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Claude Sonnet 5 vs Gemini 2.5 Pro

anthropic/claude-sonnet-5 · google/gemini-2.5-pro

As of November 2, 2026, Claude Sonnet 5 is the cheaper API on UberLLM: $0.0976 per million input tokens and $0.4880 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 79% 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 Claude Sonnet 5 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 1,000,000 tokens), which can matter for long-document work.

Claude Sonnet 5 vs Gemini 2.5 Pro, side by side

SpecClaude Sonnet 5Gemini 2.5 Pro
Price · input / 1M$0.0976$0.3000
Price · output / 1M$0.4880$2.40
Context length1,000,0001,048,576
Max output tokens64,00065,536
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list95.1% off76% 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?

Claude Sonnet 5 vs Gemini 2.5 Pro — FAQ

Is Claude Sonnet 5 or Gemini 2.5 Pro cheaper?

Claude Sonnet 5 is cheaper on a blended token mix, by about 79%. 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 Claude Sonnet 5 and Gemini 2.5 Pro?

Claude Sonnet 5: $0.0976 in / $0.4880 out per 1M tokens. Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. That's roughly a 79% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Sonnet 5 and Gemini 2.5 Pro 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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