DeepSeek: R1 0528
deepseek/deepseek-r1-0528
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model.
BydeepseekInput typeOutput type
Recent activity on R1 0528
Tokens processed per day
Thoughput
(tokens/s)
ProvidersMin (tokens/s)Max (tokens/s)Avg (tokens/s)
Volcengine25.7544.0530.16
Theta47.28112.6777.94
First Token Latency
(ms)
ProvidersMin (ms)Max (ms)Avg (ms)
Volcengine45612401077.66
Theta71012401012.50
Providers for R1 0528
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 0.56
/ M tokens
Output
$ 2.23
/ M tokens
Cache read
-
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
-
Model limitation
Context
64.00K
Max output
64.00K
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
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Latency
0.78
s
Throughput
31.41
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 0.56
/ M tokens
Output
$ 2.23
/ M tokens
Cache read
$ 0.2
/ M tokens
Cache write 5m
-
Cache write 1h
$ 0.003
/ M tokens
Cache write
-
Web search
-
Model limitation
Context
128.00K
Max output
32.00K
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
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Sample code and API for R1 0528
ZenMux normalizes requests and responses across providers for you.
OpenAI-PythonPythonTypeScriptOpenAI-TypeScriptcURL
python
from 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-r1-0528",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is in this image?"
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)