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Parse vs Qwen3 32B

Comparing Parse and Qwen3 32B across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and Qwen3 32B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Qwen3 32B also accepts a larger context window (128,000 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 32B

  • you process long inputs — it offers a 128,000 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
$0.10 / M
Output price
— / M
$0.30 / M
Context window
8,192
128,000

Individual benchmarks

1 reported for Parse · 9 for Qwen3 32B

No common benchmarks found

Parse and Qwen3 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

30.5B diff

Qwen3 32B has 30.5B more parameters than Parse, making it 1326.1% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
2.3B
Parse
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Qwen3 32B accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Qwen3 32B specifies output context (128,000 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Qwen3 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

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while Qwen3 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

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Qwen3 32B was released on 2025-04-29.

Parse is 16 months newer than Qwen3 32B.

Parse

Aug 27, 2026

4 days ago

1.3yr newer
Qwen3 32B

Apr 29, 2025

1.3 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

Provider Availability

Parse is available from Azure, Cohere. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Parse

azure logo
Azure
cohere logo
Cohere

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* 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 Qwen3 32B side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Qwen3 32B
Open in Playground

FAQ

Common questions about Parse vs Qwen3 32B.

Which is better, Parse or Qwen3 32B?

Parse (Cohere) and Qwen3 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 Qwen3 32B in benchmarks?

Parse scores ParseBench: 79.2%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for Parse and Qwen3 32B?

Parse supports 8K tokens and Qwen3 32B supports 128K 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 Qwen3 32B?

Key differences include context window (8K vs 128K), 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 Qwen3 32B?

Parse is developed by Cohere and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.