Model comparison
GPT-5.3 Chat vs Llama 13b
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
MetaSummary
- They share 8 benchmarks with published results for both. GPT-5.3 Chat scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.8 | 24.4 |
| Released | 2026-03-03 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 21 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Llama 13b: 21.4 (#337)
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Coding | 1408 | 683 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Llama 13b: 14.0 (#329)
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1399 | 728 |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Llama 13b: 26.7 (#256)
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Math | 1389 | 838 |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GPT-5.3 Chat: 38.8 (#140), Llama 13b: —
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Expert | 1397 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GPT-5.3 Chat: —, Llama 13b: —
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Llama 13b: 16.6 (#297)
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Non-English | 1382 | 819 |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Llama 13b: 36.7 (#305)
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1378 | 781 |
Long Context Not comparable
GPT-5.3 Chat: 42.6 (#120), Llama 13b: —
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1396 | — |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Llama 13b: 13.8 (#312)
| Benchmark | GPT-5.3 Chat | Llama 13b |
|---|---|---|
| LMArena Text | 1389 | 834 |
| LMArena Creative Writing | 1355 | 794 |
| LMArena Multi-Turn | 1412 | 753 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Llama 13b?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 24.4 on the Noometry Index.
Is GPT-5.3 Chat or Llama 13b better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 21.4 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Llama 13b share?
8 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 13b has 21.