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Gemma 3 12B vs Gemma 3 1B

Gemma 3 12B leads the LLM Stats Score 5.8 to -9.9.

Google · Google · Updated for 2026

Which is better?

Gemma 3 12B leads the overall LLM Stats Score 5.8 to -9.9, ranking #275 overall.

In the 18 individual benchmarks reported for both models, Gemma 3 12B wins 18; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemma 3 12B

  • overall performance matters — it scores 5.8 and ranks #275 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 18 of 18 exact shared results

Choose Gemma 3 1B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Core performance indexes
5.8
#275
-9.9
#345
6.2
#271
-11.5
#339
2.9
#206
-10.1
#245
Cost, coverage & limits
Benchmark wins
18 of 18
0 of 18
Input price
$0.05 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 3 12B
Gemma 3 1B
13.3#214
-8.7#309
8.9#34
-4.1#48
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for Gemma 3 12B · 18 for Gemma 3 1B

18 shared

Gemma 3 12B outperforms in 18 benchmarks (BIG-Bench Extra Hard, BIG-Bench Hard, Bird-SQL (dev), ECLeKTic, FACTS Grounding, Global-MMLU-Lite, GPQA, GSM8k, HiddenMath, HumanEval, IFEval, LiveCodeBench, MATH, MBPP, MMLU-Pro, Natural2Code, SimpleQA, WMT24++), while Gemma 3 1B is better at 0 benchmarks.

Gemma 3 12B significantly outperforms across most benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

11.0B diff

Gemma 3 12B has 11.0B more parameters than Gemma 3 1B, making it 1100.0% larger.

Google
Gemma 3 12B
12.0Bparameters
Google
Gemma 3 1B
1.0Bparameters
12.0B
Gemma 3 12B
1.0B
Gemma 3 1B

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3 12B supports multimodal inputs, whereas Gemma 3 1B does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 12B

Text
Images
Audio
Video

Gemma 3 1B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Gemma.

Both models share the same licensing terms, providing consistent usage rights.

Gemma 3 12B

Gemma

Open weights

Gemma 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-03-12.

They likely represent similar generations of model development.

Gemma 3 12B

Mar 12, 2025

1.5 years ago

Gemma 3 1B

Mar 12, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 3 12B and Gemma 3 1B side-by-side, then vote on the output you prefer.

Gemma 3 12B
✓ Preferred
Gemma 3 1B
Open in Playground

FAQ

Common questions about Gemma 3 12B vs Gemma 3 1B.

Which is better, Gemma 3 12B or Gemma 3 1B?

Gemma 3 12B leads the LLM Stats Score 5.8 to -9.9. Gemma 3 12B is made by Google and Gemma 3 1B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3 12B compare to Gemma 3 1B in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%.

What are the context window sizes for Gemma 3 12B and Gemma 3 1B?

Gemma 3 12B supports 131K tokens and Gemma 3 1B 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 Gemma 3 12B and Gemma 3 1B?

Key differences include LLM Stats Score (5.8 vs -9.9), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.