--- title: "Is DeepSeek V3.2 Exp still undominated? · Undominated.ai" canonical: https://undominated.ai/check/deepseek__deepseek-v3.2-exp/ description: "DeepSeek V3.2 Exp: 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 V3.2 Exp still undominated? · Undominated.ai > DeepSeek V3.2 Exp: 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 V3.2 Exp a good deal? Whether anything in this catalogue beats DeepSeek V3.2 Exp 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 V3.2 Exp is dominated for Balanced on LMArena. GLM 5.3 Flash scores 49.3 higher and costs 22% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated. [Inspect model evidence](/models/deepseek__deepseek-v3.2-exp/) [Compare differences & requirements](/compare/?models=deepseek%2Fdeepseek-v3.2-exp%2Cz-ai%2Fglm-5.3-flash) Current model DeepSeek V3.2 Exp 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) GLM 5.3 Flash is both better and cheaper than DeepSeek V3.2 Exp: 49.3 points higher on LMArena and 22% less per million tokens, $0.07 cheaper at this mix. [DeepSeek V3.2 Exp](https://undominated.ai/models/deepseek__deepseek-v3.2-exp/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1422.6 Effective $/M · Balanced · lower is better ** $0.305/M [GLM 5.3 Flash](https://undominated.ai/models/z-ai__glm-5.3-flash/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1471.9 Effective $/M · Balanced · lower is better ** $0.237/M DeepSeek V3.2 Exp takes text, returns up to 65,536 tokens from a 163,840-token context, and is listed by 3 sellers. Compared against 136 rated, priced models on this lens: 6 models dominate it and give up nothing, 1 more dominates it but gives something up. DeepSeek V3.2 Exp scores 1422.6 at $0.30 per million tokens for this mix. ## Envelope-safe replacements Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here. | Model | LMArena | Effective $/M | You save | | --- | --- | --- | --- | | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1471.9 +49.3 | $0.237/M | 22% | | [Hy3](/models/tencent__hy3/) | 1440.6 +18.0 | $0.144/M | 53% | | [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1434.5 +11.9 | $0.143/M | 53% | | [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1431.8 +9.2 | $0.103/M | 66% | | [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) | 1427.4 +4.8 | $0.175/M | 43% | | [DeepSeek V3.2](/models/deepseek__deepseek-v3.2/) | 1424.8 +2.2 | $0.302/M | 1% | ## Higher score, lower price, named losses Not a drop-in. The loss is why these are not a recommendation. | Model | LMArena | Effective $/M | You give up | | --- | --- | --- | --- | | [Gemma 4 31B](/models/google__gemma-4-31b-it/) | 1441.7 | $0.153/M | max output | 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/)