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. | — | 9B |
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 | 128k |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Jan 28 2025 | Jun 5 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Qwen2.5-MaxvsClaude Haiku 5.5GLM-4-9BvsClaude Haiku 5.5Qwen2.5-MaxvsGPT-6.1 SolGLM-4-9BvsGPT-6.1 SolQwen2.5-MaxvsGemini 4 ArgonGLM-4-9BvsGemini 4 ArgonQwen2.5-MaxvsMuse Spark OpenGLM-4-9BvsMuse Spark OpenQwen2.5-MaxvsGrok 4.7GLM-4-9BvsGrok 4.7Qwen2.5-MaxvsDeepSeek-V4.1-Flash-1017GLM-4-9BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Qwen2.5-Max and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GLM-4-9B shipped 237 days before Qwen2.5-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Qwen2.5-Max) vs 128k (GLM-4-9B). Qwen2.5-Max is closed, while GLM-4-9B is open weight.
Direct benchmark comparisons are unavailable — Qwen2.5-Max and GLM-4-9B don't publish scores on any of the same benchmarks.