NewPoint any agent at UberLLM — one key, every model, list price or less.

GPT-5.2 Codex vs Qwen 3 Coder 480B Turbo

openai/gpt-5.2-codex · qwen/qwen3-coder-turbo

As of October 31, 2026, Qwen 3 Coder 480B Turbo is the cheaper API on UberLLM: $0.2289 per million input tokens and $0.9810 per million output, versus $1.48 / $11.84 for GPT-5.2 Codex, about 91% 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 Qwen 3 Coder 480B Turbo to cut cost; choose GPT-5.2 Codex when its capabilities fit your task better.

GPT-5.2 Codex vs Qwen 3 Coder 480B Turbo, side by side

SpecGPT-5.2 CodexQwen 3 Coder 480B Turbo
Price · input / 1M$1.48$0.2289
Price · output / 1M$11.84$0.9810
Context length256,000256,000
Max output tokens65,53665,536
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYes—
% off list15% off35% off

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.

GPT-5.2 Codex vs Qwen 3 Coder 480B Turbo — FAQ

Is GPT-5.2 Codex or Qwen 3 Coder 480B Turbo cheaper?

Qwen 3 Coder 480B Turbo is cheaper on a blended token mix, by about 91%. 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 Coder 480B Turbo?

GPT-5.2 Codex: $1.48 in / $11.84 out per 1M tokens. Qwen 3 Coder 480B Turbo: $0.2289 in / $0.9810 out per 1M tokens. That's roughly a 91% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT-5.2 Codex and Qwen 3 Coder 480B 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.

More comparisons