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Claude Haiku 5.5 vs DeepSeek V4 Pro

anthropic/claude-haiku-5.5 · deepseek/deepseek-v4-pro

As of November 2, 2026, DeepSeek V4 Pro is the cheaper API on UberLLM: $0.0065 per million input tokens and $0.0130 per million output, versus $0.0098 / $0.0490 for Claude Haiku 5.5, about 71% 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 Pro to cut cost; choose Claude Haiku 5.5 when its capabilities fit your task better.

Claude Haiku 5.5 vs DeepSeek V4 Pro, side by side

SpecClaude Haiku 5.5DeepSeek V4 Pro
Price · input / 1M$0.0098$0.0065
Price · output / 1M$0.0490$0.0130
Context length1,000,0001,000,000
Max output tokens128,000128,000
Input modalitiestext, image, filetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYesYes
% off list90.2% off99.6% off
First token, median (7 days)—5.4 s (200 requests)

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 Haiku 5.5 vs DeepSeek V4 Pro — FAQ

Is Claude Haiku 5.5 or DeepSeek V4 Pro cheaper?

DeepSeek V4 Pro is cheaper on a blended token mix, by about 71%. 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 Haiku 5.5 and DeepSeek V4 Pro?

Claude Haiku 5.5: $0.0098 in / $0.0490 out per 1M tokens. DeepSeek V4 Pro: $0.0065 in / $0.0130 out per 1M tokens. That's roughly a 71% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Haiku 5.5 and DeepSeek V4 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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