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

Claude Sonnet 5 vs Kimi K3

anthropic/claude-sonnet-5 · moonshotai/kimi-k3

As of October 31, 2026, Kimi K3 is the cheaper API on UberLLM: $0.0032 per million input tokens and $0.2475 per million output, versus $0.6600 / $3.30 for Claude Sonnet 5, about 93% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K3 to cut cost; choose Claude Sonnet 5 when its capabilities fit your task better.

Claude Sonnet 5 vs Kimi K3, side by side

SpecClaude Sonnet 5Kimi K3
Price · input / 1M$0.6600$0.0032
Price · output / 1M$3.30$0.2475
Context length1,000,0001,000,000
Max output tokens64,000131,072
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list67% off98% off
First token, median (7 days)—2.9 s (937 requests)

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Claude Sonnet 5 vs Kimi K3 — FAQ

Is Claude Sonnet 5 or Kimi K3 cheaper?

Kimi K3 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 Kimi K3?

Claude Sonnet 5: $0.6600 in / $3.30 out per 1M tokens. Kimi K3: $0.0032 in / $0.2475 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 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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