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GPT-5.2 Codex vs Qwen3 VL 30B A3B

openai/gpt-5.2-codex · qwen/qwen3-vl-30b-a3b-thinking

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 $0.4375 / $3.50 for GPT-5.2 Codex, about 81% 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 GPT-5.2 Codex when context size wins. GPT-5.2 Codex carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.

GPT-5.2 Codex vs Qwen3 VL 30B A3B, side by side

SpecGPT-5.2 CodexQwen3 VL 30B A3B
Price · input / 1M$0.4375$0.1400
Price · output / 1M$3.50$0.6300
Context length256,000128,000
Max output tokens65,5364,096
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list75% off46.9% 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-5.2 Codex vs Qwen3 VL 30B A3B — FAQ

Is GPT-5.2 Codex or Qwen3 VL 30B A3B cheaper?

Qwen3 VL 30B A3B is cheaper on a blended token mix, by about 81%. 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 Qwen3 VL 30B A3B?

GPT-5.2 Codex: $0.4375 in / $3.50 out per 1M tokens. Qwen3 VL 30B A3B: $0.1400 in / $0.6300 out per 1M tokens. That's roughly a 81% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT-5.2 Codex and Qwen3 VL 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.

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