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// alternatives · October 2026

Kimi K2 0711 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 0711 does.

LiveBench hasn't published a run for Kimi K2 0711. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 74.0 overall.

Kimi K2 0711: no published LiveBench run, $1.00 per 1M blended tokens, about $594.00/mo for a RAG assistant.

Benchmarked models at or below its price

Kimi K2 0711 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 0711Blended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

48% cheaper. Head to head →

74.0—$0.525−48%$194.40/mo1.0M
Claude Haiku 5.5anthropic

80% cheaper. Head to head →

69.8—$0.200−80%$74.00/mo1M
MiMo-V2.6-Proxiaomi

46% cheaper. Head to head →

68.5—$0.544−46%$227.64/mo1.1M
MiniMax M3.1 Flashminimax

74% cheaper. Head to head →

66.9—$0.262−74%$102.00/mo1.0M
GPT-6 Lunaopenai

80% cheaper. Head to head →

64.6—$0.200−80%$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 0711 alternatives FAQ

What is the best alternative to Kimi K2 0711?

DeepSeek V4.1 Flash 1017. 48% cheaper. Every suggestion supports tool calling, like Kimi K2 0711.

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 0711 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.