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. | 124B | 6B |
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 | 2k |
| Overview | ||
| Company | Mistral | Z.ai |
| Release date | Nov 18 2024 | Mar 14 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Pixtral Large 24.11vsClaude Haiku 5.5ChatGLM-6BvsClaude Haiku 5.5Pixtral Large 24.11vsGPT-6.1 SolChatGLM-6BvsGPT-6.1 SolPixtral Large 24.11vsGemini 4 ArgonChatGLM-6BvsGemini 4 ArgonPixtral Large 24.11vsMuse Spark OpenChatGLM-6BvsMuse Spark OpenPixtral Large 24.11vsGrok 4.7ChatGLM-6BvsGrok 4.7Pixtral Large 24.11vsDeepSeek-V4.1-Flash-1017ChatGLM-6BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Pixtral Large 24.11 and ChatGLM-6B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. ChatGLM-6B shipped 615 days before Pixtral Large 24.11, so benchmark comparisons should account for the intervening progress.
Pixtral Large 24.11 has 124B parameters, while ChatGLM-6B has 6B. Context windows are 128k (Pixtral Large 24.11) vs 2k (ChatGLM-6B).
Direct benchmark comparisons are unavailable — Pixtral Large 24.11 and ChatGLM-6B don't publish scores on any of the same benchmarks.