Model comparison
Llama 13b vs o3-mini
o3-mini is the stronger model overall, scoring 36.7 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Llama 13b scores higher in 0 categories and o3-mini in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where o3-mini leads 75.1 to 36.7.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Llama 13b | o3-mini | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 24.4 | 36.7 |
| Released | 2023-02-24 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $1.10 |
| Output $ / M tokens | — | $4.40 |
| Results tracked | 21 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o3-mini leads
Llama 13b: 21.4 (#337), o3-mini: 40.8 (#132)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| LMArena Coding | 683 | 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 13b: —, o3-mini: 29.6 (#84)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning o3-mini leads
Llama 13b: 14.0 (#329), o3-mini: 16.3 (#305)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| LMArena Hard Prompts | 728 | 1366 |
| Epoch Capabilities Index | 100.58 | 140.34 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| ARC-AGI-1 | — | 34.5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| BIG-Bench Hard | 37.9% | — |
| ForecastBench | — | 59.6 |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| LiveBench | — | 75.9% |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math o3-mini leads
Llama 13b: 26.7 (#256), o3-mini: 28.1 (#244)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| LMArena Math | 838 | 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 | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, o3-mini: 38.3 (#146)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| GPQA Diamond | — | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
| LMArena Expert | — | 1364 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, o3-mini: —
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual o3-mini leads
Llama 13b: 16.6 (#297), o3-mini: 45.7 (#164)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| LMArena Non-English | 819 | 1319 |
| LMArena Chinese | — | 1379 |
| LMArena French | — | 1334 |
| LMArena German | — | 1303 |
| LMArena Japanese | — | 1286 |
| LMArena Korean | — | 1314 |
| LMArena Russian | — | 1304 |
| LMArena Spanish | — | 1321 |
Instruction Following o3-mini leads
Llama 13b: 36.7 (#305), o3-mini: 75.1 (#72)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| LMArena Instruction Following | 781 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context Not comparable
Llama 13b: —, o3-mini: 33.8 (#256)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| Fiction.LiveBench | — | 50% |
| LMArena Longer Query | — | 1343 |
Writing & Preference o3-mini leads
Llama 13b: 13.8 (#312), o3-mini: 50.3 (#182)
| Benchmark | Llama 13b | o3-mini |
|---|---|---|
| LMArena Text | 834 | 1337 |
| LMArena Creative Writing | 794 | 1286 |
| LMArena Multi-Turn | 753 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Llama 13b better than o3-mini?
o3-mini is the stronger model overall, scoring 36.7 to 24.4 on the Noometry Index.
Is Llama 13b or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and o3-mini share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and o3-mini has 51.