Model comparison
GPT-6 Sol vs Llama 13b
GPT-6 Sol is the stronger model overall, scoring 61.8 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. GPT-6 Sol scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 26.7.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 61.8 | 24.4 |
| Released | 2026-09-22 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 45 | 21 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Llama 13b: 21.4 (#337)
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Coding | 1447 | 683 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1688 | — |
| SciCode | 57.6% | — |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Llama 13b: —
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Llama 13b: 14.0 (#329)
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1418 | 728 |
| Epoch Capabilities Index | 162.72 | 100.58 |
| ARC-AGI-2 | 89.6% | — |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 30.9% | — |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Llama 13b: 26.7 (#256)
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Math | 1402 | 838 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 83% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
GPT-6 Sol: 64.8 (#15), Llama 13b: —
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| GPQA Diamond | 94.3% | — |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
| LMArena Expert | 1439 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Llama 13b: —
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
| ScienceQA | — | 43.3% |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 50.5 (#118), Llama 13b: 16.6 (#297)
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Non-English | 1385 | 819 |
| LMArena Chinese | 1405 | — |
| LMArena French | 1410 | — |
| LMArena German | 1390 | — |
| LMArena Japanese | 1385 | — |
| LMArena Korean | 1341 | — |
| LMArena Russian | 1401 | — |
| LMArena Spanish | 1384 | — |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.5 (#94), Llama 13b: 36.7 (#305)
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1412 | 781 |
Long Context Not comparable
GPT-6 Sol: 43.1 (#108), Llama 13b: —
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1411 | — |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Llama 13b: 13.8 (#312)
| Benchmark | GPT-6 Sol | Llama 13b |
|---|---|---|
| LMArena Text | 1395 | 834 |
| LMArena Creative Writing | 1378 | 794 |
| LMArena Multi-Turn | 1412 | 753 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Llama 13b?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 24.4 on the Noometry Index.
Is GPT-6 Sol or Llama 13b better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 21.4 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Llama 13b share?
9 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Llama 13b has 21.