DeepSeek V3.2

DeepSeek · Mid

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DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Input / 1M

$0.2288

Output / 1M

$0.3432

Cached input / 1M

Context window

128K

Where it sits

74th-cheapest mid model

by blended $/Mtok among 262 listed mid models

55% below the mid median

blended $/Mtok across 262 mid models

Output costs 1.5× input

$0.2288 in / $0.3432 out per 1M

Held flat since launch (Jun 2026)

no blended price change recorded

Computed live from current prices and this model's history — not hand-written, so it stays accurate as prices move.

Price history

Only one price on record so far — the history chart appears once a price changes.

Snapshots

Effective Input Output Cached in Note Source
11 Jun 2026 $0.2288 $0.3432 Imported from OpenRouter openrouter.ai

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