DeepSeek: DeepSeek V4 Flash (Free)
Recent activity on DeepSeek V4 Flash (Free)
Throughput
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| DeepSeek | 58.46 | 61.25 | 59.48 |
First Token Latency
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| DeepSeek | 1611 | 1790 | 1725.00 |
Uptime stats for DeepSeek V4 Flash (Free)
Uptime stats for DeepSeek V4 Flash (Free) across all providers
Uptime
DeepSeek
( Percent )
Providers for DeepSeek V4 Flash (Free)
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
1.81 s
Throughput
59.35 tps
Uptime
100.00 %
Recent uptime
Apr 29, 2026 6:00 AM
100.00%
Price
Input
$ 0.14 $ 0/ M tokens
Output
$ 0.28 $ 0/ M tokens
Cache read
$ 0.0028 $ 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
Sample code and API for DeepSeek V4 Flash (Free)
ZenMux normalizes requests and responses across providers for you.
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-flash-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-flash-free",
input="What is the meaning of life?"
)
print(responses)