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// alternatives · October 2026

DeepSeek V4.1 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 DeepSeek V4.1 Flash does.

LiveBench hasn't published a run for DeepSeek V4.1 Flash. The strongest benchmarked model at a similar or lower price is Claude Haiku 5.5, scoring 69.8 overall.

DeepSeek V4.1 Flash: no published LiveBench run, $0.210 per 1M blended tokens, about $82.88/mo for a RAG assistant.

Benchmarked models at or below its price

DeepSeek V4.1 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 DeepSeek V4.1 FlashBlended / 1MRAG assistantContext
Claude Haiku 5.5anthropic

5% cheaper. Head to head →

69.8—$0.200−5%$74.00/mo1M
MiniMax M3.1 Flashminimax

25% more expensive. Head to head →

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

5% cheaper. Head to head →

64.6—$0.200−5%$74.00/mo1.1M
GLM 5.3 Flashz-ai

75% cheaper. Head to head →

62.1—$0.053−75%$34.59/mo1.0M
Nemotron 3.5 Super VLnvidia

13% more expensive. Head to head →

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

19% more expensive. Head to head →

38.7—$0.250$184.00/mo262K

DeepSeek V4.1 Flash alternatives FAQ

What is the best alternative to DeepSeek V4.1 Flash?

Claude Haiku 5.5. 5% cheaper. Every suggestion supports tool calling and image input, like DeepSeek V4.1 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 DeepSeek V4.1 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.