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Gemini 2.5 Pro vs GPT-5.3 Codex

google/gemini-2.5-pro · openai/gpt-5.3-codex

As of November 2, 2026, GPT-5.3 Codex is the cheaper API on UberLLM: $0.0543 per million input tokens and $0.4348 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 82% 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-5.3 Codex to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 400,000 tokens), which can matter for long-document work.

Gemini 2.5 Pro vs GPT-5.3 Codex, side by side

SpecGemini 2.5 ProGPT-5.3 Codex
Price · input / 1M$0.3000$0.0543
Price · output / 1M$2.40$0.4348
Context length1,048,576400,000
Max output tokens65,536128,000
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list76% off96.9% 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?

Gemini 2.5 Pro vs GPT-5.3 Codex — FAQ

Is Gemini 2.5 Pro or GPT-5.3 Codex cheaper?

GPT-5.3 Codex is cheaper on a blended token mix, by about 82%. 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 Gemini 2.5 Pro and GPT-5.3 Codex?

Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. GPT-5.3 Codex: $0.0543 in / $0.4348 out per 1M tokens. That's roughly a 82% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Pro and GPT-5.3 Codex 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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