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. | 32B | 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 |
| These models have no shared benchmark scores. | ||
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 63.4% | — |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Mar 6 2025 | Mar 14 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
QwQ-32BvsClaude Haiku 5.5ChatGLM-6BvsClaude Haiku 5.5QwQ-32BvsGPT-6.1 TerraChatGLM-6BvsGPT-6.1 TerraQwQ-32BvsGemini 4 CarbonChatGLM-6BvsGemini 4 CarbonQwQ-32BvsMuse Spark OpenChatGLM-6BvsMuse Spark OpenQwQ-32BvsGrok 4.7ChatGLM-6BvsGrok 4.7QwQ-32BvsDeepSeek-V4.1-Flash-1017ChatGLM-6BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
QwQ-32B 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 723 days before QwQ-32B, so benchmark comparisons should account for the intervening progress.
QwQ-32B has 32B parameters, while ChatGLM-6B has 6B. Context windows are 128k (QwQ-32B) vs 2k (ChatGLM-6B).
Direct benchmark comparisons are unavailable — QwQ-32B and ChatGLM-6B don't publish scores on any of the same benchmarks.