---
title: "Is DeepSeek V3.2 still undominated? · Undominated.ai"
canonical: https://undominated.ai/check/deepseek__deepseek-v3.2/
description: "DeepSeek V3.2: 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 still undominated? · Undominated.ai

> DeepSeek V3.2: 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 a good deal?

Whether anything in this catalogue beats DeepSeek V3.2 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 is dominated for Balanced on LMArena. GLM 5.3 Flash scores 47.1 higher and costs 21% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated.

[Inspect model evidence](/models/deepseek__deepseek-v3.2/) [Compare differences & requirements](/compare/?models=deepseek%2Fdeepseek-v3.2%2Cz-ai%2Fglm-5.3-flash)

 Current model

DeepSeek V3.2

 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: 47.1 points higher on LMArena and 21% less per million tokens, $0.06 cheaper at this mix.

 [DeepSeek V3.2](https://undominated.ai/models/deepseek__deepseek-v3.2/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1424.8

Effective $/M · Balanced · lower is better

 **

$0.302/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 takes text, returns up to 65,536 tokens from a 163,840-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: 5 models dominate it and give up nothing, 1 more dominates it but gives something up. DeepSeek V3.2 scores 1424.8 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 +47.1 | $0.237/M | 21% |
| [Hy3](/models/tencent__hy3/) | 1440.6 +15.8 | $0.144/M | 52% |
| [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1434.5 +9.7 | $0.143/M | 53% |
| [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1431.8 +7.0 | $0.103/M | 66% |
| [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) | 1427.4 +2.6 | $0.175/M | 42% |

## 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/)
