Parse vs Qwen3-235B-A22B-Thinking-2507
Comparing Parse and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.
Cohere · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Parse and Qwen3-235B-A22B-Thinking-2507 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Qwen3-235B-A22B-Thinking-2507 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 Parse
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3-235B-A22B-Thinking-2507
- you process long inputs — it offers a 262,144 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 · 25 for Qwen3-235B-A22B-Thinking-2507
Parse and Qwen3-235B-A22B-Thinking-2507don'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
Qwen3-235B-A22B-Thinking-2507 has 232.7B more parameters than Parse, making it 10117.4% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Parse's 8,192 tokens. Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
Parse
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
Parse is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Parse is 13 months newer than Qwen3-235B-A22B-Thinking-2507.
Aug 27, 2026
1 weeks ago
1.1yr newerJul 25, 2025
1.1 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. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.
Parse
Qwen3-235B-A22B-Thinking-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against Parse and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Parse vs Qwen3-235B-A22B-Thinking-2507.