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 | 314B |
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 | 8k |
| Overview | ||
| Company | Meta | SpaceXSI |
| Release date | Jan 29 2024 | Nov 3 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Code Llama 70BvsClaude Haiku 5.5Grok‑1vsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolGrok‑1vsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonGrok‑1vsGemini 4 ArgonCode Llama 70BvsDeepSeek-V4.1-Flash-1017Grok‑1vsDeepSeek-V4.1-Flash-1017Code Llama 70BvsMistral Large 4Grok‑1vsMistral Large 4Code Llama 70BvsKimi K3Grok‑1vsKimi K3Frequently asked questions
Code Llama 70B and Grok‑1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑1 shipped 87 days before Code Llama 70B, so benchmark comparisons should account for the intervening progress.
Code Llama 70B has 70B parameters, while Grok‑1 has 314B. Context windows are 16k (Code Llama 70B) vs 8k (Grok‑1).
Direct benchmark comparisons are unavailable — Code Llama 70B and Grok‑1 don't publish scores on any of the same benchmarks.