GPT-6 Luna vs Qwen3 VL 235B A22B
openai/gpt-6-luna · qwen/qwen3-vl-235b-a22b-instruct
As of November 5, 2026, GPT-6 Luna is the cheaper API on UberLLM: $0.0032 per million input tokens and $0.0161 per million output, versus $0.0021 / $0.0188 for Qwen3 VL 235B A22B, about 12% 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 GPT-6 Luna to cut cost; choose Qwen3 VL 235B A22B when its capabilities fit your task better.
GPT-6 Luna vs Qwen3 VL 235B A22B, side by side
| Spec | GPT-6 Luna | Qwen3 VL 235B A22B |
|---|---|---|
| Price · input / 1M | $0.0032 | $0.0021 |
| Price · output / 1M | $0.0161 | $0.0188 |
| Context length | 1,050,000 | 256,000 |
| Max output tokens | 128,000 | 8,000 |
| Input modalities | text, image, file | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | — |
| % off list | 96.8% off | 99% 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. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
GPT-6 Luna vs Qwen3 VL 235B A22B — FAQ
Is GPT-6 Luna or Qwen3 VL 235B A22B cheaper?
GPT-6 Luna is cheaper on a blended token mix, by about 12%. 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 GPT-6 Luna and Qwen3 VL 235B A22B?
GPT-6 Luna: $0.0032 in / $0.0161 out per 1M tokens. Qwen3 VL 235B A22B: $0.0021 in / $0.0188 out per 1M tokens. That's roughly a 12% blended difference. Prices are live; UberLLM adds no fee.
Can I use both GPT-6 Luna and Qwen3 VL 235B A22B 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.