Model comparison
GPT-6 Sol vs Llama 3-70B
GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.5 on the Noometry Index.
Last verified . 13 shared benchmarks.
MetaSummary
- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 17.4.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Llama 3-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.2 | 28.5 |
| Released | 2026-09-22 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 22 | 31 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 59.6 (#11), Llama 3-70B: 35.3 (#215)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1453 | 1206 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use GPT-6 Sol leads
GPT-6 Sol: 33.5 (#49), Llama 3-70B: 20.9 (#132)
Reasoning GPT-6 Sol leads
GPT-6 Sol: 49.3 (#34), Llama 3-70B: 17.4 (#284)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1195 |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| DTBench | — | 54.2% |
| Epoch Capabilities Index | — | 122.91 |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math GPT-6 Sol leads
GPT-6 Sol: 35.8 (#135), Llama 3-70B: 12.0 (#299)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Math | 1404 | 1218 |
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| MATH Level 5 | — | 22.6% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 43.0 (#87), Llama 3-70B: 20.8 (#272)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Expert | 1449 | 1149 |
| GPQA Diamond | — | 40.6% |
| Vectara Hallucination Rate | 6.5% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#9), Llama 3-70B: —
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 51.0 (#113), Llama 3-70B: 33.8 (#246)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1389 | 1142 |
| LMArena Chinese | 1416 | 1114 |
| LMArena Russian | 1407 | 1159 |
| LMArena Spanish | 1377 | 1241 |
| LMArena French | — | 1231 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.4 (#97), Llama 3-70B: 62.8 (#233)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1194 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.2 (#100), Llama 3-70B: 35.6 (#235)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1415 | 1174 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 72.3 (#15), Llama 3-70B: 43.0 (#225)
| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Text | 1396 | 1221 |
| LMArena Creative Writing | 1392 | 1210 |
| LMArena Multi-Turn | 1405 | 1223 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Llama 3-70B?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.5 on the Noometry Index.
Is GPT-6 Sol or Llama 3-70B better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 35.3 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Llama 3-70B share?
13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Llama 3-70B has 31.