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// alternatives · October 2026

Venice: Uncensored 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.

LiveBench hasn't published a run for Venice: Uncensored. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.

Venice: Uncensored: no published LiveBench run, $0.375 per 1M blended tokens, about $214.00/mo for a RAG assistant.

Benchmarked models at or below its price

Venice: Uncensored 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 Venice: UncensoredBlended / 1MRAG assistantContext
Claude Haiku 5.5anthropic

47% cheaper. Head to head →

69.8—$0.200−47%$74.00/mo1M
MiniMax M3.1 Flashminimax

30% cheaper. Head to head →

66.9—$0.262−30%$102.00/mo1.0M
GPT-6 Lunaopenai

47% cheaper. Head to head →

64.6—$0.200−47%$74.00/mo1.1M
GLM 5.3 Flashz-ai

86% cheaper. Head to head →

62.1—$0.053−86%$34.59/mo1.0M
Qwen3.8 27Bqwen

9% cheaper. Head to head →

58.4—$0.342−9%$92.16/mo1M
Nemotron 3.5 Super VLnvidia

37% cheaper. Head to head →

50.2—$0.237−37%$98.00/mo1.0M

Venice: Uncensored alternatives FAQ

What is the best alternative to Venice: Uncensored?

Claude Haiku 5.5. 47% cheaper.

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 Venice: Uncensored 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.