DeepSeek: DeepSeek V4 Pro (Free) Free Rate Limit
deepseek/deepseek-v4-pro-free
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.
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.
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)