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// alternatives · October 2026

GLM 5 Turbo 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 Turbo does.

LiveBench hasn't published a run for GLM 5 Turbo. The strongest benchmarked model at a similar or lower price is GPT-6.1 Terra, scoring 77.8 overall.

GLM 5 Turbo: no published LiveBench run, $1.90 per 1M blended tokens, about $816.00/mo for a RAG assistant.

Benchmarked models at or below its price

GLM 5 Turbo 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 5 TurboBlended / 1MRAG assistantContext
GPT-6.1 Terraopenai

5% more expensive. Head to head →

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

72% cheaper. Head to head →

74.0—$0.525−72%$194.40/mo1.0M
Claude Haiku 5.5anthropic

89% cheaper. Head to head →

69.8—$0.200−89%$74.00/mo1M
MiMo-V2.6-Proxiaomi

71% cheaper. Head to head →

68.5—$0.544−71%$227.64/mo1.1M
MiniMax M3.1 Flashminimax

86% cheaper. Head to head →

66.9—$0.262−86%$102.00/mo1.0M
GPT-6 Lunaopenai

89% cheaper. Head to head →

64.6—$0.200−89%$74.00/mo1.1M

GLM 5 Turbo alternatives FAQ

What is the best alternative to GLM 5 Turbo?

GPT-6.1 Terra. 5% more expensive. Every suggestion supports tool calling, like GLM 5 Turbo.

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 Turbo 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.