Side-by-side comparison
Qwen3 8B vs GLM 4.7 Flash
| Qwen3 8B | GLM 4.7 Flash | |
|---|---|---|
| Provider | Qwen | Z.ai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 40,960 | 202,752 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0500 | 0.0600 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4000 | 0.4000 |
Frequently asked questions
Which is cheaper, Qwen3 8B or GLM 4.7 Flash?
Qwen3 8B is cheaper than GLM 4.7 Flash on a 50/50 input/output blend by about $0.005 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen3 8B or GLM 4.7 Flash?
GLM 4.7 Flash has the larger context window at 203k tokens versus 41k tokens for Qwen3 8B. That means GLM 4.7 Flash can ingest about 5.0x as much text per request.
What is the difference between Qwen3 8B and GLM 4.7 Flash?
Qwen3 8B comes from Qwen; GLM 4.7 Flash comes from Z.ai. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.