DeepSeek: R1 0528, DeepSeek — route, pricing & source
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
OpenRoutermediumLast checked: May 14, 2026
Input
$0.5000 / 1M
/ 1M tokens
Output
$2.15 / 1M
/ 1M tokens
Cached input
Not available
Not available
Cache write
Not available
Not available
Context and limits
Context window
163.8K
Max output
32,768
Input modalities
text
Output modalities
text
Weight access
Closed
Availability
Unknown
Capability flags
ToolsJSONReasoningLong context
From source metadata + verification fields — confirm provider docs before production.
Access and license
Official API
No
Open weights
No
Self-hostable
No
License
Open sourceMITCode/weights ship under an open license (often MIT / Apache‑2.0). MIT is a short permissive license: use/modify/redistribute freely with a copyright notice—always read the upstream project text.
Example costs
Scenario: 1K input + 300 output tokens / request
10,000 requests
$11.45
100,000 requests
$114.50
1,000,000 requests
$1,145.00
Cheaper alternatives
Lower-cost models for the same scenario
Source
Source
OpenRouter Models API
Confidence
medium
Route
OpenRouter
Last checked
May 14, 2026
Source notes
- Includes Hugging Face benchmark data only when the dataset is public, ungated, allowlisted, and matched by reviewed aliases.
