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

DeepSeek V4 Flash vs Kimi K2 Thinking

deepseek/deepseek-v4-flash · moonshotai/kimi-k2-thinking

As of October 25, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0120 per million input tokens and $0.0500 per million output, versus $0.0582 / $0.1165 for DeepSeek V4 Flash — about 60% 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 DeepSeek V4 Flash when context size wins — DeepSeek V4 Flash carries the larger context window (1,048,576 vs 262,144 tokens), which can matter for long-document work.

DeepSeek V4 Flash vs Kimi K2 Thinking, side by side

SpecDeepSeek V4 FlashKimi K2 Thinking
Price · input / 1M$0.0582$0.0120
Price · output / 1M$0.1165$0.0500
Context length1,048,576262,144
Max output tokens65,53632,768
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYesYes
Cheapest sellerUberLLMUberLLM
% off list36% off98% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 25, 2026.

DeepSeek V4 Flash vs Kimi K2 Thinking — FAQ

Is DeepSeek V4 Flash or Kimi K2 Thinking cheaper?

Kimi K2 Thinking is cheaper on a blended token mix, by about 60%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.

What's the price difference between DeepSeek V4 Flash and Kimi K2 Thinking?

DeepSeek V4 Flash: $0.0582 in / $0.1165 out per 1M tokens. Kimi K2 Thinking: $0.0120 in / $0.0500 out per 1M tokens. That's roughly a 60% blended difference. Prices are live; UberLLM adds no fee.

Can I use both DeepSeek V4 Flash and Kimi K2 Thinking 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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