Model comparison
GPT-6.1 Sol vs Llama 3.2 90B
Llama 3.2 90B has enough public results to be ranked (#326); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 29.7.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Llama 3.2 90B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.1 | 27.1 |
| Released | 2026-09-29 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 2 | 9 |
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Category by category
Coding Not comparable
GPT-6.1 Sol: 51.4, Llama 3.2 90B: —
| Benchmark | GPT-6.1 Sol | Llama 3.2 90B |
|---|---|---|
| DeepSWE | 75.2% | — |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, Llama 3.2 90B: 29.7 (#73)
Reasoning Not comparable
GPT-6.1 Sol: —, Llama 3.2 90B: 20.9 (#207)
| Benchmark | GPT-6.1 Sol | Llama 3.2 90B |
|---|---|---|
| EnigmaEval | — | 0.4% |
| Epoch Capabilities Index | — | 125.5 |
Math Not comparable
GPT-6.1 Sol: —, Llama 3.2 90B: 10.4 (#302)
| Benchmark | GPT-6.1 Sol | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| MATH Level 5 | — | 39.4% |
Knowledge Not comparable
GPT-6.1 Sol: —, Llama 3.2 90B: 21.7 (#269)
| Benchmark | GPT-6.1 Sol | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | — | 41% |
| MMLU | — | 80.3% |
Multimodal Not comparable
GPT-6.1 Sol: —, Llama 3.2 90B: 24.9 (#119)
| Benchmark | GPT-6.1 Sol | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
Frequently asked questions
Is GPT-6.1 Sol better than Llama 3.2 90B?
Llama 3.2 90B has enough public results to be ranked (#326); GPT-6.1 Sol does not yet, so treat this comparison as directional.
How many benchmarks do GPT-6.1 Sol and Llama 3.2 90B share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Llama 3.2 90B has 9.