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Gemini 3.8 Flash vs Gemma 4 E2B

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 6.8.

Google · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.2 to 6.8, ranking #12 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.2 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Gemma 4 E2B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Gemma 4 E2B
Google
Core performance indexes
LLM Stats Score
51.2
#12
6.8
#289
Reasoning
47.5
#23
5.7
#290
Agents
36.1
#16
-3.6
#177
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.8 Flash
Gemma 4 E2B
Vision
34.1#14
0.7#176
Multimodal
35.3#11
2.9#143
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 11 for Gemma 4 E2B

No common benchmarks found

Gemini 3.8 Flash and Gemma 4 E2Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Google
Gemma 4 E2B
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Gemma 4 E2B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.8 Flash

Text
Images
Audio
Video

Gemma 4 E2B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash is licensed under a proprietary license, while Gemma 4 E2B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.8 Flash

Proprietary

Closed source

Gemma 4 E2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Gemma 4 E2B was released on 2026-04-02.

Gemini 3.8 Flash is 5 months newer than Gemma 4 E2B.

Gemini 3.8 Flash

Sep 2, 2026

6 days ago

5mo newer
Gemma 4 E2B

Apr 2, 2026

5 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a knowledge cutoff of 2026-03-31, while Gemma 4 E2B has a cutoff of 2025-01-01.

Gemini 3.8 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Gemma 4 E2B (2025-01-01).

Gemini 3.8 Flash

Mar 2026

1.2 yr newer
Gemma 4 E2B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and Gemma 4 E2B side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Gemma 4 E2B
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Gemma 4 E2B.

Which is better, Gemini 3.8 Flash or Gemma 4 E2B?

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 6.8. Gemini 3.8 Flash is made by Google and Gemma 4 E2B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash compare to Gemma 4 E2B in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%.

What are the context window sizes for Gemini 3.8 Flash and Gemma 4 E2B?

Gemini 3.8 Flash supports 1.0M tokens and Gemma 4 E2B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash and Gemma 4 E2B?

Key differences include LLM Stats Score (51.2 vs 6.8), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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