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Parse vs Qwen2.5-Omni-7B

Comparing Parse and Qwen2.5-Omni-7B across benchmarks, pricing, and capabilities.

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B

  • 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 · 45 for Qwen2.5-Omni-7B

No common benchmarks found

Parse and Qwen2.5-Omni-7Bdon'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

4.7B diff

Qwen2.5-Omni-7B has 4.7B more parameters than Parse, making it 204.3% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
2.3B
Parse
7.0B
Qwen2.5-Omni-7B

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
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Parse and Qwen2.5-Omni-7B support multimodal inputs.

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

Parse

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while Qwen2.5-Omni-7B uses Apache 2.0.

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

Parse

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Qwen2.5-Omni-7B was released on 2025-03-27.

Parse is 17 months newer than Qwen2.5-Omni-7B.

Parse

Aug 27, 2026

6 days ago

1.4yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.4 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 Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about Parse vs Qwen2.5-Omni-7B.

Which is better, Parse or Qwen2.5-Omni-7B?

Parse (Cohere) and Qwen2.5-Omni-7B (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 Qwen2.5-Omni-7B in benchmarks?

Parse scores ParseBench: 79.2%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for Parse and Qwen2.5-Omni-7B?

Parse supports 8K tokens and Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Parse and Qwen2.5-Omni-7B?

Parse is developed by Cohere and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.