BenchLeader

Gemma 3n E4B

Gemma 3n E4B is a Google open-weights model, released 26 Jun 2025. Its best configuration ranks #762 of 785 on the BenchLeader Index at 35.7 ±5.6, in the lower half. The ± is the point: 166 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in human preference (47) and lowest in multimodal (8). Last measured 22 Oct 2026.

Blended price
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Output speed
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First answer
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Context
32k
Full answer
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Cost per run
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Released
26 Jun 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index36
  2. Reasoning40
  3. Coding42
  4. Agents & tools30
  5. Maths42
  6. Knowledge25
  7. Instruction following32
  8. Human preference47
  9. Multimodal8
  10. Long context23
  11. Composite35

How its index has moved

9 Sept 2026 to 21 Oct 2026
303642

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Coding

Benchmarknot statedSourceTrend
Arena Coding1307#273Arena (LMArena)
Terminal-Bench 2.1 (AA)not in index0.8%#227Artificial Analysis

Agents & tools

Maths

Benchmarknot statedSourceTrend
Arena Maths1260#263Arena (LMArena)

Knowledge

Instruction following

Benchmarknot statedSourceTrend
IFBench27.9%#376Artificial Analysis
Arena Instruction Followingnot in index1282#255Arena (LMArena)

Human preference

Benchmarknot statedSourceTrend
Arena Text1318#238Arena (LMArena)
Arena Creative Writingnot in index1299#218Arena (LMArena)
Arena Multi-turnnot in index1291#248Arena (LMArena)
Arena Longer Queriesnot in index1312#248Arena (LMArena)

Multimodal

Benchmarknot statedSourceTrend
MMMU-Pro26.2%#278Artificial Analysis
AudioMCnot in index15.5%#23Scale AI SEAL
AudioMC (text output)not in index15.5%#16Scale AI SEAL

Long context

Benchmarknot statedSourceTrend
AA-LCR0.0%#493Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index v4.3.24.8#618Artificial Analysis

Price history

The price above, per 1M tokens, every day it changed.

$0.00$0.033$0.066$0.099$0.132Sept 26Oct 26
input outputnow $0.00 in · $0.00 out

More from Google

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See also

Questions people ask

What are Gemma 3n E4B's benchmark scores?
As of 25 Oct 2026, Gemma 3n E4B scores 35.7 ±5.6 on the BenchLeader Index, strongest in human preference (47) and weakest in multimodal (8). That rests on 13 independent benchmark results, and every score on this page links to its publisher.
How does Gemma 3n E4B rank?
Gemma 3n E4B is #762 of 785 ranked configurations on 25 Oct 2026. 166 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was Gemma 3n E4B released?
Google released Gemma 3n E4B on 26 Jun 2025.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Gemma 3n E4B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/gemma-3n-e4b.