Model comparison
GPT-5.3 Chat vs Llama 3-8B
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 25.5 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 3-8B 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 7.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Llama 3-8B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.8 | 25.5 |
| Released | 2026-03-03 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 34 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Llama 3-8B: 31.0 (#289)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1408 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Llama 3-8B: 14.3 (#326)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1133 |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Llama 3-8B: 8.8 (#323)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Math | 1389 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Llama 3-8B: 7.8 (#308)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1397 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Llama 3-8B: 30.8 (#261)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1382 | 1098 |
| LMArena Chinese | 1432 | 1076 |
| LMArena French | 1397 | 1159 |
| LMArena German | 1384 | 1104 |
| LMArena Japanese | 1352 | 967 |
| LMArena Korean | 1346 | 1004 |
| LMArena Russian | 1400 | 1109 |
| LMArena Spanish | 1371 | 1173 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Llama 3-8B: 58.4 (#260)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1127 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Llama 3-8B: 34.2 (#251)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1396 | 1128 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Llama 3-8B: 37.5 (#256)
| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Text | 1389 | 1166 |
| LMArena Creative Writing | 1355 | 1150 |
| LMArena Multi-Turn | 1412 | 1152 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Llama 3-8B?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 25.5 on the Noometry Index.
Is GPT-5.3 Chat or Llama 3-8B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 31.0 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Llama 3-8B share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 3-8B has 34.