The AI arena is free today

Open Superagent

Parse vs QvQ-72B-Preview

Comparing Parse and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and QvQ-72B-Preview 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 QvQ-72B-Preview

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

At a glance

The differences that matter most.

Parse
Cohere
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
8,192
—

Individual benchmarks

1 reported for Parse · 4 for QvQ-72B-Preview

No common benchmarks found

Parse and QvQ-72B-Previewdon'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

71.1B diff

QvQ-72B-Preview has 71.1B more parameters than Parse, making it 3091.3% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
2.3B
Parse
73.4B
QvQ-72B-Preview

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
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Parse and QvQ-72B-Preview support multimodal inputs.

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

Parse

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

Parse

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while QvQ-72B-Preview was released on 2024-12-25.

Parse is 20 months newer than QvQ-72B-Preview.

Parse

Aug 27, 2026

5 days ago

1.7yr newer
QvQ-72B-Preview

Dec 25, 2024

1.7 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 QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about Parse vs QvQ-72B-Preview.

Which is better, Parse or QvQ-72B-Preview?

Parse (Cohere) and QvQ-72B-Preview (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 QvQ-72B-Preview in benchmarks?

Parse scores ParseBench: 79.2%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Parse and QvQ-72B-Preview?

Parse supports 8K tokens and QvQ-72B-Preview 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 QvQ-72B-Preview?

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

Who makes Parse and QvQ-72B-Preview?

Parse is developed by Cohere and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

Related comparisons