---
title: "DeepSeek: DeepSeek V3.2 Exp — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/deepseek__deepseek-v3.2-exp/
description: "DeepSeek: DeepSeek V3.2 Exp: $0.270/M in, $0.410/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# DeepSeek: DeepSeek V3.2 Exp — price, capability and what beats it · Undominated.ai

> DeepSeek: DeepSeek V3.2 Exp: $0.270/M in, $0.410/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / DeepSeek

# DeepSeek V3.2 Exp

DeepSeek · released 2025-09-29

 $0.305 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## No independent quality score.

No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.

### Every price dimension

| Input | $0.270 /M |
| --- | --- |
| Output | $0.410 /M |

### Independent scores

| LMArena Elo | 1424.4 thinking |
| --- | --- |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

### Capability

| Context window | 164K |
| --- | --- |
| Max output | 66K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
| Knowledge cutoff | 2025-07-31 |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | unrated |

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...