Parse vs Qwen2.5 14B Instruct
Comparing Parse and Qwen2.5 14B Instruct across benchmarks, pricing, and capabilities.
Cohere · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Parse and Qwen2.5 14B Instruct 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 Parse
- you want the most recent training data — it shipped Aug 2026
Choose Qwen2.5 14B Instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Parse · 16 for Qwen2.5 14B Instruct
Parse and Qwen2.5 14B Instructdon'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
Qwen2.5 14B Instruct has 12.4B more parameters than Parse, making it 539.1% larger.
Context Window
Maximum input and output token capacity
Only Parse specifies input context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
Parse
Qwen2.5 14B Instruct
License
Usage and distribution terms
Parse is licensed under a proprietary license, while Qwen2.5 14B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Parse was released on 2026-08-27, while Qwen2.5 14B Instruct was released on 2024-09-19.
Parse is 24 months newer than Qwen2.5 14B Instruct.
Aug 27, 2026
4 days ago
1.9yr newerSep 19, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Parse and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Parse vs Qwen2.5 14B Instruct.