DeepSeek · Open weights
DeepSeek R1 0528
The new (May 28th) Deepseek R1 model.
- Reasoning
- Tools
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.50
- Output
- $2.15
- Cache read
- $0.35
Reference prices as published by the model provider. API example
Specifications
- Context window
- 163.8K
- Max output
- 32.8K
- Average output (7 days)
- 1K tokens
- Longer than 71% of 465 models
Side by side
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
13.1
Better than 32% of 326 scored models
Indexes
Math Index
76.0Composite of the math evaluations
Better than 71% of 118 scored models
Document reasoning
AA-LCRv1.1
55.7%Reasoning across long documents
Better than 35% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
15.8%Expert-level questions across academic fields
Better than 42% of 323 scored models
GPQA Diamond
81.3%Graduate-level science questions
Better than 49% of 291 scored models
MMLU-Pro
84.9%Multi-subject knowledge and reasoning
Better than 85% of 132 scored models
IFBench
39.6%Following precise output instructions
Better than 27% of 215 scored models
Coding
LiveCodeBench
77.0%Recent competitive programming problems
Better than 77% of 129 scored models
Math
AIME 2025
76.0%Competition mathematics, 2025 problems
Better than 71% of 118 scored models
AIME
89.3%Competition mathematics
Better than 94% of 72 scored models
MATH-500
98.3%Competition math problems
Better than 94% of 73 scored models
Legacy evaluations
Terminal-Bench Hard
15.9%Earlier terminal task suite
Better than 33% of 212 scored models
τ²-Bench Telecom
36.5%Tool use in a customer-support simulation
Better than 30% of 214 scored models
AA-LCR (unversioned)
55.7%Long-context reasoning, earlier grading
Better than 35% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 39.3 tok/s
- Faster than 28% of 250 models
- Time to first token
- 1.2 s
- Quicker than 93% of 250 models
- Prompt cache hits
- 58.7%
- About $0.41 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-ai/DeepSeek-R1-0528",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="deepseek-ai/DeepSeek-R1-0528",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)DeepSeek
Related models
Other DeepSeek models, starting with the same family.