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Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 53.6 to -10.1.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to -10.1, ranking #7 overall.

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

Choose Gemma 3n E2B Instructed LiteRT (Preview)

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.6 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
-10.1
#391
53.6
#7
-10.3
#384
51.6
#8
-4.5
#281
38.6
#19
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

1 shared
Index
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-6.1 Sol
-6.4#335
34.9#48
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Gemma 3n E2B Instructed LiteRT (Preview) · 17 for GPT-6.1 Sol

No common benchmarks found

Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6.1 Sol support multimodal inputs.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

GPT-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, 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 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

GPT-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 17 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.4 years ago

GPT-6.1 Sol

Sep 29, 2026

3 weeks ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a knowledge cutoff of 2024-06-01, 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 3n E2B Instructed LiteRT (Preview) (2024-06-01).

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

GPT-6.1 Sol

Apr 2026

1.8 yr newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-6.1 Sol.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 53.6 to -10.1. Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview) compare to GPT-6.1 Sol in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%.

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6.1 Sol?

Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview) and GPT-6.1 Sol?

Key differences include LLM Stats Score (-10.1 vs 53.6), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6.1 Sol?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and GPT-6.1 Sol is developed by OpenAI.