The AI arena is free today

Open Superagent

Gemma 4 12B vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 22.0.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 22.0, ranking #11 overall.

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

Choose Gemma 4 12B

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemma 4 12B
Google
GPT-6.1 Sol
OpenAI
Core performance indexes
LLM Stats Score
22.0
#188
52.0
#11
Reasoning
22.9
#175
42.2
#50
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 4 12B
GPT-6.1 Sol
Vision
10.9#120
31.6#26
Multimodal
17.0#85
30.7#30
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Gemma 4 12B · 10 for GPT-6.1 Sol

No common benchmarks found

Gemma 4 12B and GPT-6.1 Soldon'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 GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

Google
Gemma 4 12B
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Sun Oct 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 12B and GPT-6.1 Sol support multimodal inputs.

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

Gemma 4 12B

Text
Images
Audio
Video

GPT-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 12B is licensed under Apache 2.0, while GPT-6.1 Sol uses a proprietary license.

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

Gemma 4 12B

Apache 2.0

Open weights

GPT-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 12B was released on 2026-05-23, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 4 months newer than Gemma 4 12B.

Gemma 4 12B

May 23, 2026

4 months ago

GPT-6.1 Sol

Sep 29, 2026

4 days ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 4 12B has a knowledge cutoff of 2025-01-01, while GPT-6.1 Sol has a cutoff of 2026-04-30.

GPT-6.1 Sol has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Gemma 4 12B (2025-01-01).

Gemma 4 12B

Jan 2025

GPT-6.1 Sol

Apr 2026

1.3 yr newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 4 12B and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

Gemma 4 12B
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about Gemma 4 12B vs GPT-6.1 Sol.

Which is better, Gemma 4 12B or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 22.0. Gemma 4 12B is made by Google and GPT-6.1 Sol is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 4 12B compare to GPT-6.1 Sol in benchmarks?

Gemma 4 12B scores FLEURS: 93.1%, MMMLU: 83.4%, MathVision: 79.7%, GPQA: 78.8%, AIME 2026: 77.5%. GPT-6.1 Sol scores HealthBench Consensus: 96.0%, DeepSWE 1.1: 75.2%, OSWorld 2.0: 71.4%, HealthBench Professional: 64.2%, HealthBench: 58.5%.

What are the context window sizes for Gemma 4 12B and GPT-6.1 Sol?

Gemma 4 12B supports an unknown number of tokens and GPT-6.1 Sol supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 12B and GPT-6.1 Sol?

Key differences include LLM Stats Score (22.0 vs 52.0), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 12B and GPT-6.1 Sol?

Gemma 4 12B is developed by Google and GPT-6.1 Sol is developed by OpenAI.

Related comparisons