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/33B/65B |
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. | 1M | 2k |
| Overview | ||
| Company | Meta | |
| Release date | Feb 15 2024 | Feb 24 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.5 ProvsClaude Haiku 5.5LLaMA 1vsClaude Haiku 5.5Gemini 1.5 ProvsGPT-6.1 SolLLaMA 1vsGPT-6.1 SolGemini 1.5 ProvsGrok 4.7LLaMA 1vsGrok 4.7Gemini 1.5 ProvsDeepSeek-V4.1-Flash-1017LLaMA 1vsDeepSeek-V4.1-Flash-1017Gemini 1.5 ProvsMistral Large 4LLaMA 1vsMistral Large 4Gemini 1.5 ProvsKimi K3LLaMA 1vsKimi K3Frequently asked questions
Gemini 1.5 Pro and LLaMA 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 1 shipped 356 days before Gemini 1.5 Pro, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Pro) vs 2k (LLaMA 1). Gemini 1.5 Pro is closed, while LLaMA 1 is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro and LLaMA 1 don't publish scores on any of the same benchmarks.