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// alternatives · October 2026

Qwen3 VL 8B Instruct 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 Qwen3 VL 8B Instruct does.

LiveBench hasn't published a run for Qwen3 VL 8B Instruct. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.

Qwen3 VL 8B Instruct: no published LiveBench run, $0.375 per 1M blended tokens, about $193.00/mo for a RAG assistant.

Benchmarked models at or below its price

Qwen3 VL 8B Instruct 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 Qwen3 VL 8B InstructBlended / 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

Qwen3 VL 8B Instruct alternatives FAQ

What is the best alternative to Qwen3 VL 8B Instruct?

Claude Haiku 5.5. 47% cheaper. Every suggestion supports tool calling and image input, like Qwen3 VL 8B Instruct.

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 Qwen3 VL 8B Instruct 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.