NewPoint any agent at UberLLM — one key, every model, list price or less.

Claude Haiku 5.5 vs Kimi K3

anthropic/claude-haiku-5.5 · moonshotai/kimi-k3

As of November 1, 2026, Claude Haiku 5.5 is the cheaper API on UberLLM: $0.0069 per million input tokens and $0.0347 per million output, versus $0.0017 / $0.0781 for Kimi K3, about 53% 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 Haiku 5.5 to cut cost; choose Kimi K3 when its capabilities fit your task better.

Claude Haiku 5.5 vs Kimi K3, side by side

SpecClaude Haiku 5.5Kimi K3
Price · input / 1M$0.0069$0.0017
Price · output / 1M$0.0347$0.0781
Context length1,000,0001,000,000
Max output tokens128,000131,072
Input modalitiestext, image, filetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list93.1% off99.3% off
First token, median (7 days)—2.9 s (937 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Claude Haiku 5.5 vs Kimi K3 — FAQ

Is Claude Haiku 5.5 or Kimi K3 cheaper?

Claude Haiku 5.5 is cheaper on a blended token mix, by about 53%. 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 Kimi K3?

Claude Haiku 5.5: $0.0069 in / $0.0347 out per 1M tokens. Kimi K3: $0.0017 in / $0.0781 out per 1M tokens. That's roughly a 53% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Haiku 5.5 and Kimi K3 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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