DeepSeek-V3.2
DeepSeek-V3.2 reasoning model for math, coding, and tool-use workflows with cost-efficient pricing and OpenAI-compatible API.
DeepSeek-V3.2 is DeepSeek’s latest reasoning-optimized model in the V3 series, offering an exceptional balance of capability and cost. At $0.25 per million input tokens and $0.40 per million output tokens, it is significantly cheaper than comparable models from OpenAI, Anthropic, and Google while delivering strong performance on math, coding, and tool-use benchmarks.
The model supports both thinking and non-thinking modes with a 163,840-token input context window (65,536 output tokens). A key differentiator is tool-use support within thinking mode — allowing the model to reason through a problem while planning tool calls, then execute them without resetting the reasoning state. Independent benchmarks show V3.2 has lower hallucination rates than several leading competitors including Gemini 3.1 Pro and Claude Opus 4.6.
For teams already using OpenAI-compatible SDKs, DeepSeek-V3.2 integrates with minimal code changes since it exposes an OpenAI-compatible API. It is available both as a hosted API through DeepSeek’s platform and as an open-weight model for self-hosted deployment via vLLM, SGLang, and other serving frameworks.
| Provider | DeepSeek |
|---|---|
| Context Window | 163840 |
| Pricing | Pricing verified from DeepSeek API documentation as of December 2025. Re-verify before production use. |
| API Style | OpenAI-compatible API style |
| SDK | OpenAI compatible SDK, custom HTTP client |
| MCP | Works through OpenAI-compatible client patterns and agent adapters. |
| Agent | Good fit for cost-sensitive coding agents and OpenAI-compatible workflow experiments. |
| RAG | Suitable for RAG orchestration when paired with external retrieval and source validation. |
| Source Freshness | recently_verified |
| Version Status | current |
| Version Boundary | DeepSeek-V3.2 (released December 2025) is the latest V3-series reasoning model. Key improvements include tool-use in thinking mode and lower hallucination rates compared to leading competitors. V3.2 costs $0.25/M input and $0.40/M output — significantly cheaper than comparable Claude or GPT models. |
Key Facts
- DeepSeek-V3.2 excels in math and coding benchmarks at a fraction of competitor pricing.
- Supports tool-use in both thinking and non-thinking modes.
- Has lower hallucination rates than several leading models including Gemini 3.1 and Claude Opus 4.6.
- Context window: 163,840 tokens input / 65,536 tokens output.
- DeepSeek R1 (January 2025) is a separate reasoning-specialized model in the DeepSeek lineup.
Best For
Not Ideal For
Capability Matrix
| Capability | Status |
|---|---|
| Coding | Strong |
| Reasoning | Strong |
| Function Calling | Supported |
| Tool Use (with thinking mode) | Supported |
| OpenAI Compatible | Supported |
SEO
| SEO Title | DeepSeek-V3.2 API, Pricing, SDK, MCP & Agent Compatibility |
|---|---|
| Description | DeepSeek-V3.2 by DeepSeek: DeepSeek-V3.2 reasoning model for math, coding, and tool-use workflows with cost-efficient pricing and OpenAI-compatible API. |
| Canonical | /model/deepseek-v3-1 |
| Updated | 2026-05-21 |
Related Pages
- AI Model Directory
- Compatibility Matrix
- FAQ Index
- Best AI Models for Agent Workflows
- Best AI Models for Code Review
- Best AI Models for Coding
- Best AI Models for Cost-Sensitive Generation
- Best AI Models for Low-Latency Generation
- Best AI Models for Open-Weight Deployment
- Best AI Models for OpenAI-Compatible Integration
- DeepSeek-V3.2 vs Gemini Pro
- DeepSeek-V3.2 vs GPT-5.5
- DeepSeek-V3.2 vs Mistral Medium 3.5
- DeepSeek-V3.2 vs Mistral Large 3
Compare
| Comparison | Compared With |
|---|---|
| DeepSeek-V3.2 vs Gemini Pro | Gemini Pro |
| DeepSeek-V3.2 vs GPT-5.5 | GPT-5.5 |
| DeepSeek-V3.2 vs Mistral Medium 3.5 | Mistral Medium 3.5 |
| DeepSeek-V3.2 vs Mistral Large 3 | Mistral Large 3 |
| DeepSeek-V3.2 vs OpenAI o3 / o4-mini | OpenAI o3 / o4-mini |
Compatibility Facts
| Layer | Target | Status | Evidence | Updated |
|---|---|---|---|---|
| sdk | openai-compatible-sdk | supported | DeepSeek model entries include OpenAI-compatible API style and GitHub model-family references. | 2026-05-18 |
FAQ
| What is DeepSeek-V3.2? | DeepSeek-V3.2 is a cost-efficient reasoning model for math, coding, and tool-use workflows. It uses an OpenAI-compatible API and offers 163,840-token input context. Verify current pricing, aliases, and availability in official DeepSeek documentation. |
|---|---|
| What is DeepSeek-V3.2 best for? | DeepSeek-V3.2 is best for coding, agent workflow, cost-sensitive generation, OpenAI-compatible integration. |
| How should DeepSeek-V3.2 be verified before production use? | Check current pricing, availability, limits, and API behavior against the listed official and GitHub sources. This entry was updated on 2026-05-21. |
| When should an OpenAI-compatible SDK path be preferred? | An OpenAI-compatible SDK path is useful when a team already has OpenAI-style clients or Agent runtimes, but provider-specific behavior must still be verified. |
| When should I choose a reasoning-optimized model over a general-purpose model? | Reasoning-optimized models (OpenAI o3/o4-mini, DeepSeek-V3.2) excel at math, science, multi-step analysis, and complex coding tasks where careful chain-of-thought reasoning improves accuracy. General-purpose models (GPT-5.5, Claude Sonnet 4.6, Gemini 3.1 Pro) are better for everyday chat, content generation, and tasks where speed and cost matter more than deep reasoning. For agent workflows, consider whether the task requires multi-step planning (use reasoning) or tool-use throughput (use general-purpose). |
Relationship Facts
| Source | Type | Target | Confidence |
|---|---|---|---|
| deepseek-v3-1 | best_for | cost-sensitive-generation | 0.76 |
| deepseek-v3-1 | best_for | openai-compatible-integration | 0.76 |
| deepseek-v3-1 | works_with | openai-compatible-sdk | 0.78 |
Sources
| Name | Type | Citation | Last Verified |
|---|---|---|---|
| DeepSeek API Documentation | docs | Official DeepSeek API documentation for V3.2 model availability, pricing, and API compatibility. | 2026-05-21 |
| DeepSeek GitHub | github | GitHub model-family reference for DeepSeek open model materials; API behavior should still be verified in official docs. | 2026-05-21 |
External Resources
- DeepSeek API Documentation — Official DeepSeek API documentation for V3.2 model availability, pricing, and API compatibility.
- DeepSeek GitHub — GitHub model-family reference for DeepSeek open model materials; API behavior should still be verified in official docs.