DeepSeek V3 0324 — DeepSeek | Modeldex

DeepSeek V3 0324

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DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

Updated 4 days agoStructured data from Modeldex catalog

Budget

Knowledge cutoff

Jul 31, 2024(1.7 years ago)

API release

Mar 24, 2025(1.1 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

DeepSeek V3 0324 became available via the DeepSeek API on 2025-03-24.

Training & availability

Training data has a knowledge cutoff of 2024-07-31 — information about events after that date is unlikely to appear in the model's responses. DeepSeek has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 163K tokens.
Input modalities: text.

Recommended for: cheap.

Limitations

The knowledge cutoff is 20 months old — this model will not know about recent events, releases, or API changes.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.2000 per 1M tokens
Output: $0.7700 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="deepseek/deepseek-chat-v3-0324",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.2/1M

Output tokens / month2.0M

@ $0.77/1M

Input cost

5.0M × $0.2/1M

Output cost

$1.54

2.0M × $0.77/1M

Total / month

$2.54

$30.48 / year

Providers & performance

7 providers

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Novita	27tok/s	1.19s	$0.27	$1.12	164K	fp8	tools
ModelRun	23tok/s	1.85s	$0.22	$0.8	164K	fp4	—
AtlasCloud	20tok/s

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

581.4K/ month

HuggingFace likes

3.1K

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.