Compare / Edge0 8B-A1B (preview) vs Gemma 3n E4B

Edge0 8B-A1B (preview) vs Gemma 3n E4B

Updated November 2026

Verdict

Edge0 8B-A1B (preview) scores higher on the Small LM Index: 47.2 vs 18.2. On the 3 benchmarks both labs report, Edge0 8B-A1B (preview) wins 3 and Gemma 3n E4B wins 0. Both need about 5.7 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.

Pick Edge0 8B-A1B (preview) if…

you want the strongest model overall
you need math and reasoning
you work with long documents
you need a permissive license (Apache-2.0)

Pick Gemma 3n E4B if…

you need image input
you want the more widely used model (more quantized builds and community support)

Specifications

	Edge0 8B-A1B (preview)	Gemma 3n E4B
Small LM Index	47.2 (likely 42–52)	18.2 (likely 16–21)
Lab	Edge0 · Other	Google · United States
Released	2026-09-08	2025-06-26
Parameters	7.9B (1.4B active, MoE)	7.8B (dense)
Memory at 4-bit	~5.7 GB	~5.5 GB
Context window	128K tokens	32K tokens
Input	text	text, image, audio, video
Reasoning	Hybrid (thinking on/off)	No thinking
License	Apache-2.0	Gemma
API price / 1M tokens	Self-host only	Self-host only
Hugging Face downloads (30 days)	2.5K	12.7K

Benchmarks

Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.

Benchmark	Edge0 8B-A1B (preview)	Gemma 3n E4B
MMLU-Pro Knowledge	70.1	50.6
GPQA Diamond Knowledge	70.7	23.7
AIME Math	63.3	11.6
LiveCodeBench Coding	≈ 53	25.7
IFBench Instruction following	53.9	—
MMLU Knowledge	—	64.9
Multilingual MMLU Multilingual	—	60.3

Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.

Questions

Which is better, Edge0 8B-A1B (preview) or Gemma 3n E4B?

Edge0 8B-A1B (preview) scores higher on the Small LM Index: 47.2 vs 18.2. On the 3 benchmarks both labs report, Edge0 8B-A1B (preview) wins 3 and Gemma 3n E4B wins 0.

Which is cheaper to run?

Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 5.7 GB of memory at 4-bit quantization.

Which has the longer context window?

Edge0 8B-A1B (preview) has the longer context window: 128K tokens against 32K.

Can I use Edge0 8B-A1B (preview) and Gemma 3n E4B commercially?

Edge0 8B-A1B (preview) is released under Apache-2.0 and Gemma 3n E4B under Gemma. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.