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DeepSeek: DeepSeek V3.2 Exp Coding Benchmark

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...

Context163,840tokens
Max Output65,536tokens
Inputmodality
Price$0.27/1M input
Ranks from Kilo Code LeaderboardPricing via OpenRouter

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Real-World Usage

Real-world usage statistics from the Kilo Code community

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Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.27
per 1M tokens
Output Tokens
$0.41
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0149

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
deepseek/deepseek-v3.2-exp
Created
September 29, 2025
Tokenizer
DeepSeek
Input Modalities
Text
Context Window
163,840 tokens
Max Completion Tokens
65,536 tokens
Input Price
$0.27 per 1M tokens
Output Price
$0.41 per 1M tokens
Content Moderation
Disabled

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