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Kimi K3 Fast vs OpenAI: GPT-6.1 Terra

moonshotai/kimi-k3-fast-api · openai/gpt-6.1-terra

As of November 5, 2026, OpenAI: GPT-6.1 Terra is the cheaper API on UberLLM: $0.0311 per million input tokens and $0.1555 per million output, versus $3.55 / $17.77 for Kimi K3 Fast, 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 OpenAI: GPT-6.1 Terra to cut cost; choose Kimi K3 Fast when its capabilities fit your task better.

Kimi K3 Fast vs OpenAI: GPT-6.1 Terra, side by side

SpecKimi K3 FastOpenAI: GPT-6.1 Terra
Price · input / 1M$3.55$0.0311
Price · output / 1M$17.77$0.1555
Context length1,000,0001,050,000
Max output tokens131,072128,000
Input modalitiestext, imagetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list21% off96.9% off
First token, median (7 days)—1.7 s (104 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Kimi K3 Fast vs OpenAI: GPT-6.1 Terra — FAQ

Is Kimi K3 Fast or OpenAI: GPT-6.1 Terra cheaper?

OpenAI: GPT-6.1 Terra 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 Kimi K3 Fast and OpenAI: GPT-6.1 Terra?

Kimi K3 Fast: $3.55 in / $17.77 out per 1M tokens. OpenAI: GPT-6.1 Terra: $0.0311 in / $0.1555 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Kimi K3 Fast and OpenAI: GPT-6.1 Terra 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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