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// alternatives · October 2026

Qwen3 Coder Next 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 Qwen3 Coder Next does.

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

Qwen3 Coder Next: no published LiveBench run, $0.290 per 1M blended tokens, about $124.00/mo for a RAG assistant.

Benchmarked models at or below its price

Qwen3 Coder Next 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 Coder NextBlended / 1MRAG assistantContext
Claude Haiku 5.5anthropic

31% cheaper. Head to head →

69.8—$0.200−31%$74.00/mo1M
MiniMax M3.1 Flashminimax

9% cheaper. Head to head →

66.9—$0.262−9%$102.00/mo1.0M
GPT-6 Lunaopenai

31% cheaper. Head to head →

64.6—$0.200−31%$74.00/mo1.1M
GLM 5.3 Flashz-ai

82% cheaper. Head to head →

62.1—$0.053−82%$34.59/mo1.0M
Qwen3.8 27Bqwen

18% more expensive. Head to head →

58.4—$0.342$92.16/mo1M
Nemotron 3.5 Super VLnvidia

18% cheaper. Head to head →

50.2—$0.237−18%$98.00/mo1.0M

Qwen3 Coder Next alternatives FAQ

What is the best alternative to Qwen3 Coder Next?

Claude Haiku 5.5. 31% cheaper. Every suggestion supports tool calling, like Qwen3 Coder Next.

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 Coder Next 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.