Gemma 3 27B vs Parse
Comparing Gemma 3 27B and Parse across benchmarks, pricing, and capabilities.
Google · Cohere · Updated for 2026
Which is better?
Gemma 3 27B and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Gemma 3 27B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 27B
- you process long inputs — it offers a 131,072 token context window
- 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.
Individual benchmarks
27 reported for Gemma 3 27B · 1 for Parse
Gemma 3 27B 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
Gemma 3 27B has 24.7B more parameters than Parse, making it 1073.9% larger.
Context Window
Maximum input and output token capacity
Gemma 3 27B accepts 131,072 input tokens compared to Parse's 8,192 tokens. Only Gemma 3 27B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 3 27B and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 27B
Parse
License
Usage and distribution terms
Gemma 3 27B 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
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while Parse was released on 2026-08-27.
Parse is 18 months newer than Gemma 3 27B.
Mar 12, 2025
1.5 years ago
Aug 27, 2026
4 days ago
1.5yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 27B is available from DeepInfra, Novita. Parse is available from Azure, Cohere.
Gemma 3 27B
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 27B and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs Parse.