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Gemma 2 9B vs Parse

Comparing Gemma 2 9B and Parse across benchmarks, pricing, and capabilities.

Google · Cohere · Updated for 2026

Which is better?

Gemma 2 9B 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 2 9B

  • 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 2 9B
Google
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

16 reported for Gemma 2 9B · 1 for Parse

No common benchmarks found

Gemma 2 9B 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

6.9B diff

Gemma 2 9B has 6.9B more parameters than Parse, making it 301.7% larger.

Google
Gemma 2 9B
9.2Bparameters
Cohere
Parse
2.3Bparameters
9.2B
Gemma 2 9B
2.3B
Parse

Context Window

Maximum input and output token capacity

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

Google
Gemma 2 9B
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Gemma 2 9B does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B 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 2 9B

Gemma

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Parse was released on 2026-08-27.

Parse is 26 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Parse

Aug 27, 2026

3 days ago

2.2yr newer

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 2 9B and Parse side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Parse.

Which is better, Gemma 2 9B or Parse?

Gemma 2 9B (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 2 9B compare to Parse in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Gemma 2 9B and Parse?

Gemma 2 9B 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 2 9B and Parse?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Parse?

Gemma 2 9B is developed by Google and Parse is developed by Cohere.

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