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EXAONE 3.5 32B
Overview
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Quick Links
Key Metrics
Max Input
32,768
Tokens
Max Output
32,768
Tokens
Throughput
-
tok/s
Latency
-
ms
Input Price
-
Per 1M Tokens
Cached Input Price
-
Per 1M Tokens
Output Price
-
Per 1M Tokens
Blended Price
-
Per 1M Tokens
Model Information
Release Details
Released
09 Dec 2024
Knowledge Cutoff
-
License
EXAONE AI Model License Agreement 1.1 - NC
Model Architecture
Parameters
-
Training Data
-
Context Window
Input Context Length
32,768 tokens
Output Context Length
32,768 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
No
Advanced logical and deductive reasoning capabilities
Fine-Tunable
Yes
Can be customized for specific use cases
Model Release & Updates
09 Dec 2024
Model Released
Model first made available to the public
09 Dec 2024
Model Announced
Model first introduced to the public
Benchmarks & Performance Comparison