Tau Banking
Measured Jul 10, 2026Source
Score
0
Models17 0 
Gemma 3n E4B Instruct
GoogleGoogleUnited States
Gemma 3n E4B Instruct is a lightweight, efficient instruction-tuned model from Google's Gemma family, optimized for on-device and edge deployment. It delivers strong reasoning and instruction-following capabilities within a compact 4B parameter footprint, making it suitable for fast and cost-effective local inference.
ReasoningFastCheap
Input / 1M tokens
$0.02Output / 1M tokens
$0.04Output tokens/s
56.05First-token seconds
0.38sSupported plans
0Benchmark history
Evaluations
TAU2
Measured Jul 10, 2026Source
Score
0.05
Terminalbench V2 1
Measured Jul 10, 2026Source
Score
0.01
Terminalbench Hard
Measured Jul 10, 2026Source
Score
0.02
Lcr
Measured Jul 10, 2026Source
Score
0
Ifbench
Measured Jul 10, 2026Source
Score
0.28
Aime 25
Measured Jul 10, 2026Source
Score
0.14
Aime
Measured Jul 10, 2026Source
Score
0.14
Math 500
Measured Jul 10, 2026Source
Score
0.77
Scicode
Measured Jul 10, 2026Source
Score
0.08
Livecodebench
Measured Jul 10, 2026Source
Score
0.15
Hle
Measured Jul 10, 2026Source
Score
0.04
Gpqa
Measured Jul 10, 2026Source
Score
0.3
Mmlu Pro
Measured Jul 10, 2026Source
Score
0.49
Artificial Analysis Math Index
Measured Jul 10, 2026Source
Score
14.3
Artificial Analysis Coding Index
Measured Jul 10, 2026Source
Score
3.2
Artificial Analysis Intelligence Index
Measured Jul 10, 2026Source
Score
1.2
Plan availability
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