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// alternatives · October 2026

Beam 1.0 501B A23B 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 Beam 1.0 501B A23B does.

LiveBench hasn't published a run for Beam 1.0 501B A23B. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 74.0 overall.

Beam 1.0 501B A23B: no published LiveBench run, $0.438 per 1M blended tokens, about $180.00/mo for a RAG assistant.

Benchmarked models at or below its price

Beam 1.0 501B A23B 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 Beam 1.0 501B A23BBlended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

20% more expensive. Head to head →

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

54% cheaper. Head to head →

69.8—$0.200−54%$74.00/mo1M
MiMo-V2.6-Proxiaomi

24% more expensive. Head to head →

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

40% cheaper. Head to head →

66.9—$0.262−40%$102.00/mo1.0M
GPT-6 Lunaopenai

54% cheaper. Head to head →

64.6—$0.200−54%$74.00/mo1.1M
GLM 5.3 Flashz-ai

88% cheaper. Head to head →

62.1—$0.053−88%$34.59/mo1.0M

Beam 1.0 501B A23B alternatives FAQ

What is the best alternative to Beam 1.0 501B A23B?

DeepSeek V4.1 Flash 1017. 20% more expensive. Every suggestion supports tool calling, like Beam 1.0 501B A23B.

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 Beam 1.0 501B A23B 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.