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DeepSeek: deepseek-chat (v3.2)
deepseek/deepseek-chat
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models.
For model details, please visit the DeepSeek-V3 repo for more information, or see the launch announcement.
Recent activity on deepseek-chat (v3.2)
Tokens processed per day
Thoughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Deepseek | 4.12 | 19.93 | 6.95 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Deepseek | 1197 | 2927 | 2163.66 |
Providers for deepseek-chat (v3.2)
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
1.07
s
Throughput
14.48
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 0.56
/ M tokens
Output
$ 1.68
/ M tokens
Cache read
$ 0.07
/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
-
Model limitation
Context
128.00K
Max output
8.00K
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
anthropic
Data policy
Prompt training
true
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Status Page
status page
Sample code and API for deepseek-chat (v3.2)
ZenMux normalizes requests and responses across providers for you.
OpenAI-PythonPythonTypeScriptOpenAI-TypeScriptcURL
pythonfrom openai import OpenAI client = OpenAI( base_url="https://zenmux.ai/api/v1", api_key="<ZenMux_API_KEY>", ) completion = client.chat.completions.create( model="deepseek/deepseek-chat", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image?" } ] } ] ) print(completion.choices[0].message.content)