OpenRouter
Catalog quote- Input
- $0.27
- Output
- $0.41
deepseekListed Sep 29, 2025
DeepSeek: DeepSeek V3.2 Exp
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...
Context window163.8K
Max output147.5K
Provider endpoints3
Benchmark results0
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
3 quotesPrices across providers
Your token mix
USD · listed token ratesExperiential
Standard list rate
- Input
- $0.27
- Output
- $0.41
- Cached input
- $0.27
Catalog list rate. Plan allowances and temporary discounts are separate.
- Input
- $0.27
- Output
- $0.41
Model specifications
- Developer
- deepseek
- Modality
- Language
- Context
- 163,840 tokens
- Maximum output
- 147,456 tokens
- Weights
- Open weights
- Provider listed
- Sep 29, 2025
- First discovered
- Oct 16, 2026
Exact identities
- openrouter
deepseek/deepseek-v3.2-exp - experiential
deepseek-v3.2-exp
Sources
Updated Oct 18, 2026
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$0.05in$0.15out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4
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Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.
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