TAU2
Measured May 14, 2026Source
Score
0
Models15 0 
Gemma 3n E2B Instruct
GoogleGoogleUnited States
Gemma 3n E2B is a lightweight, efficient instruction-tuned model from Google's Gemma family, designed for high performance on edge devices and resource-constrained environments. It balances speed and capability, making it suitable for fast, cost-effective on-device AI applications.
FastCheapReasoning
Input / 1M tokens
$0.00Output / 1M tokens
$0.00Output tokens/s
58.95First-token seconds
0.31sSupported plans
0Benchmark history
Evaluations
Terminalbench Hard
Measured May 14, 2026Source
Score
0.01
Lcr
Measured May 14, 2026Source
Score
0
Ifbench
Measured May 14, 2026Source
Score
0.22
Aime 25
Measured May 14, 2026Source
Score
0.1
Aime
Measured May 14, 2026Source
Score
0.09
Math 500
Measured May 14, 2026Source
Score
0.69
Scicode
Measured May 14, 2026Source
Score
0.05
Livecodebench
Measured May 14, 2026Source
Score
0.1
Hle
Measured May 14, 2026Source
Score
0.04
Gpqa
Measured May 14, 2026Source
Score
0.23
Mmlu Pro
Measured May 14, 2026Source
Score
0.38
Artificial Analysis Math Index
Measured May 14, 2026Source
Score
10.3
Artificial Analysis Coding Index
Measured May 14, 2026Source
Score
2.2
Artificial Analysis Intelligence Index
Measured May 14, 2026Source
Score
4.8
Plan availability
Products and plans that support this model
No products or plans have been linked to this model yet.
Discussion
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