Gemma 4 E2B (Non-reasoning)
Analysis Summary
Gemma 4 E2B (Non-reasoning) is a small footprint model from Google, with low scores across reasoning, agentic reliability, and instruction following. It is designed for lightweight or edge deployment rather than complex tasks.
Businesses should not expect strong performance on coding, analysis, or multi-step automation from this model. It may still be useful for very simple classification or on-device applications where efficiency matters more than depth.
Consider it only for constrained environments, not as a general business assistant.
Assessed July 29, 2026
Editorial notes
Gemma 4 E2B is a compact model with limited reasoning and agentic capability, best suited to minimal on-device tasks rather than business workloads.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemma 4 E2B is a compact model with limited reasoning and agentic capability, best suited to minimal on-device tasks rather than business workloads.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.4 Intelligence Index
How Gemma 4 E2B (Non-reasoning) compares
Gemma 4 E2B (Non-reasoning) ranks #313 of 401 AI models we track for overall intelligence. Gemma 4 E2B (Non-reasoning) is currently free to use via OpenRouter.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Frequently asked questions about Gemma 4 E2B (Non-reasoning)
How much does Gemma 4 E2B (Non-reasoning) cost?
Gemma 4 E2B (Non-reasoning) is currently available for free via OpenRouter.
Who created Gemma 4 E2B (Non-reasoning)?
Gemma 4 E2B (Non-reasoning) is developed by Google and was released on April 2, 2026.
