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. | — | 8B/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. | 1M | 8k |
| Overview | ||
| Company | Meta | |
| Release date | Feb 15 2024 | Apr 18 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.5 ProvsClaude Haiku 5.5LLaMA 3 (8B/70B)vsClaude Haiku 5.5Gemini 1.5 ProvsGPT-6.1 SolLLaMA 3 (8B/70B)vsGPT-6.1 SolGemini 1.5 ProvsGrok 4.7LLaMA 3 (8B/70B)vsGrok 4.7Gemini 1.5 ProvsDeepSeek-V4.1-Flash-1017LLaMA 3 (8B/70B)vsDeepSeek-V4.1-Flash-1017Gemini 1.5 ProvsMistral Large 4LLaMA 3 (8B/70B)vsMistral Large 4Gemini 1.5 ProvsKimi K3LLaMA 3 (8B/70B)vsKimi K3Frequently asked questions
Gemini 1.5 Pro and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Pro shipped 63 days before LLaMA 3 (8B/70B), so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Pro) vs 8k (LLaMA 3 (8B/70B)). Gemini 1.5 Pro is closed, while LLaMA 3 (8B/70B) is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks.