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. | >1T | 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. | 256k | 128k |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Sep 24 2025 | Jun 5 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Qwen3-MaxvsClaude Haiku 5.5GLM-4-9BvsClaude Haiku 5.5Qwen3-MaxvsGPT-6.1 TerraGLM-4-9BvsGPT-6.1 TerraQwen3-MaxvsGemini 4 CarbonGLM-4-9BvsGemini 4 CarbonQwen3-MaxvsMuse Spark OpenGLM-4-9BvsMuse Spark OpenQwen3-MaxvsGrok 4.7GLM-4-9BvsGrok 4.7Qwen3-MaxvsDeepSeek-V4.1-Flash-1017GLM-4-9BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Qwen3-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 476 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Qwen3-Max has >1T parameters, while GLM-4-9B has 9B. Context windows are 256k (Qwen3-Max) vs 128k (GLM-4-9B). Qwen3-Max is closed, while GLM-4-9B is open weight.
Direct benchmark comparisons are unavailable — Qwen3-Max and GLM-4-9B don't publish scores on any of the same benchmarks.