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// alternatives · October 2026

Particle-1 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 Particle-1 does.

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

Particle-1: no published LiveBench run, $0.438 per 1M blended tokens, about $172.00/mo for a RAG assistant.

Benchmarked models at or below its price

Particle-1 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 Particle-1Blended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

40% cheaper. Head to head →

74.0—$0.262−40%$97.20/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

90% cheaper. Head to head →

62.1—$0.045−90%$26.97/mo1.0M

Particle-1 alternatives FAQ

What is the best alternative to Particle-1?

DeepSeek V4.1 Flash 1017. 40% cheaper. Every suggestion supports tool calling and image input, like Particle-1.

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 Particle-1 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.