DeepSeek-V3.2 Fast is a throughput-optimized inference deployment of DeepSeek-V3.2 that prioritizes latency and speed. It keeps the same 671-billion-parameter sparse MoE architecture with 37 billion active parameters per token and a 163K-token context. It targets latency-sensitive, real-time applications where fast responses matter more than squeezing out maximum capability. Teams can choose the standard V3.2 for peak quality or this Fast configuration when speed is the priority. Like the standard model, it retains V3.2's integrated reasoning and tool-use across both thinking and non-thinking modes, so faster serving does not give up the core agentic capabilities.
DeepSeek V3.2 Fast runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| Nebius | US | Enterprise | No | $0.40 | $2.00 |
Training posture across routes: No training on prompts by default.
Each route hosting DeepSeek V3.2 Fast has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Call DeepSeek V3.2 Fast through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "nebius/deepseek-v3.2-fast",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
