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Parse vs QwQ-32B-Preview

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

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and QwQ-32B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

QwQ-32B-Preview also accepts a larger context window (32,768 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 QwQ-32B-Preview

  • you process long inputs — it offers a 32,768 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
8,192
32,768

Individual benchmarks

1 reported for Parse · 4 for QwQ-32B-Preview

No common benchmarks found

Parse and QwQ-32B-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

30.2B diff

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

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

Context Window

Maximum input and output token capacity

QwQ-32B-Preview accepts 32,768 input tokens compared to Parse's 8,192 tokens. Only QwQ-32B-Preview specifies output context (32,768 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas QwQ-32B-Preview 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-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while QwQ-32B-Preview 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-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while QwQ-32B-Preview was released on 2024-11-28.

Parse is 21 months newer than QwQ-32B-Preview.

Parse

Aug 27, 2026

4 days ago

1.7yr newer
QwQ-32B-Preview

Nov 28, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

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

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

Parse

QwQ-32B-Preview

Nov 2024

Provider Availability

Parse is available from Azure, Cohere. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Parse

azure logo
Azure
cohere logo
Cohere

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Parse
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about Parse vs QwQ-32B-Preview.

Which is better, Parse or QwQ-32B-Preview?

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

Parse scores ParseBench: 79.2%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

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

Parse supports 8K tokens and QwQ-32B-Preview supports 33K 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-Preview?

Key differences include context window (8K vs 33K), 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-Preview?

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