), o3-mini: 33.8 (#256)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Longer Query | 1064 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference o3-mini leads
Llama 2-13B: 29.8 (#289), o3-mini: 50.3 (#182)
| Benchmark | Llama 2-13B | o3-mini |
|---|---|---|
| LMArena Text | 1084 | 1337 |
| LMArena Creative Writing | 1047 | 1286 |
| LMArena Multi-Turn | 1050 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Llama 2-13B better than o3-mini?
o3-mini is the stronger model overall, scoring 36.7 to 29.6 on the Noometry Index.
Is Llama 2-13B or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and o3-mini share?
20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and o3-mini has 51.