Gemma 3n E4B Instruct
AI model by Google. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Gemma 3n E4B Instruct is a budget-tier option from Google at $0.12/M output tokens. Despite the low price, it scores competitively on Coding Index (3.2) and Intelligence Index (1.0) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Gemma 3n E4B Instruct reports 55 tok/s output speed and 1500ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Gemma 3n E4B Instruct costs $0.07 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Gemma 3n E4B InstructCurrent | $0.06 | $0.12 | 55 tok/s |
| Sarvam 30B (high) | $0.03 | $0.11 | — |
| Ministral 3 3B | $0.10 | $0.10 | 205 tok/s |
| Granite 4.1 8B | $0.05 | $0.10 | 117 tok/s |
| Nova Micro | $0.04 | $0.14 | 282 tok/s |
| Llama 3 Instruct 8B | $0.04 | $0.14 | — |