Last refreshed 2026-06-15. Next refresh: weekly.
Why use DeepSeek R1 0528 on DeepInfra?
DeepInfra offers DeepSeek R1 0528 with pay-as-you-go pricing at $0.50/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare DeepSeek R1 0528 across 7 providers to find the best fit for your use caseInput / 1M
$0.50
Output / 1M
$2.15
Cache
read $0.35
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export DEEPINFRA_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],Model ID
deepseek-ai/DeepSeek-R1-0528Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-R1-0528",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "deepseek-ai/DeepSeek-R1-0528", not the LLMReference slug "deepseek-r1-0528".
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
Compare DeepSeek R1 0528 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $3.00 | $7.00 |
| Fireworks AI | $0.56 | $1.68 |
| GCP Vertex AI | $1.35 | $5.40 |
| Novita AI | $0.70 | $2.50 |
| OpenRouter | $0.50 | $2.15 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $2.15 |
Capabilities
ReasoningStructured OutputsCode Execution
About DeepSeek R1 0528
DeepSeek R1 0528 is DeepSeek's DeepSeek R1 model with an optional reasoning mode. It offers a 130K-token context window with weights openly available for self-hosting and scores 81 on GPQA.
Get Started
Model Specs
Released2025-05-28
Parameters685B total, 37B active (MoE)
Context130k
ArchitectureDecoder Only