DeepSeek Reasoner
DeepSeek Reasoner
📌 Model Overview
DeepSeek reasoning model for multi-step analysis, math, coding, and tools
DeepSeek Reasoner is a Open Weights model developed by DeepSeek, released on 2025-12-01. It is designed primarily for Chat Reasoning workloads. Featuring a 1M tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.
✨ Key Features & Capabilities
| Feature | Description |
|---|---|
| Context Window | 1M tokens capacity for extended prompts and multi-turn workflows |
| Primary Task | Optimized for Chat Reasoning |
| Deployment | self-hostable, api-only |
| Modality | text |
| Max Output | Max Output: 384K tokens |
| Native reasoning capability | Native reasoning capability |
| Tool / function calling support | Tool / function calling support |
⚙️ Technical Specifications
| Specification | Details |
|---|---|
| Developer / Lab | DeepSeek |
| Release Date | 2025-12-01 |
| Model Type | Open Weights |
| Parameters | Undisclosed |
| Context Window | 1M tokens |
| License | MIT |
| Model Family | deepseek-thinking |
📊 Benchmarks & Performance
| Benchmark | Score | Source |
|---|---|---|
| Aider Polyglot | 74.2% | Independent Eval |
💰 Pricing
| Tier / Unit | Rate (USD) |
|---|---|
| 1M input tokens | $0.435 |
| 1M output tokens | $0.87 |
| 1M cache read tokens | $0.028 |
🔗 Resources & Links
| Resource | Link |
|---|---|
| Hugging Face | https://huggingface.co/deepseek-ai/DeepSeek-V3.2 |
📜 License & Usage
This model is governed by the MIT license. Please check official developer guidelines before commercial deployment.
Key Features
Max Output: 384K tokens
Native reasoning capability
Tool / function calling support
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Verified Sources
Tags
Model Specs
Parameters
Undisclosed
Context Window
1M tokens
License
MIT
Deployment
Pricing
- 1M input tokens$0.435
- 1M output tokens$0.87
- 1M cache read tokens$0.028
as of 2026-07-26
Resources & Links
Lineage
Curator Notes
Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.
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