Model comparison

GPT-6.1 Sol vs Llama 3.2 11B

Neither GPT-6.1 Sol nor Llama 3.2 11B has enough public benchmark results to be ranked yet; the rows below show what has been published.

Last verified . 0 shared benchmarks.

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Llama 3.2 11B Meta

31.6

Unranked Sparse

Summary

  • The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 27.0.
  • Llama 3.2 11B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Llama 3.2 11B specifications
GPT-6.1 SolLlama 3.2 11B
ProviderOpenAIMeta
Noometry Index42.131.6
Released2026-09-292024-09-24
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked23

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Category by category

Coding Not comparable

GPT-6.1 Sol: 51.4, Llama 3.2 11B: —

Coding benchmarks
BenchmarkGPT-6.1 SolLlama 3.2 11B
DeepSWE75.2%—

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 34.3, Llama 3.2 11B: 27.0

Agentic & Tool Use benchmarks
BenchmarkGPT-6.1 SolLlama 3.2 11B
BALROG—16.8%
GDP.pdf32%—

Knowledge Not comparable

GPT-6.1 Sol: —, Llama 3.2 11B: —

Knowledge benchmarks
BenchmarkGPT-6.1 SolLlama 3.2 11B
MMLU—56.5%

Multimodal Not comparable

GPT-6.1 Sol: —, Llama 3.2 11B: 23.8

Multimodal benchmarks
BenchmarkGPT-6.1 SolLlama 3.2 11B
LMArena Vision—966

Frequently asked questions

Is GPT-6.1 Sol better than Llama 3.2 11B?

Neither GPT-6.1 Sol nor Llama 3.2 11B has enough public benchmark results to be ranked yet; the rows below show what has been published.

How many benchmarks do GPT-6.1 Sol and Llama 3.2 11B share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Llama 3.2 11B has 3.

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