Qwen3 VL 30B A3B vs GLM 5V Turbo
qwen/qwen3-vl-30b-a3b-thinking · z-ai/glm-5v-turbo
As of November 5, 2026, Qwen3 VL 30B A3B is the cheaper API on UberLLM: $0.1400 per million input tokens and $0.6300 per million output, versus $0.6816 / $2.27 for GLM 5V Turbo, about 73% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Qwen3 VL 30B A3B to cut cost; choose GLM 5V Turbo when context size wins. GLM 5V Turbo carries the larger context window (200,000 vs 128,000 tokens), which can matter for long-document work.
Qwen3 VL 30B A3B vs GLM 5V Turbo, side by side
| Spec | Qwen3 VL 30B A3B | GLM 5V Turbo |
|---|---|---|
| Price · input / 1M | $0.1400 | $0.6816 |
| Price · output / 1M | $0.6300 | $2.27 |
| Context length | 128,000 | 200,000 |
| Max output tokens | 4,096 | 32,768 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 46.9% off | 43.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026.
Qwen3 VL 30B A3B vs GLM 5V Turbo — FAQ
Is Qwen3 VL 30B A3B or GLM 5V Turbo cheaper?
Qwen3 VL 30B A3B is cheaper on a blended token mix, by about 73%. 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 VL 30B A3B and GLM 5V Turbo?
Qwen3 VL 30B A3B: $0.1400 in / $0.6300 out per 1M tokens. GLM 5V Turbo: $0.6816 in / $2.27 out per 1M tokens. That's roughly a 73% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Qwen3 VL 30B A3B and GLM 5V Turbo 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.