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// alternatives · October 2026

Qwen3.8 Omni Flash 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 Qwen3.8 Omni Flash does.

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

Qwen3.8 Omni Flash: no published LiveBench run, $0.230 per 1M blended tokens, about $94.60/mo for a RAG assistant.

Benchmarked models at or below its price

Qwen3.8 Omni Flash 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 Qwen3.8 Omni FlashBlended / 1MRAG assistantContext
Claude Haiku 5.5anthropic

13% cheaper. Head to head →

69.8—$0.200−13%$74.00/mo1M
MiniMax M3.1 Flashminimax

14% more expensive. Head to head →

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

13% cheaper. Head to head →

64.6—$0.200−13%$74.00/mo1.1M
GLM 5.3 Flashz-ai

77% cheaper. Head to head →

62.1—$0.053−77%$34.59/mo1.0M
Nemotron 3.5 Super VLnvidia

3% more expensive. Head to head →

50.2—$0.237$98.00/mo1.0M
Gemma 4 31Bgoogle

9% more expensive. Head to head →

38.7—$0.250$184.00/mo262K

Qwen3.8 Omni Flash alternatives FAQ

What is the best alternative to Qwen3.8 Omni Flash?

Claude Haiku 5.5. 13% cheaper. Every suggestion supports tool calling and image input, like Qwen3.8 Omni Flash.

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 Qwen3.8 Omni Flash 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.