Model comparison
GPT-5.4 Pro vs Llama 2-13B
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 29.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
MetaSummary
- They share 2 benchmarks with published results for both. GPT-5.4 Pro scores higher in 4 categories and Llama 2-13B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 Pro leads 70.7 to 12.8.
- The biggest single-benchmark swing is Chess Puzzles: 58.6% for GPT-5.4 Pro and 0% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 Pro | Llama 2-13B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 58.9 | 29.6 |
| Released | 2026-03-05 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 16 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.4 Pro leads
GPT-5.4 Pro: 43.2 (#90), Llama 2-13B: 30.9 (#291)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| WeirdML | 57.4% | — |
| LMArena Coding | — | 1062 |
Reasoning GPT-5.4 Pro leads
GPT-5.4 Pro: 70.7 (#13), Llama 2-13B: 12.8 (#337)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 58.6% | 0% |
| Epoch Capabilities Index | 158.93 | 106.17 |
| ARC-AGI-2 | 83.3% | — |
| SimpleBench | 74.1% | — |
| ARC-AGI-1 | 94.5% | — |
| CritPt | 30% | — |
| EnigmaEval | 23.8% | — |
| LMArena Hard Prompts | — | 1051 |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math GPT-5.4 Pro leads
GPT-5.4 Pro: 72.4 (#22), Llama 2-13B: 31.1 (#229)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 82.5% | — |
| FrontierMath Tier 4 | 58.5% | — |
| LMArena Math | — | 1065 |
| FrontierMath (Feb 2025 set) | 50% | — |
| FrontierMath Tier 4 (v1) | 37.5% | — |
| GSM8K | — | 36.9% |
Knowledge GPT-5.4 Pro leads
GPT-5.4 Pro: 68.3 (#7), Llama 2-13B: 28.1 (#249)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| GPQA Diamond | 94.6% | — |
| Humanity's Last Exam | 44.3% | — |
| SimpleQA Verified | 46.3% | — |
| Vectara Hallucination Rate | 8.3% | — |
| LMArena Expert | — | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
GPT-5.4 Pro: —, Llama 2-13B: —
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |
Multilingual Not comparable
GPT-5.4 Pro: —, Llama 2-13B: 26.5 (#279)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| LMArena Non-English | — | 1024 |
| LMArena Chinese | — | 1001 |
| LMArena French | — | 1044 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
| LMArena Russian | — | 1055 |
| LMArena Spanish | — | 1087 |
Instruction Following Not comparable
GPT-5.4 Pro: —, Llama 2-13B: 53.3 (#287)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | — | 1045 |
Long Context Not comparable
GPT-5.4 Pro: —, Llama 2-13B: 32.3 (#269)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | — | 1064 |
Writing & Preference Not comparable
GPT-5.4 Pro: —, Llama 2-13B: 29.8 (#289)
| Benchmark | GPT-5.4 Pro | Llama 2-13B |
|---|---|---|
| LMArena Text | — | 1084 |
| LMArena Creative Writing | — | 1047 |
| LMArena Multi-Turn | — | 1050 |
Frequently asked questions
Is GPT-5.4 Pro better than Llama 2-13B?
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 29.6 on the Noometry Index.
Is GPT-5.4 Pro or Llama 2-13B better for coding?
GPT-5.4 Pro scores higher on coding benchmarks: 43.2 versus 30.9 in the Noometry coding category.
How many benchmarks do GPT-5.4 Pro and Llama 2-13B share?
2 benchmarks have published results for both models. GPT-5.4 Pro has 16 scored results on Noometry and Llama 2-13B has 32.