Model comparison
GPT-5.3 Chat vs Llama 2-13B
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 30.0.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Llama 2-13B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.1 | 29.1 |
| Released | 2026-03-03 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 32 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 40.8 (#124), Llama 2-13B: 30.4 (#287)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1408 | 1062 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 27.3 (#105), Llama 2-13B: 12.3 (#333)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1051 |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| Epoch Capabilities Index | — | 105.8 |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 35.4 (#146), Llama 2-13B: 28.7 (#226)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Math | 1389 | 1065 |
| GSM8K | — | 36.9% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#137), Llama 2-13B: 27.5 (#244)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1397 | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
GPT-5.3 Chat: —, Llama 2-13B: —
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.5 (#119), Llama 2-13B: 26.7 (#274)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1383 | 1024 |
| LMArena Chinese | 1433 | 1001 |
| LMArena French | 1398 | 1043 |
| LMArena German | 1384 | 1009 |
| LMArena Japanese | 1351 | 894 |
| LMArena Korean | 1347 | 953 |
| LMArena Russian | 1400 | 1055 |
| LMArena Spanish | 1371 | 1086 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 73.0 (#124), Llama 2-13B: 53.5 (#282)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1046 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#115), Llama 2-13B: 32.3 (#264)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1396 | 1064 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.3 (#65), Llama 2-13B: 30.0 (#284)
| Benchmark | GPT-5.3 Chat | Llama 2-13B |
|---|---|---|
| LMArena Text | 1389 | 1085 |
| LMArena Creative Writing | 1356 | 1047 |
| LMArena Multi-Turn | 1413 | 1050 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Llama 2-13B?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.1 on the Noometry Index.
Is GPT-5.3 Chat or Llama 2-13B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 30.4 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Llama 2-13B share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 2-13B has 32.