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Claude Sonnet 4.5 vs DeepSeek V4 Flash

anthropic/claude-sonnet-4.5 · deepseek/deepseek-v4-flash

As of November 9, 2026, DeepSeek V4 Flash is the cheaper API on UberLLM: $0.0090 per million input tokens and $0.0181 per million output, versus $0.7035 / $3.52 for Claude Sonnet 4.5, about 99% 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 DeepSeek V4 Flash to cut cost; choose Claude Sonnet 4.5 when its capabilities fit your task better.

Claude Sonnet 4.5 vs DeepSeek V4 Flash, side by side

SpecClaude Sonnet 4.5DeepSeek V4 Flash
Price · input / 1M$0.7035$0.0090
Price · output / 1M$3.52$0.0181
Context length198,0001,000,000
Max output tokens64,000128,000
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYesYes
% off list76.6% off90.1% off
First token, median (7 days)—5.9 s (9,017 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 9, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Claude Sonnet 4.5 vs DeepSeek V4 Flash — FAQ

Is Claude Sonnet 4.5 or DeepSeek V4 Flash cheaper?

DeepSeek V4 Flash is cheaper on a blended token mix, by about 99%. 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 4.5 and DeepSeek V4 Flash?

Claude Sonnet 4.5: $0.7035 in / $3.52 out per 1M tokens. DeepSeek V4 Flash: $0.0090 in / $0.0181 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Sonnet 4.5 and DeepSeek V4 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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