Qwen3 32B vs GLM 5.3
qwen/qwen3-32b · z-ai/glm-5.3
As of October 31, 2026, Qwen3 32B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0028 per million output, versus $0.0022 / $0.0448 for GLM 5.3, about 93% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Qwen3 32B to cut cost; choose GLM 5.3 when context size wins. GLM 5.3 carries the larger context window (1,000,000 vs 32,000 tokens), which can matter for long-document work.
Qwen3 32B vs GLM 5.3, side by side
| Spec | Qwen3 32B | GLM 5.3 |
|---|---|---|
| Price · input / 1M | $0.0008 | $0.0022 |
| Price · output / 1M | $0.0028 | $0.0448 |
| Context length | 32,000 | 1,000,000 |
| Max output tokens | 8,000 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 99% off | 97% off |
| First token, median (7 days) | — | 3.5 s (156 requests) |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Qwen3 32B vs GLM 5.3 — FAQ
Is Qwen3 32B or GLM 5.3 cheaper?
Qwen3 32B is cheaper on a blended token mix, by about 93%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Qwen3 32B and GLM 5.3?
Qwen3 32B: $0.0008 in / $0.0028 out per 1M tokens. GLM 5.3: $0.0022 in / $0.0448 out per 1M tokens. That's roughly a 93% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Qwen3 32B and GLM 5.3 with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.