Model comparison
GPT-5.3 Chat vs Llama 2-7B
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
MetaSummary
- They share 15 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Llama 2-7B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.8 | 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 | 29 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Llama 2-7B: 29.2 (#307)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1408 | 1002 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Llama 2-7B: 15.7 (#312)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1009 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Llama 2-7B: 30.7 (#233)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Math | 1389 | 1042 |
| GSM8K | — | 16.7% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Llama 2-7B: 28.2 (#248)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1397 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
GPT-5.3 Chat: —, Llama 2-7B: —
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Llama 2-7B: 23.8 (#293)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1382 | 973 |
| LMArena Chinese | 1432 | 973 |
| LMArena French | 1397 | 970 |
| LMArena German | 1384 | 978 |
| LMArena Russian | 1400 | 995 |
| LMArena Spanish | 1371 | 1007 |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Llama 2-7B: 50.8 (#298)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1006 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Llama 2-7B: 30.4 (#287)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1396 | 999 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Llama 2-7B: 28.0 (#298)
| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Text | 1389 | 1053 |
| LMArena Creative Writing | 1355 | 1033 |
| LMArena Multi-Turn | 1412 | 1029 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Llama 2-7B?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.1 on the Noometry Index.
Is GPT-5.3 Chat or Llama 2-7B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 29.2 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Llama 2-7B share?
15 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 2-7B has 29.