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// alternatives · October 2026

GLM 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, as GLM 5 does.

LiveBench hasn't published a run for GLM 5. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 74.0 overall.

GLM 5: no published LiveBench run, $1.55 per 1M blended tokens, about $672.00/mo for a RAG assistant.

Benchmarked models at or below its price

GLM 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 GLM 5Blended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

66% cheaper. Head to head →

74.0—$0.525−66%$194.40/mo1.0M
Claude Haiku 5.5anthropic

87% cheaper. Head to head →

69.8—$0.200−87%$74.00/mo1M
MiMo-V2.6-Proxiaomi

65% cheaper. Head to head →

68.5—$0.544−65%$227.64/mo1.1M
MiniMax M3.1 Flashminimax

83% cheaper. Head to head →

66.9—$0.262−83%$102.00/mo1.0M
GPT-6 Lunaopenai

87% cheaper. Head to head →

64.6—$0.200−87%$74.00/mo1.1M
GLM 5.3 Flashz-ai

97% cheaper. Head to head →

62.1—$0.053−97%$34.59/mo1.0M

GLM 5 alternatives FAQ

What is the best alternative to GLM 5?

DeepSeek V4.1 Flash 1017. 66% cheaper. Every suggestion supports tool calling, like GLM 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 GLM 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.