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// alternatives · October 2026

Claude Haiku 4.5 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 and image input, as Claude Haiku 4.5 does.

LiveBench hasn't published a run for Claude Haiku 4.5. The strongest benchmarked model at a similar or lower price is GPT-6.1 Terra, scoring 77.8 overall.

Claude Haiku 4.5: no published LiveBench run, $2.00 per 1M blended tokens, about $740.00/mo for a RAG assistant.

Benchmarked models at or below its price

Claude Haiku 4.5 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 Claude Haiku 4.5Blended / 1MRAG assistantContext
GPT-6.1 Terraopenai

the same list price. Head to head →

77.8—$2.00$720.00/mo1.1M
DeepSeek V4.1 Flash 1017deepseek

74% cheaper. Head to head →

74.0—$0.525−74%$194.40/mo1.0M
Claude Haiku 5.5anthropic

90% cheaper. Head to head →

69.8—$0.200−90%$74.00/mo1M
MiMo-V2.6-Proxiaomi

73% cheaper. Head to head →

68.5—$0.544−73%$227.64/mo1.1M
MiniMax M3.1 Flashminimax

87% cheaper. Head to head →

66.9—$0.262−87%$102.00/mo1.0M
GPT-6 Lunaopenai

90% cheaper. Head to head →

64.6—$0.200−90%$74.00/mo1.1M

Claude Haiku 4.5 alternatives FAQ

What is the best alternative to Claude Haiku 4.5?

GPT-6.1 Terra. the same list price. Every suggestion supports tool calling and image input, like Claude Haiku 4.5.

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 Claude Haiku 4.5 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.