Parse vs Qwen2.5-Coder 32B Instruct
Comparing Parse and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.
Cohere · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Parse and Qwen2.5-Coder 32B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Qwen2.5-Coder 32B Instruct also accepts a larger context window (128,000 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 Parse
- you want the most recent training data — it shipped Aug 2026
Choose Qwen2.5-Coder 32B Instruct
- you process long inputs — it offers a 128,000 token context window
- 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 · 15 for Qwen2.5-Coder 32B Instruct
Parse and Qwen2.5-Coder 32B 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-Coder 32B Instruct has 29.7B more parameters than Parse, making it 1291.3% larger.
Context Window
Maximum input and output token capacity
Qwen2.5-Coder 32B Instruct accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
Parse
Qwen2.5-Coder 32B Instruct
License
Usage and distribution terms
Parse is licensed under a proprietary license, while Qwen2.5-Coder 32B 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-Coder 32B Instruct was released on 2024-09-19.
Parse is 24 months newer than Qwen2.5-Coder 32B Instruct.
Aug 27, 2026
5 days ago
1.9yr newerSep 19, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Parse is available from Azure, Cohere. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
Parse
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Parse and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Parse vs Qwen2.5-Coder 32B Instruct.