DeepSeek V3.2
Where it stands
Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.
About this model
DeepSeek V3.2 is an AI model from DeepSeek, made available through the API on December 1, 2025. It can read up to 163,840 tokens in one request, roughly 307 pages of text, and write up to 65,536 tokens in a single answer.
Through the API it costs $0.28 per million input tokens and $0.42 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.
It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (deepseek-ai/DeepSeek-V3.2), so it can also be downloaded and run on your own hardware.
Quality scores
Rankings →Where to use it
Companies that serve this model through an API: 13. Prices per million tokens, cheapest first.
| Provider | Inputi | Outputi | Contexti | Uptime (24 h)i |
|---|---|---|---|---|
AtlasCloudCheapestfp8 | $0.13 | $0.20 | 160K | 97.1% |
GMICloudfp8 | $0.21 | $0.31 | 160K | 93.7% |
DeepInfrafp4 | $0.26 | $0.38 | 160K | 98.9% |
Venice | $0.27 | $0.39 | 160K | 98.8% |
SiliconFlowfp8 | $0.26 | $0.42 | 160K | 95.0% |
Baidufp8 | $0.28 | $0.42 | 128K | 84.6% |
DigitalOcean | $0.30 | $0.96 | 160K | 97.8% |
Alibabafp8 | $0.37 | $1.11 | 128K | 74.2% |
Friendli | $0.50 | $1.50 | 160K | 99.9% |
Phala | $1 | $1 | 160K | 99.6% |
Google | $0.56 | $1.68 | 160K | 99.4% |
Mara | $3 | $4.50 | 32K | 25.2% |
SambaNova | $3 | $4.50 | 32K | 90.2% |
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call DeepSeek V3.2 through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek/deepseek-v3.2", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="deepseek/deepseek-v3.2",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "deepseek/deepseek-v3.2",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.266
- Summarise a 100-page document$0.014
- An app with 10,000 requests a day for a month$134
Similar-priced alternatives
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|---|---|---|---|---|
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GLM 4.6VZ.ai (Zhipu) | $0.30 | $0.90 | 128K | Compare with ⇄ |
News about DeepSeek
See all →Frequently asked questions
- How much does DeepSeek V3.2 cost?
- DeepSeek V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.266.
- What is the context window of DeepSeek V3.2?
- DeepSeek V3.2 can read up to 163,840 tokens in one request, about 307 pages of text. It can write up to 65,536 tokens in a single answer.
- Is DeepSeek V3.2 open source?
- Yes. Its weights are published (deepseek-ai/DeepSeek-V3.2), so you can download it and run it on your own hardware, or use it through one of 13 API providers.
- Who makes DeepSeek V3.2?
- DeepSeek V3.2 is made by DeepSeek. It became available through the API on December 1, 2025.
- How good is DeepSeek V3.2?
- DeepSeek V3.2 has an overall index of 146.3 in Epoch AI’s independent tests, ranking #64 of 136 models we track.
- Can DeepSeek V3.2 read images?
- No. DeepSeek V3.2 only accepts text as input.
- What are the alternatives to DeepSeek V3.2?
- Models with a similar price from other companies include MiniMax M2.5, Command A+ and Gemini 3.5 Flash Lite. You can compare them side by side on this page.