--- title: "Is DeepSeek V4 Flash 0423 still undominated? · Undominated.ai" canonical: https://undominated.ai/check/deepseek__deepseek-v4-flash/ description: "DeepSeek V4 Flash 0423: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated." --- # Is DeepSeek V4 Flash 0423 still undominated? · Undominated.ai > DeepSeek V4 Flash 0423: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated. # Is DeepSeek V4 Flash 0423 a good deal? Whether anything in this catalogue beats DeepSeek V4 Flash 0423 on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 13 undominated of 136 · Sep 23, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Sep 23, 2026, DeepSeek V4 Flash 0423 is on the value frontier for Balanced on LMArena. Nothing in this catalogue is both higher-scoring and cheaper with a covering envelope. 13 of 136 rated, priced standard models are undominated. [Inspect model evidence](/models/deepseek__deepseek-v4-flash/) Current model DeepSeek V4 Flash 0423 Balanced 3 tokens in per 1 out Balanced Summarise Chat Code gen Agentic Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD) Nothing in this catalogue is both better and cheaper, with a capability envelope that covers DeepSeek V4 Flash 0423. DeepSeek V4 Flash 0423 takes text, returns up to 384,000 tokens from a 1,048,576-token context, and is listed by 15 sellers. Open weights, so it can also be self-hosted. Compared against 136 rated, priced models on this lens, nothing dominates it: no model is at least as good on both quality and price and better on one. DeepSeek V4 Flash 0423 scores 1431.8 at $0.10 per million tokens for this mix. 136 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase. Copy watch URL [Open the frontier](/frontier/) The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link. ## Saved decision references Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications. Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs. Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored. Save this reference ## Continue your investigation - [Build a shortlist](/compare/) - [Inspect alternatives](/alternatives/) - [Check billing conditions](/traps/) - [Read model evidence](/models/)