GPT-5.2 Codex vs Qwen 3.6 35B A3B
openai/gpt-5.2-codex · qwen/qwen3-6-35b-a3b
As of November 2, 2026, Qwen 3.6 35B A3B is the cheaper API on UberLLM: $0.0049 per million input tokens and $0.0485 per million output, versus $0.4375 / $3.50 for GPT-5.2 Codex, about 99% 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 Qwen 3.6 35B A3B to cut cost; choose GPT-5.2 Codex when its capabilities fit your task better.
GPT-5.2 Codex vs Qwen 3.6 35B A3B, side by side
| Spec | GPT-5.2 Codex | Qwen 3.6 35B A3B |
|---|---|---|
| Price · input / 1M | $0.4375 | $0.0049 |
| Price · output / 1M | $3.50 | $0.0485 |
| Context length | 256,000 | 262,144 |
| Max output tokens | 65,536 | 262,144 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 75% off | 95.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
GPT-5.2 Codex vs Qwen 3.6 35B A3B — FAQ
Is GPT-5.2 Codex or Qwen 3.6 35B A3B cheaper?
Qwen 3.6 35B A3B is cheaper on a blended token mix, by about 99%. 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-5.2 Codex and Qwen 3.6 35B A3B?
GPT-5.2 Codex: $0.4375 in / $3.50 out per 1M tokens. Qwen 3.6 35B A3B: $0.0049 in / $0.0485 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both GPT-5.2 Codex and Qwen 3.6 35B 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.