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Gemma 3n E2B Instructed LiteRT (Preview) vs Parse

Comparing Gemma 3n E2B Instructed LiteRT (Preview) and Parse across benchmarks, pricing, and capabilities.

Google · Cohere · Updated for 2026

Which is better?

Gemma 3n E2B Instructed LiteRT (Preview) and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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 Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemma 3n E2B Instructed LiteRT (Preview)
Google
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

28 reported for Gemma 3n E2B Instructed LiteRT (Preview) · 1 for Parse

No common benchmarks found

Gemma 3n E2B Instructed LiteRT (Preview) and Parsedon'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

Model Size

Parameter count comparison

390.0M diff

Parse has 0.4B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 20.4% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Cohere
Parse
2.3Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed LiteRT (Preview) and Parse 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

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

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

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Parse was released on 2026-08-27.

Parse is 15 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.3 years ago

Parse

Aug 27, 2026

1 weeks ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Parse's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without Parse's cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Parse

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Parse.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Parse?

Gemma 3n E2B Instructed LiteRT (Preview) (Google) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to Parse 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%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and Parse?

Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens and Parse supports 8K 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 Parse?

Key differences include licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Parse?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Parse is developed by Cohere.

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