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. | 12B | 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. | 128k | 8k |
| Overview | ||
| Company | Mistral | SpaceXSI |
| Release date | Sep 11 2024 | Nov 3 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Pixtral 24.09vsClaude Haiku 5.5Grok‑1vsClaude Haiku 5.5Pixtral 24.09vsGPT-6.1 SolGrok‑1vsGPT-6.1 SolPixtral 24.09vsGemini 4 ArgonGrok‑1vsGemini 4 ArgonPixtral 24.09vsMuse Spark OpenGrok‑1vsMuse Spark OpenPixtral 24.09vsDeepSeek-V4.1-Flash-1017Grok‑1vsDeepSeek-V4.1-Flash-1017Pixtral 24.09vsKimi K3Grok‑1vsKimi K3Frequently asked questions
Pixtral 24.09 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 313 days before Pixtral 24.09, so benchmark comparisons should account for the intervening progress.
Pixtral 24.09 has 12B parameters, while Grok‑1 has 314B. Context windows are 128k (Pixtral 24.09) vs 8k (Grok‑1).
Direct benchmark comparisons are unavailable — Pixtral 24.09 and Grok‑1 don't publish scores on any of the same benchmarks.