DeepSeek: DeepSeek V3.2
Model ID: deepseek/deepseek-v3.2
Provider: DeepSeek
Category: Reasoning Model, General Purpose
Release Date: December 1, 2025
Overview
DeepSeek V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use capabilities. It employs DeepSeek Sparse Attention (DSA) technology for cost reduction and performance improvements in long-context scenarios. The system achieved notable competitive results, including gold medals at the 2025 IMO and IOI competitions.
Technical Specifications
| Property | Value |
|---|---|
| Context Length | 163,840 tokens |
| Input Modalities | Text |
| Output Modalities | Text |
| Architecture | Sparse Attention (DSA) |
| Reasoning Support | Yes (configurable) |
Pricing
| Type | Price |
|---|---|
| Input | $0.22 per 1M tokens |
| Output | $0.32 per 1M tokens |
Note: No free tier available
Capabilities
Reasoning
- Configurable thinking tokens for deep reasoning
- Strong mathematical and logical reasoning
- Competitive performance on mathematical competitions (IMO gold)
- Tool-use and agentic capabilities
Input Modalities
- Text only
Output Modalities
- Text only
Key Features
- DeepSeek Sparse Attention (DSA) technology
- Cost-optimized computation
- Configurable reasoning depth
- Long-context support (163,840 tokens)
- Response format control
Supported Parameters
reasoning- Enable/configure reasoningmax_tokens- Maximum output tokenstemperature- Sampling temperaturetop_p- Nucleus sampling parameterseed- Random seed for reproducibilityresponse_format- Control output formatstop- Stop sequences
Use Cases
- Mathematical Problem Solving: Strong performance on complex math
- Scientific Research: Deep reasoning for scientific challenges
- Academic Analysis: Logic puzzles, proofs, and theoretical work
- Code Analysis: Understanding complex code patterns
- Reasoning Tasks: Multi-step logical reasoning
- Competition Problems: IMO/IOI-level problem solving
Limitations
- Text-only input/output (no vision)
- No free tier
- Prompt retention policy may affect privacy-sensitive applications
Related Models
- DeepSeek: DeepSeek V3 (larger variant)
- DeepSeek: DeepSeek V2
- OpenAI: GPT-4 Turbo (alternative for reasoning)
- Anthropic: Claude 3 Opus (alternative)
Performance Metrics
Competition Performance
- IMO 2025: Gold medal
- IOI 2025: Gold medal
- Strong performance in mathematical reasoning and logic puzzles
Usage Statistics (Recent)
- Billions of tokens processed daily
- Consistent deployment across reasoning-intensive tasks
- Reasoning tokens average 15-25% of total completion tokens
Use Case Rankings (Based on Recent Analytics)
| Use Case | Rank | Requests |
|---|---|---|
| Roleplay | 1 | 18,248 |
| Academia | 4 | 1,002 |
| Finance | 7 | 1,390 |
| Science | 8 | 2,891 |
Provider Details
Primary Provider: GMICloud
- Base URL: https://api.langmart.ai/v1
- Quantization: FP8 variant
- Headquarters: US
- Status: Fully operational
Data Policy
- Training: Prohibited
- Prompt Retention: Yes
- Publishing: Not permitted
Competitive Advantages
- Gold medal performance at IMO and IOI 2025
- Cost-effective through Sparse Attention technology
- Strong reasoning capabilities with configurable depth
- Long-context support for document analysis
Additional Notes
- Highly recommended for mathematical and logical reasoning
- DSA technology provides cost advantages for long-context scenarios
- Excellent for academic and scientific applications
- Strong choice for competitive problem-solving applications
- Consider reasoning token usage in cost calculations