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Mistral Small 3.1 24B Instruct
MistralOverview
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Quick Links
Key Metrics
Max Input
128K
Tokens
Max Output
128K
Tokens
Input Price
-
Per 1M Tokens
Output Price
-
Per 1M Tokens
Throughput
-
tok/s
Latency
-
ms
Model Information
Release Details
Released
17 Mar 2025
Knowledge Cutoff
-
License
Apache-2.0
Model Architecture
Parameters
-
Training Data
-
Context Window
Input Context Length
128,000 tokens
Output Context Length
128,000 tokens
Key Features
Web Access
No
Real-time access to current web information
Multimodal
Yes
Ability to process multiple data types (text, images, etc.)
Reasoning
Unknown
Advanced logical and deductive reasoning capabilities
Fine-Tunable
Unknown
Can be customized for specific use cases
Model Release & Updates
17 Mar 2025
Model Released
Model first made available to the public
Benchmarks & Performance Comparison
GPQA
46.00%
LisanBench
-
AidanBench
-
Aider-Polyglot
-
LiveBench
-
AIME 2024
-
ARC-AGI-1
-
ARC-AGI-2
-
AIME 2025
-
Humanity's Last Exam
-