Model comparison
GPT-5 Pro vs Llama 2-7B
GPT-5 Pro is the stronger model overall, scoring 46.4 to 29.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Llama 2-7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 28.2.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Llama 2-7B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 46.4 | 29.1 |
| Released | 2025-10-06 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 272K | — |
| Input $ / M tokens | $15 | — |
| Output $ / M tokens | $120 | — |
| Results tracked | 12 | 29 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Llama 2-7B: 29.2 (#307)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1002 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Llama 2-7B: 15.7 (#312)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 99.06 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1009 |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Llama 2-7B: 30.7 (#233)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 1042 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 16.7% |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Llama 2-7B: 28.2 (#248)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
GPT-5 Pro: —, Llama 2-7B: —
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Not comparable
GPT-5 Pro: —, Llama 2-7B: 23.8 (#293)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 973 |
| LMArena French | — | 970 |
| LMArena German | — | 978 |
| LMArena Russian | — | 995 |
| LMArena Spanish | — | 1007 |
Instruction Following Not comparable
GPT-5 Pro: —, Llama 2-7B: 50.8 (#298)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | — | 1006 |
Long Context Not comparable
GPT-5 Pro: —, Llama 2-7B: 30.4 (#287)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | — | 999 |
Writing & Preference Not comparable
GPT-5 Pro: —, Llama 2-7B: 28.0 (#298)
| Benchmark | GPT-5 Pro | Llama 2-7B |
|---|---|---|
| LMArena Text | — | 1053 |
| LMArena Creative Writing | — | 1033 |
| LMArena Multi-Turn | — | 1029 |
Frequently asked questions
Is GPT-5 Pro better than Llama 2-7B?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 29.1 on the Noometry Index.
Is GPT-5 Pro or Llama 2-7B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 29.2 in the Noometry coding category.
How many benchmarks do GPT-5 Pro and Llama 2-7B share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Llama 2-7B has 29.