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Parse vs Qwen3 VL 235B A22B Instruct

Comparing Parse and Qwen3 VL 235B A22B Instruct across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and Qwen3 VL 235B A22B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 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 VL 235B A22B Instruct

  • you process long inputs — it offers a 262,144 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
$0.30 / M
Output price
— / M
$1.49 / M
Context window
8,192
262,144

Individual benchmarks

1 reported for Parse · 50 for Qwen3 VL 235B A22B Instruct

No common benchmarks found

Parse and Qwen3 VL 235B A22B 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

233.7B diff

Qwen3 VL 235B A22B Instruct has 233.7B more parameters than Parse, making it 10160.9% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
2.3B
Parse
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to Parse's 8,192 tokens. Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Parse and Qwen3 VL 235B A22B Instruct support multimodal inputs.

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

Parse

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Parse is 11 months newer than Qwen3 VL 235B A22B Instruct.

Parse

Aug 27, 2026

1 weeks ago

11mo newer
Qwen3 VL 235B A22B Instruct

Sep 22, 2025

11 months 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 VL 235B A22B Instruct is available from DeepInfra, Novita.

Parse

azure logo
Azure
cohere logo
Cohere

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.49/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* 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 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Qwen3 VL 235B A22B Instruct
Open in Playground

FAQ

Common questions about Parse vs Qwen3 VL 235B A22B Instruct.

Which is better, Parse or Qwen3 VL 235B A22B Instruct?

Parse (Cohere) and Qwen3 VL 235B A22B 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 Qwen3 VL 235B A22B Instruct in benchmarks?

Parse scores ParseBench: 79.2%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for Parse and Qwen3 VL 235B A22B Instruct?

Parse supports 8K tokens and Qwen3 VL 235B A22B Instruct supports 262K 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 VL 235B A22B Instruct?

Key differences include context window (8K vs 262K), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Parse and Qwen3 VL 235B A22B Instruct?

Parse is developed by Cohere and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.