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

Kimi K2 Thinking vs Grok 4.3

moonshotai/kimi-k2-thinking · x-ai/grok-4.3

As of October 28, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0180 per million input tokens and $0.0750 per million output, versus $0.5250 / $1.05 for Grok 4.3 — about 93% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Kimi K2 Thinking to cut cost; choose Grok 4.3 when context size wins — Grok 4.3 carries the larger context window (1,000,000 vs 262,144 tokens), which can matter for long-document work.

Kimi K2 Thinking vs Grok 4.3, side by side

SpecKimi K2 ThinkingGrok 4.3
Price · input / 1M$0.0180$0.5250
Price · output / 1M$0.0750$1.05
Context length262,1441,000,000
Max output tokens32,768128,000
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
ReasoningYes—
Cheapest sellerUberLLMUberLLM
% off list97% off58% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 28, 2026.

Kimi K2 Thinking vs Grok 4.3 — FAQ

Is Kimi K2 Thinking or Grok 4.3 cheaper?

Kimi K2 Thinking is cheaper on a blended token mix, by about 93%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between Kimi K2 Thinking and Grok 4.3?

Kimi K2 Thinking: $0.0180 in / $0.0750 out per 1M tokens. Grok 4.3: $0.5250 in / $1.05 out per 1M tokens. That's roughly a 93% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Kimi K2 Thinking and Grok 4.3 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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