Model comparison
GPT-5 Pro vs Llama 13b
GPT-5 Pro is the stronger model overall, scoring 46.4 to 24.4 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 3 categories and Llama 13b in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 14.0.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 46.4 | 24.4 |
| Released | 2025-10-06 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 272K | — |
| Input $ / M tokens | $15 | — |
| Output $ / M tokens | $120 | — |
| Results tracked | 12 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Llama 13b: 21.4 (#337)
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| WeirdML | 60.4% | — |
| LMArena Coding | — | 683 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Llama 13b: 14.0 (#329)
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 100.58 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 728 |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Llama 13b: 26.7 (#256)
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 838 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GPT-5 Pro: 56.7 (#42), Llama 13b: —
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GPT-5 Pro: —, Llama 13b: —
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Not comparable
GPT-5 Pro: —, Llama 13b: 16.6 (#297)
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| LMArena Non-English | — | 819 |
Instruction Following Not comparable
GPT-5 Pro: —, Llama 13b: 36.7 (#305)
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| LMArena Instruction Following | — | 781 |
Writing & Preference Not comparable
GPT-5 Pro: —, Llama 13b: 13.8 (#312)
| Benchmark | GPT-5 Pro | Llama 13b |
|---|---|---|
| LMArena Text | — | 834 |
| LMArena Creative Writing | — | 794 |
| LMArena Multi-Turn | — | 753 |
Frequently asked questions
Is GPT-5 Pro better than Llama 13b?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 24.4 on the Noometry Index.
Is GPT-5 Pro or Llama 13b better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 21.4 in the Noometry coding category.
How many benchmarks do GPT-5 Pro and Llama 13b share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Llama 13b has 21.