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/34B |
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. | 32k | 16k |
| Overview | ||
| Company | Meta | |
| Release date | Dec 13 2023 | Aug 24 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
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Gemini 1.0 Pro and Code Llama don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 111 days before Gemini 1.0 Pro, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Pro) vs 16k (Code Llama). Gemini 1.0 Pro is closed, while Code Llama is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Pro and Code Llama don't publish scores on any of the same benchmarks.