Models
Comparison
Qwen3 235B vs GLM 4.7
Qwen3 235B and GLM 4.7 side by side on Silicon Network: context length, capabilities, parameters, and the per-token price of each.
| Qwen3 235B | GLM 4.7 | |
|---|---|---|
| API model id | qwen3-235b | glm-4.7 |
| Base model | Qwen3 235B | GLM 4.7 |
| Family | Qwen | GLM |
| Parameters | 235B MoE | 355B MoE |
| Size class | Very large (200B and up) | Very large (200B and up) |
| Context length | 262,144 tokens (256K) | 202,752 tokens (198K) |
| Capabilities | Text, Reasoning, and Reasoning can be switched off | Text, Reasoning, and Reasoning can be switched off |
| Served weights | 4-bit | 4-bit |
| Weights size | 142 GB | 199 GB |
| Input price | Unavailable | Unavailable |
| Output price | Unavailable | Unavailable |
The published rates could not be loaded just now. The pricing page reads them live.
Differences
- Qwen3 235B has the longer context window: 262,144 tokens against 202,752.
- GLM 4.7 is the larger model by total parameters: 355B MoE against 235B MoE.
- Both support the same capabilities: Text, Reasoning, and Reasoning can be switched off.
Whether a model is loaded on a node right now changes through the day; the pricing page shows it live. A model that is not loaded answers 404 until an operator loads it.
About these figures
Context length, capabilities, and weights size come from the model card each id is served with. Rates are the published per-token prices, refreshed every few minutes. There are no speed figures here: the network does not publish per-model throughput yet.
Silicon Network›Models›Qwen3 235B vs GLM 4.713 items