Model comparison
GPT-5.3 Chat vs Llama 2-70B
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 24.4 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 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.3 Chat leads 38.8 to 7.4.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Llama 2-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.8 | 24.4 |
| 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 | 35 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Llama 2-70B: 31.4 (#286)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1408 | 1079 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Llama 2-70B: 14.4 (#325)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1073 |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.79 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Llama 2-70B: 8.1 (#326)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Math | 1389 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Llama 2-70B: 7.4 (#310)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1397 | 1039 |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Llama 2-70B: 27.7 (#274)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1382 | 1045 |
| LMArena Chinese | 1432 | 995 |
| LMArena French | 1397 | 1090 |
| LMArena German | 1384 | 1041 |
| LMArena Japanese | 1352 | 927 |
| LMArena Korean | 1346 | 964 |
| LMArena Russian | 1400 | 1083 |
| LMArena Spanish | 1371 | 1143 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Llama 2-70B: 54.9 (#278)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1071 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Llama 2-70B: 32.3 (#270)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1396 | 1062 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Llama 2-70B: 32.3 (#279)
| Benchmark | GPT-5.3 Chat | Llama 2-70B |
|---|---|---|
| LMArena Text | 1389 | 1115 |
| LMArena Creative Writing | 1355 | 1075 |
| LMArena Multi-Turn | 1412 | 1088 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Llama 2-70B?
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 2-70B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 31.4 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Llama 2-70B share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 2-70B has 35.