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. | 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. | 16k | 128k |
| Overview | ||
| Company | Meta | SpaceXSI |
| Release date | Jan 29 2024 | Aug 14 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Code Llama 70BvsClaude Haiku 5.5Grok‑2vsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolGrok‑2vsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonGrok‑2vsGemini 4 ArgonCode Llama 70BvsDeepSeek-V4.1-Flash-1017Grok‑2vsDeepSeek-V4.1-Flash-1017Code Llama 70BvsMistral Large 4Grok‑2vsMistral Large 4Code Llama 70BvsKimi K3Grok‑2vsKimi K3Frequently asked questions
Code Llama 70B and Grok‑2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama 70B shipped 198 days before Grok‑2, so benchmark comparisons should account for the intervening progress.
Context windows are 16k (Code Llama 70B) vs 128k (Grok‑2). Code Llama 70B is open weight, while Grok‑2 is closed.
Direct benchmark comparisons are unavailable — Code Llama 70B and Grok‑2 don't publish scores on any of the same benchmarks.