GPT 5.4 Nano vs Qwen3 30B A3B
openai/gpt-5.4-nano · qwen/qwen3-30b-a3b
As of November 1, 2026, Qwen3 30B A3B is the cheaper API on UberLLM: $0.0360 per million input tokens and $0.1500 per million output, versus $0.0390 / $0.2437 for GPT 5.4 Nano, about 37% 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 30B A3B to cut cost; choose GPT 5.4 Nano when context size wins. GPT 5.4 Nano carries the larger context window (400,000 vs 256,000 tokens), which can matter for long-document work.
GPT 5.4 Nano vs Qwen3 30B A3B, side by side
| Spec | GPT 5.4 Nano | Qwen3 30B A3B |
|---|---|---|
| Price · input / 1M | $0.0390 | $0.0360 |
| Price · output / 1M | $0.2437 | $0.1500 |
| Context length | 400,000 | 256,000 |
| Max output tokens | 128,000 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 80.5% off | 70% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
GPT 5.4 Nano vs Qwen3 30B A3B — FAQ
Is GPT 5.4 Nano or Qwen3 30B A3B cheaper?
Qwen3 30B A3B is cheaper on a blended token mix, by about 37%. 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 5.4 Nano and Qwen3 30B A3B?
GPT 5.4 Nano: $0.0390 in / $0.2437 out per 1M tokens. Qwen3 30B A3B: $0.0360 in / $0.1500 out per 1M tokens. That's roughly a 37% blended difference. Prices are live; UberLLM adds no fee.
Can I use both GPT 5.4 Nano and Qwen3 30B A3B 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.