BytePlus: DeepSeek V4 Pro
byteplus/deepseek-v4-pro-260425
Access DeepSeek V4 Pro from BytePlus using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "byteplus/deepseek-v4-pro-260425"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "byteplus/deepseek-v4-pro-260425"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="byteplus/deepseek-v4-pro-260425",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "byteplus/deepseek-v4-pro-260425",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
DeepSeek V4 Pro is a 1.6 trillion-parameter Mixture-of-Experts model from DeepSeek, with 49 billion parameters activated per token. Here it's made available through BytePlus's Model Ark hosting.
DeepSeek released it under the MIT license as an open-weight model. The company reports it leads open-source models on math, coding, and STEM reasoning benchmarks.
On LiveCodeBench it scores 93.5 in DeepSeek's reported testing, and on SWE-bench Verified it scores 80.6%, matching Gemini 3.1 Pro's reported score on that benchmark.
It supports a 1M-token context window and tool calling, which suits long-running coding agents, large codebase review, and other tasks where extended context and multi-step reasoning matter.
Context Window 1M
tokens
Max Output 384K
tokens
Input Cost $1.74
per million tokens
Output Cost $3.48
per million tokens
Input text
modalities
Tool Use Yes
Release Date Apr 25, 2026
Model Playground
Try DeepSeek V4 Pro instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From BytePlus
Dola Seed 2.1 Turbo
Dola Seed 2.1 Turbo is ByteDance's faster, lower-cost variant in the Seed 2.1 family, offered internationally through BytePlus's Model Ark platform. It accepts text, image, and video input, with a 256K context window and function calling for agent workflows. On ByteDance's own benchmarks against Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro, Turbo scores 89 on VideoMME for long video understanding and 79.2 on OVOBench for streaming video, ahead of Gemini 3.1 Pro's 86.7 and 64.1. It scores 88.0 on BeyondAIME reasoning, above Seed 2.1 Pro's 87.0. On knowledge tests like SuperGPQA it trails GPT-5.5 and Gemini. These are vendor-reported figures, not independently verified. It suits high-volume API use such as video analysis, document processing, and agent pipelines, where cost and video handling matter more than peak coding scores.
ImageDola Seedream 5.0 Pro
Dola Seedream 5.0 Pro is ByteDance's Seedream 5.0 Pro image generation and editing model, offered here through BytePlus's ModelArk API under the "Dola" branding BytePlus uses across its hosted model lineup. It generates images as independently editable layers, separating subjects, text, and background so pieces can be repositioned or swapped after generation. It supports pixel-level editing through selection points, arrows, and annotation boxes, reads color codes and material specifications, and renders text across 14 or more languages including Arabic, Korean, Thai, French, Russian, and Japanese. On Artificial Analysis's independent Text-to-Image Elo leaderboard it scores 1,283, ranking 8th overall, ahead of Black Forest Labs' FLUX.2 Max (1,233) and just behind Google's Nano Banana Pro (1,299). It fits production teams that need layered, editable output and multilingual text rather than a single flattened image.
ChatGLM-5.2
GLM-5.2 is an open-weight Mixture-of-Experts model from Zhipu AI (Z.ai), available here through BytePlus's hosted API. The model has roughly 744 billion total parameters and a 1 million token context window, and Z.ai released its weights under an MIT license. GLM-5.2 is built for coding, particularly long-horizon and agentic coding tasks. On SWE-bench Pro it scored 62.1, ahead of GPT-5.5 (58.6) and its predecessor GLM-5.1 (58.4). On the Artificial Analysis Intelligence Index it scored 51, the highest score among open-weight models at release. It suits teams building coding agents or working with large codebases who want an open-weight model, accessed here through BytePlus's API instead of self-hosting.
Frequently Asked Questions
You can access DeepSeek V4 Pro by BytePlus through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek V4 Pro to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $1.74 |
| Output | $3.48 |
DeepSeek V4 Pro was created by BytePlus and released on Apr 25, 2026.
DeepSeek V4 Pro supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,048 pages of text.
DeepSeek V4 Pro can generate up to 384K tokens in a single response.
DeepSeek V4 Pro accepts the following input types: text. It produces: text.
Yes, DeepSeek V4 Pro supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the DeepSeek V4 Pro API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add DeepSeek V4 Pro to your app without worrying about API keys or setup.
Read the Docs View Tutorials