The AI arena is free today

Open Superagent

Gemini 3.8 Flash vs Gemma 4 12B

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 22.0.

Google · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.6 to 22.0, ranking #16 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 50.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Gemma 4 12B

  • 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 12B
Google
Core performance indexes
LLM Stats Score
50.6
#16
22.0
#179
Reasoning
46.9
#24
23.0
#166
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 12B
Vision
34.1#13
10.9#113
Multimodal
35.3#11
17.0#78
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 15 for Gemma 4 12B

No common benchmarks found

Gemini 3.8 Flash and Gemma 4 12Bdon'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 12B
Input- tokens
Output- tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Gemma 4 12B 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 12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash is licensed under a proprietary license, while Gemma 4 12B 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 12B

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 12B was released on 2026-05-23.

Gemini 3.8 Flash is 3 months newer than Gemma 4 12B.

Gemini 3.8 Flash

Sep 2, 2026

1 weeks ago

3mo newer
Gemma 4 12B

May 23, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a knowledge cutoff of 2026-03-31, while Gemma 4 12B 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 12B (2025-01-01).

Gemini 3.8 Flash

Mar 2026

1.2 yr newer
Gemma 4 12B

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 12B side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Gemma 4 12B
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Gemma 4 12B.

Which is better, Gemini 3.8 Flash or Gemma 4 12B?

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 22.0. Gemini 3.8 Flash is made by Google and Gemma 4 12B 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 12B 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 12B scores FLEURS: 93.1%, MMMLU: 83.4%, MathVision: 79.7%, GPQA: 78.8%, AIME 2026: 77.5%.

What are the context window sizes for Gemini 3.8 Flash and Gemma 4 12B?

Gemini 3.8 Flash supports 1.0M tokens and Gemma 4 12B 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 12B?

Key differences include LLM Stats Score (50.6 vs 22.0), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Related comparisons