TAU2
Measured May 14, 2026Source
Score
0
Models15 1 
Meta
Llama 3.2 Instruct 1B
MetaMetaUnited States
A lightweight 1B parameter instruction-tuned model from Meta's Llama 3.2 series, optimized for fast inference and deployment on edge devices or resource-constrained environments. It supports text-based tasks and is part of a family that includes larger multimodal models.
FastCheapReasoning
Input / 1M tokens
$0.05Output / 1M tokens
$0.05Output tokens/s
134.07First-token seconds
0.61sSupported plans
2Benchmark history
Evaluations
Terminalbench Hard
Measured May 14, 2026Source
Score
0
Lcr
Measured May 14, 2026Source
Score
0.05
Ifbench
Measured May 14, 2026Source
Score
0.23
Aime 25
Measured May 14, 2026Source
Score
0
Aime
Measured May 14, 2026Source
Score
0
Math 500
Measured May 14, 2026Source
Score
0.14
Scicode
Measured May 14, 2026Source
Score
0.02
Livecodebench
Measured May 14, 2026Source
Score
0.02
Hle
Measured May 14, 2026Source
Score
0.05
Gpqa
Measured May 14, 2026Source
Score
0.2
Mmlu Pro
Measured May 14, 2026Source
Score
0.2
Artificial Analysis Math Index
Measured May 14, 2026Source
Score
0
Artificial Analysis Coding Index
Measured May 14, 2026Source
Score
0.6
Artificial Analysis Intelligence Index
Measured May 14, 2026Source
Score
6.3
Plan availability
Products and plans that support this model
Synthetic
Synthetic
Synthetic is a platform that runs open-source AI models in private, secure datacenters. It offers subscription and usage-based pricing for accessing models like DeepSeek, Llama, MiniMax, Kimi, and others, with OpenAI-compatible API access for use in coding agents and tools.
Discussion
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