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// alternatives · October 2026

Kimi K2 Thinking alternatives

Cheaper models that come close, budget substitutes, and the cheapest step up — chosen on published LiveBench scores and live list price, never on our opinion. Every model here supports tool calling, as Kimi K2 Thinking does.

LiveBench hasn't published a run for Kimi K2 Thinking. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 74.0 overall.

Kimi K2 Thinking: no published LiveBench run, $1.07 per 1M blended tokens, about $450.00/mo for a RAG assistant.

Benchmarked models at or below its price

Kimi K2 Thinking has no published LiveBench run, so these are the highest-scoring benchmarked models priced no more than 25% above it — a known quantity to test against.

ModelOverallvs Kimi K2 ThinkingBlended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

51% cheaper. Head to head →

74.0—$0.525−51%$194.40/mo1.0M
Claude Haiku 5.5anthropic

81% cheaper. Head to head →

69.8—$0.200−81%$74.00/mo1M
MiMo-V2.6-Proxiaomi

49% cheaper. Head to head →

68.5—$0.544−49%$227.64/mo1.1M
MiniMax M3.1 Flashminimax

76% cheaper. Head to head →

66.9—$0.262−76%$102.00/mo1.0M
GPT-6 Lunaopenai

81% cheaper. Head to head →

64.6—$0.200−81%$74.00/mo1.1M
GLM 5.3 Flashz-ai

95% cheaper. Head to head →

62.1—$0.053−95%$34.59/mo1.0M

Kimi K2 Thinking alternatives FAQ

What is the best alternative to Kimi K2 Thinking?

DeepSeek V4.1 Flash 1017. 51% cheaper. Every suggestion supports tool calling, like Kimi K2 Thinking.

How alternatives are chosen

  • Scores — LiveBench release 2026-10-25. Only models with a published run are suggested on quality; a missing model means “not evaluated”, not “worse”.
  • Prices — live list prices from OpenRouter, blended 3:1 input:output. Monthly figures price a RAG assistant with the published cached-input rate where there is one.
  • Same job — suggestions must support every capability Kimi K2 Thinking has among tool calling and image input. Other listings of the same model (free or batch tiers) are variants, not alternatives, and are left out.

A few points on a public benchmark can hide large differences on your own tasks. Shortlist here, then decide with an eval — how to build one.