DeepSeek V3 0324 APIOPEN WEIGHTS164K context
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is DeepSeek V3 0324?
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...
DeepSeek V3 0324 on the release timeline
DeepSeek V3 0324 pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| DeepSeek V3 0324 | $0.24 | $0.90 | $0.14 | — | 164K |
On output price, DeepSeek V3 0324 is cheaper than 63% of the 309 models in the catalog. It is served by 4 providers; the best combined rate at our last snapshot was ≈ $0.24 / $0.90 per 1M via DeepInfra, with upstream quantizations fp4, fp8.
What DeepSeek V3 0324 costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $20.40 |
| RAG / knowledge base | 200M / 20M | $66.00 |
| Coding agent | 80M / 25M | $41.70 |
| Batch extraction | 150M / 8M | $43.20 |
| Content generation | 20M / 40M | $40.80 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
DeepSeek V3 0324 vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| DeepSeek V3 0324 | $0.24 | $0.90 | 164K | — |
| DeepSeek V4 Pro | $0.43 | $0.87 | 1M | 8/9 |
| DeepSeek V3.1 Terminus | $0.27 | $0.95 | 164K | — |
| DeepSeek V3 | $0.20 | $0.80 | 131K | — |
| Codestral 2508 | $0.30 | $0.90 | 256K | — |
| GLM 4.6V | $0.30 | $0.90 | 131K | — |
Specs
| Model ID | deepseek/deepseek-chat-v3-0324 |
| Modality | text->text (input: text) |
| Context window | 163,840 tokens |
| Max output | 16,384 tokens |
| Tool / function calling | ✅ Yes |
| Structured output (JSON) | ✅ Yes |
| Released | 2025-03-24 |
| Knowledge cutoff | 2024-07-31 |
| Open weights | ✅ deepseek-ai/DeepSeek-V3-0324 · 1.1M downloads / 3.1K likes (30d) |
How to call DeepSeek V3 0324
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="deepseek/deepseek-chat-v3-0324",
messages=[{"role": "user", "content": "Hello"}],
# supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek/deepseek-chat-v3-0324","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "deepseek/deepseek-chat-v3-0324",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes DeepSeek V3 0324 and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for DeepSeek V3 0324
- Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — DeepSeek V3 0324 follows concrete instructions better than abstract ones.
- Give it real tools. Pass a
tools=[...]schema instead of asking it to "pretend" — let DeepSeek V3 0324 emit tool calls, execute them, and feed results back for the next turn. - Constrain JSON with a schema. Use
response_format/ structured outputs rather than "reply in JSON" to get valid, parseable objects every time.
Tips are derived from DeepSeek V3 0324's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for DeepSeek V3 0324
Popular open-source projects for running and building with DeepSeek V3 0324 — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (inference engines, agent frameworks and SDKs), not affiliation. Stars change — see each repo for current numbers.
Migrating to DeepSeek V3 0324
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → deepseek/deepseek-chat-v3-0324. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.
Self-host or use the API?
DeepSeek V3 0324 ships open weights (deepseek-ai/DeepSeek-V3-0324, ~1.1M downloads and 3.1K likes in the last 30 days), with community quantizations (fp4, fp8) for smaller GPUs, so you can run it yourself. Most teams still use the API: no GPU to provision or keep warm, no inference ops, and instant access across 4 providers with automatic failover. Self-host when data residency or fixed per-token economics matter most.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff; because DeepSeek V3 0324 is served by 4 providers, requests can fail over to a healthy one automatically. See the error-code guide and failover setup.
Related reading
Call DeepSeek V3 0324 with one key
300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.
Get an API keyCompare pricingFrequently asked questions
What is DeepSeek V3 0324?
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It accepts text input with a 164K-token context window and was released on 2025-03-24. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does DeepSeek V3 0324 cost?
On DataLLM Lab it is $0.24 per 1M input tokens and $0.90 per 1M output tokens, with cached input at $0.14/1M — cheaper than about 63% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of DeepSeek V3 0324?
164K tokens, with up to 16K max output tokens.
Is DeepSeek V3 0324 open source?
Yes — open weights are published on Hugging Face (deepseek-ai/DeepSeek-V3-0324), with about 1.1M downloads and 3.1K likes in the last 30 days. You can self-host it or call it via DataLLM Lab.
How do I call the DeepSeek V3 0324 API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "deepseek/deepseek-chat-v3-0324". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to DeepSeek V3 0324?
Close options by price and capability include DeepSeek V4 Pro, DeepSeek V3.1 Terminus, DeepSeek V3 — all callable with the same DataLLM Lab key.