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Claude Sonnet 5 vs Gemini 3.8 Flash

anthropic/claude-sonnet-5 · google/gemini-3.8-flash

As of November 4, 2026, Gemini 3.8 Flash is the cheaper API on UberLLM: $0.0082 per million input tokens and $0.0412 per million output, versus $0.1103 / $0.5513 for Claude Sonnet 5, about 93% 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 Gemini 3.8 Flash to cut cost; choose Claude Sonnet 5 when its capabilities fit your task better.

Claude Sonnet 5 vs Gemini 3.8 Flash, side by side

SpecClaude Sonnet 5Gemini 3.8 Flash
Price · input / 1M$0.1103$0.0082
Price · output / 1M$0.5513$0.0412
Context length1,000,0001,048,576
Max output tokens64,00065,536
Input modalitiestext, imagetext, image, video, audio, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list94.5% off99% off
First token, median (7 days)3.2 s (3,417 requests)—

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Claude Sonnet 5 vs Gemini 3.8 Flash — FAQ

Is Claude Sonnet 5 or Gemini 3.8 Flash cheaper?

Gemini 3.8 Flash is cheaper on a blended token mix, by about 93%. 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 3.8 Flash?

Claude Sonnet 5: $0.1103 in / $0.5513 out per 1M tokens. Gemini 3.8 Flash: $0.0082 in / $0.0412 out per 1M tokens. That's roughly a 93% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Sonnet 5 and Gemini 3.8 Flash 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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