all the models — AI benchmark observatory
← Models

Gemma 4 E4B

Google · open weight · gemma-4-e4b-it

Gemma 4 E4B is Google DeepMind's compact multimodal model with 4.5 billion effective parameters (8B with embeddings) and a 128K context window. Supports image, text, and audio inputs. Features Per-Layer Embeddings for efficient on-device deployment while maintaining strong multimodal capabilities.

MMLU-ProGPQAMMMU-Pro

Benchmark scores

BenchmarkScore
MMLU-Pro0.69
GPQA0.59
MMMU-Pro0.53

Pricing

  • DeepInfra$0.02 / $0.10

Input / output per 1M tokens

AA metrics

No Artificial Analysis link yet.

Arena Elo

  • No Arena snapshot linked.