Gemma 4 31B vs Parse
Comparing Gemma 4 31B and Parse across benchmarks, pricing, and capabilities.
Google · Cohere · Updated for 2026
Which is better?
Gemma 4 31B and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Gemma 4 31B also accepts a larger context window (262,144 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 4 31B
- you process long inputs — it offers a 262,144 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
12 reported for Gemma 4 31B · 1 for Parse
Gemma 4 31B 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 4 31B has 28.4B more parameters than Parse, making it 1234.8% larger.
Context Window
Maximum input and output token capacity
Gemma 4 31B accepts 262,144 input tokens compared to Parse's 8,192 tokens. Only Gemma 4 31B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 4 31B and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
Parse
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while Parse uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while Parse was released on 2026-08-27.
Parse is 5 months newer than Gemma 4 31B.
Apr 2, 2026
5 months ago
Aug 27, 2026
6 days ago
4mo newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Parse's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without Parse's cutoff date.
Jan 2025
—
Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. Parse is available from Azure, Cohere.
Gemma 4 31B
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 31B and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 31B vs Parse.