DeepSeek: DeepSeek V4 Pro (Free) Free Rate Limit

deepseek/deepseek-v4-pro-free

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DeepSeek-V4-Pro is the flagship model of the DeepSeek V4 series, released as a preview and open-sourced alongside its efficiency-tier sibling V4-Flash. It is positioned as the performance-first tier in the V4 lineup, designed to push agentic capability, world knowledge, and reasoning performance to levels competitive with leading closed-source models.

The model introduces a new attention mechanism that performs compression along the token dimension, combined with DeepSeek Sparse Attention (DSA). The design makes a 1M context window the default across all official DeepSeek services while substantially reducing compute and memory overhead compared with prior approaches.

DeepSeek-V4-Pro has been specifically adapted and optimized for mainstream agent products such as Claude Code, OpenClaw, OpenCode, and CodeBuddy. According to DeepSeek, V4-Pro reaches the top tier among open-source models on Agentic Coding benchmarks, and is currently used internally at DeepSeek as the default Agentic Coding model—with internal evaluation reports describing a usage experience above Sonnet 4.5 and delivery quality close to Opus 4.6 in non-thinking mode, while still trailing Opus 4.6 in thinking mode. On world knowledge, it leads open-source models and trails only Gemini-Pro-3.1; on math, STEM, and competitive coding, it delivers results on par with top closed-source models.

The model supports both thinking and non-thinking modes, with the thinking mode exposing a reasoning_effort parameter (high / max) for complex agent workflows. It is available via App, Web, and API through the OpenAI ChatCompletions and Anthropic interfaces, with weights open-sourced on Hugging Face and ModelScope._

by DeepSeekInput typeOutput typePublish time2026-04-24

Recent activity on DeepSeek V4 Pro (Free)

Tokens processed per day

Throughput

(tokens/s)

Providers Min (tokens/s) Max (tokens/s) Avg (tokens/s)
DeepSeek 29.91 32.31 31.37

First Token Latency

(ms)

Providers Min (ms) Max (ms) Avg (ms)
DeepSeek 2379 2477 2422.00

Uptime stats for DeepSeek V4 Pro (Free)

Uptime stats for DeepSeek V4 Pro (Free) across all providers

Uptime

DeepSeek

( Percent )

Providers for DeepSeek V4 Pro (Free)

ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

DeepSeek

Latency

2.49

s

Throughput

31.01 tps

Uptime

100.00 %

Recent uptime

Apr 29, 2026 4:00 PM100.00%

Price

Input

$ 1.74$ 0/ M tokens

Output

$ 3.48$ 0/ M tokens

Cache read

$ 0.0145$ 0/ M tokens

Cache write 5m

Cache write 1h

Cache write

Web search

Image

Image input

Image output

Image cache

reasoning

Video

Audio

Audio cache read

Audio input

Audio & Video

Image search

Web search image

Model limitation

Context

1000.00K

Max output

384.00K

Supported Parameters

max_completion_tokens

temperature

top_p

frequency_penalty

presence_penalty

seed

logit_bias

logprobs

top_logprobs

response_format

stop

tools

tool_choice

parallel_tool_calls

Model Protocol Compatibility

OpenAI Chat Completions

OpenAI Responses

OpenAI Embeddings

Anthropic Messages

Google Gemini

Google Imagen

Google Video

Status Page

status page

Sample code and API for DeepSeek V4 Pro (Free)

ZenMux normalizes requests and responses across providers for you.

Create API Key

OpenAI: Python-SDK

OpenAI: cURL

Anthropic: Python-SDK

Anthropic: cURL

from openai import OpenAI

client = OpenAI(
  base_url="https://zenmux.ai/api/v1",
  api_key="<ZENMUX_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="deepseek/deepseek-v4-pro-free",
  messages=[\
    {\
      "role": "user",\
      "content": "What is the meaning of life?"\
    }\
  ]
)
print(completion.choices[0].message.content)

# Responses API
responses = client.responses.create(
  model="deepseek/deepseek-v4-pro-free",
  input="What is the meaning of life?"
)
print(responses)