Model comparison
GPT-5.2 Pro vs Llama 3-8B
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 25.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and Llama 3-8B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 8.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Llama 3-8B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 52.3 | 25.5 |
| Released | 2025-12-11 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $21 | — |
| Output $ / M tokens | $168 | — |
| Results tracked | 8 | 34 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Llama 3-8B: 31.0 (#289)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | — | 31.9% |
| LMArena Coding | — | 1152 |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Llama 3-8B: 14.3 (#326)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| Epoch Capabilities Index | 155.4 | 116.45 |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1133 |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Llama 3-8B: 8.8 (#323)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| LMArena Math | — | 1151 |
| MATH Level 5 | — | 6.1% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Llama 3-8B: 7.8 (#308)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| GPQA Diamond | — | 26.1% |
| LMArena Expert | — | 1113 |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Not comparable
GPT-5.2 Pro: —, Llama 3-8B: 30.8 (#261)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| LMArena Non-English | — | 1098 |
| LMArena Chinese | — | 1076 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Russian | — | 1109 |
| LMArena Spanish | — | 1173 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Llama 3-8B: 58.4 (#260)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | — | 1127 |
Long Context Not comparable
GPT-5.2 Pro: —, Llama 3-8B: 34.2 (#251)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | — | 1128 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Llama 3-8B: 37.5 (#256)
| Benchmark | GPT-5.2 Pro | Llama 3-8B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1150 |
| LMArena Multi-Turn | — | 1152 |
Frequently asked questions
Is GPT-5.2 Pro better than Llama 3-8B?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 25.5 on the Noometry Index.
How many benchmarks do GPT-5.2 Pro and Llama 3-8B share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Llama 3-8B has 34.