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// alternatives · October 2026

DeepSeek V4 Pro 0423 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 DeepSeek V4 Pro 0423 does.

LiveBench hasn't published a run for DeepSeek V4 Pro 0423. The strongest benchmarked model at a similar or lower price is DeepSeek V4.1 Flash 1017, scoring 74.0 overall.

DeepSeek V4 Pro 0423: no published LiveBench run, $1.19 per 1M blended tokens, about $528.58/mo for a RAG assistant.

Benchmarked models at or below its price

DeepSeek V4 Pro 0423 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 Pro 0423Blended / 1MRAG assistantContext
DeepSeek V4.1 Flash 1017deepseek

56% cheaper. Head to head →

74.0—$0.525−56%$194.40/mo1.0M
Claude Haiku 5.5anthropic

83% cheaper. Head to head →

69.8—$0.200−83%$74.00/mo1M
MiMo-V2.6-Proxiaomi

54% cheaper. Head to head →

68.5—$0.544−54%$227.64/mo1.1M
MiniMax M3.1 Flashminimax

78% cheaper. Head to head →

66.9—$0.262−78%$102.00/mo1.0M
GPT-6 Lunaopenai

83% cheaper. Head to head →

64.6—$0.200−83%$74.00/mo1.1M
GLM 5.3 Flashz-ai

96% cheaper. Head to head →

62.1—$0.053−96%$34.59/mo1.0M

DeepSeek V4 Pro 0423 alternatives FAQ

What is the best alternative to DeepSeek V4 Pro 0423?

DeepSeek V4.1 Flash 1017. 56% cheaper. Every suggestion supports tool calling, like DeepSeek V4 Pro 0423.

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 Pro 0423 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.