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 |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 15% | — |
| Overview | ||
| Company | Meta | |
| Release date | Jan 30 2025 | Apr 18 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Haiku 5.5LLaMA 3 (8B/70B)vsClaude Haiku 5.5Gemini 2.0 FlashvsGPT-6.1 SolLLaMA 3 (8B/70B)vsGPT-6.1 SolGemini 2.0 FlashvsGrok 4.7LLaMA 3 (8B/70B)vsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017LLaMA 3 (8B/70B)vsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsMistral Large 4LLaMA 3 (8B/70B)vsMistral Large 4Gemini 2.0 FlashvsKimi K3LLaMA 3 (8B/70B)vsKimi K3Frequently asked questions
Gemini 2.0 Flash and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3 (8B/70B) shipped 287 days before Gemini 2.0 Flash, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 8k (LLaMA 3 (8B/70B)). Gemini 2.0 Flash is closed, while LLaMA 3 (8B/70B) is open weight.
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks.