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Parse vs Qwen2.5 VL 72B Instruct

Comparing Parse and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and Qwen2.5 VL 72B 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 VL 72B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
8,192

Individual benchmarks

1 reported for Parse · 30 for Qwen2.5 VL 72B Instruct

No common benchmarks found

Parse and Qwen2.5 VL 72B 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

69.7B diff

Qwen2.5 VL 72B Instruct has 69.7B more parameters than Parse, making it 3030.4% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
2.3B
Parse
72.0B
Qwen2.5 VL 72B Instruct

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Parse and Qwen2.5 VL 72B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Parse

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

Parse

Proprietary

Closed source

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Parse is 19 months newer than Qwen2.5 VL 72B Instruct.

Parse

Aug 27, 2026

3 days ago

1.6yr newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Parse and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

FAQ

Common questions about Parse vs Qwen2.5 VL 72B Instruct.

Which is better, Parse or Qwen2.5 VL 72B Instruct?

Parse (Cohere) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Parse compare to Qwen2.5 VL 72B Instruct in benchmarks?

Parse scores ParseBench: 79.2%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Parse and Qwen2.5 VL 72B Instruct?

Parse supports 8K tokens and Qwen2.5 VL 72B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Parse and Qwen2.5 VL 72B Instruct?

Key differences include licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Parse and Qwen2.5 VL 72B Instruct?

Parse is developed by Cohere and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.