Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | 7B/13B/70B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 32k | 4k |
| Overview | ||
| Company | Meta | |
| Release date | Feb 8 2024 | Jul 18 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 UltravsClaude Haiku 5.5LLaMA 2vsClaude Haiku 5.5Gemini 1.0 UltravsGPT-6.1 SolLLaMA 2vsGPT-6.1 SolGemini 1.0 UltravsGrok 4.7LLaMA 2vsGrok 4.7Gemini 1.0 UltravsDeepSeek-V4.1-Flash-1017LLaMA 2vsDeepSeek-V4.1-Flash-1017Gemini 1.0 UltravsMistral Large 4LLaMA 2vsMistral Large 4Gemini 1.0 UltravsKimi K3LLaMA 2vsKimi K3Frequently asked questions
Gemini 1.0 Ultra and LLaMA 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 2 shipped 205 days before Gemini 1.0 Ultra, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Ultra) vs 4k (LLaMA 2). Gemini 1.0 Ultra is closed, while LLaMA 2 is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Ultra and LLaMA 2 don't publish scores on any of the same benchmarks.