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R1
Overview
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Key Metrics
Max Input
128,000
Tokens
Max Output
64,000
Tokens
Throughput
-
tok/s
Latency
-
ms
Input Price
$0.135
Per 1M Tokens
Cached Input Price
$0.035
Per 1M Tokens
Output Price
$0.55
Per 1M Tokens
Blended Price
$0.446
Per 1M Tokens
Model Information
Release Details
Released
28 May 2025
Knowledge Cutoff
-
License
MIT License
Model Architecture
Parameters
-
Training Data
-
Context Window
Input Context Length
128,000 tokens
Output Context Length
64,000 tokens
Key Features
Web Access
No
Real-time access to current web information
Multimodal
No
Ability to process multiple data types (text, images, etc.)
Reasoning
Yes
Advanced logical and deductive reasoning capabilities
Fine-Tunable
Yes
Can be customized for specific use cases
Model Release & Updates
28 May 2025
Model Released
Model first made available to the public
28 May 2025
Model Announced
Model first introduced to the public
Benchmarks & Performance Comparison