DeepSeek V3.2
VerifiedOpen-weight LLM built for long-context text reasoning and coding.
About DeepSeek V3.2
DeepSeek V3.2 follows a transformer-based architecture optimized for extended context handling. Its open-weight release allows full local deployment and fine-tuning without usage restrictions. The design prioritizes efficiency in processing lengthy documents and multi-turn conversations.
Strengths include strong performance on technical writing, code generation, and analytical reasoning over large inputs. Users benefit from the absence of proprietary API limits when running the model on their own hardware. Typical applications range from software development assistance to academic research involving extensive text corpora.
Capabilities
How DeepSeek V3.2 compares
DeepSeek V3.2 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · DeepSeek V3.2 ranks #18 of 72
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-document analysis
Processes inputs up to 131072 tokens, enabling review of full-length reports, books, or code repositories in a single pass.
Technical coding tasks
Handles multi-file codebases and complex programming problems while maintaining coherence across extended contexts.
Extended conversation threads
Maintains context over very long dialogues, supporting ongoing technical discussions or iterative problem-solving sessions.
Strengths & limitations
Strengths
- +Strong coding performance
- +Efficient long-context handling
- +Solid reasoning capabilities
- +Accessible model design
Limitations
- –Text-only modality
- –No built-in vision support
- –Standard LLM hallucination risks
Cost calculator
Estimate what DeepSeek V3.2 would cost for your usage.
Based on DeepSeek V3.2's $0.23/1M input · $0.34/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "deepseek/deepseek-v3.2",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: deepseek/deepseek-v3.2
Editor's verdict
DeepSeek V3.2 is DeepSeek's open-weight language models with a 131K-token context window.
At $0.34 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong coding performance and efficient long-context handling.
Frequently asked questions
The model supports a context window of 131072 tokens.
User reviews
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