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Parse vs QwQ-32B

Comparing Parse and QwQ-32B across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and QwQ-32B 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 QwQ-32B

  • 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 · 7 for QwQ-32B

No common benchmarks found

Parse and QwQ-32Bdon'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

30.2B diff

QwQ-32B has 30.2B more parameters than Parse, making it 1313.0% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
2.3B
Parse
32.5B
QwQ-32B

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
QwQ-32B
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas QwQ-32B does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

Parse

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

Parse

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while QwQ-32B was released on 2025-03-05.

Parse is 18 months newer than QwQ-32B.

Parse

Aug 27, 2026

4 days ago

1.5yr newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Parse's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Parse's cutoff date.

Parse

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Parse and QwQ-32B side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about Parse vs QwQ-32B.

Which is better, Parse or QwQ-32B?

Parse (Cohere) and QwQ-32B (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 QwQ-32B in benchmarks?

Parse scores ParseBench: 79.2%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Parse and QwQ-32B?

Parse supports 8K tokens and QwQ-32B 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 QwQ-32B?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Parse and QwQ-32B?

Parse is developed by Cohere and QwQ-32B is developed by Alibaba Cloud / Qwen Team.