Model comparison
Llama 2-7B vs o3-mini
o3-mini is the stronger model overall, scoring 36.7 to 28.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and o3-mini in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where o3-mini leads 75.3 to 51.0.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 17% for o3-mini.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | o3-mini | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 28.6 | 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 | 29 | 51 |
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Category by category
Coding o3-mini leads
Llama 2-7B: 28.7 (#302), o3-mini: 41.4 (#116)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Coding | 1002 | 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 2-7B: —, o3-mini: 29.3 (#79)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning o3-mini leads
Llama 2-7B: 15.1 (#309), o3-mini: 16.3 (#295)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| Chess Puzzles | 0% | 17% |
| LMArena Hard Prompts | 1009 | 1366 |
| Epoch Capabilities Index | 98.54 | 140.35 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| ARC-AGI-1 | — | 34.5% |
| CritPt | — | 0.3% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| BIG-Bench Hard | 39.2% | — |
| ForecastBench | — | 59.6 |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| LiveBench | — | 75.9% |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Too close to call
Llama 2-7B: 28.2 (#231), o3-mini: 27.6 (#236)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Math | 1042 | 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 | 16.7% | — |
Knowledge o3-mini leads
Llama 2-7B: 27.7 (#243), o3-mini: 38.3 (#135)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Expert | 1036 | 1364 |
| GPQA Diamond | — | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, o3-mini: —
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual o3-mini leads
Llama 2-7B: 23.9 (#288), o3-mini: 45.9 (#159)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Non-English | 973 | 1319 |
| LMArena Chinese | 973 | 1379 |
| LMArena French | 969 | 1333 |
| LMArena German | 978 | 1303 |
| LMArena Russian | 995 | 1304 |
| LMArena Spanish | 1007 | 1321 |
| LMArena Japanese | — | 1286 |
| LMArena Korean | — | 1314 |
Instruction Following o3-mini leads
Llama 2-7B: 51.0 (#293), o3-mini: 75.3 (#67)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1006 | 1338 |
| LiveBench Instruction Following | — | 84.4% |
Long Context o3-mini leads
Llama 2-7B: 30.4 (#282), o3-mini: 33.8 (#251)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Longer Query | 999 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference o3-mini leads
Llama 2-7B: 28.1 (#293), o3-mini: 50.4 (#177)
| Benchmark | Llama 2-7B | o3-mini |
|---|---|---|
| LMArena Text | 1053 | 1337 |
| LMArena Creative Writing | 1033 | 1286 |
| LMArena Multi-Turn | 1029 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Llama 2-7B better than o3-mini?
o3-mini is the stronger model overall, scoring 36.7 to 28.6 on the Noometry Index.
Is Llama 2-7B or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 41.4 versus 28.7 in the Noometry coding category.
How many benchmarks do Llama 2-7B and o3-mini share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and o3-mini has 51.