DeepSeek V3 (0324)

by DeepSeek
Versions:DeepSeek V3 (0324)DeepSeek V3

Released 64 days after DeepSeek R1 Distill LLama 70B · All DeepSeek releases

DeepSeek-V3-0324 is the March 2025 checkpoint of DeepSeek-V3, released as a minor update that delivered substantial gains. It carries 685 billion total parameters with 37 billion active per token and supports a 163,840-token context window for long-document processing. The refresh reused the V3 base while improving the post-training pipeline, lifting benchmark scores notably on reasoning and coding, including MMLU-Pro (75.9 to 81.2), GPQA (59.1 to 68.4), AIME (39.6 to 59.4), and LiveCodeBench (39.2 to 49.2). At release it ranked among the strongest open-weight non-reasoning models on independent benchmarks. It remains a direct-answer model rather than a chain-of-thought reasoner, with strengthened tool-use support, making it well suited to coding assistants and agentic workflows that prioritize fast, capable responses without proprietary lock-in.

Call DeepSeek V3 (0324) on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Key info

Input
Output
Features
Context window
164K
Max output
164K
Input price
$0.24 /1M$0.14 cache read
Output price
$0.90 /1M
Released
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

DeepSeek V3 (0324) runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutputCache read
USNo$0.24$0.90$0.14

Uptime and availability

DeepSeek V3 (0324) runs on a single route through the Opper gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting DeepSeek V3 (0324) has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
No classifier
GDPR DPA
DPA available
Transfer mechanism
unknown

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Intelligence Index9.7
Coding Index21.2
Math Index41.0
Reasoning & knowledge
MMLU-Pro
82%
GPQA Diamond
66%
Humanity's Last Exam
5%
Long-context reasoning
41%
Coding
LiveCodeBench
41%
SciCode
39%
Agentic & tool use
Terminal-Bench Hard
15%
τ²-Bench Telecom
47%
Math & instruction following
AIME 2025
41%
IFBench
41%

Get started

Call DeepSeek V3 (0324) through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

DeepSeek V3 (0324) is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

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: "deepinfra/deepseek-ai/DeepSeek-V3-0324",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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