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Parse vs Qwen2.5 7B Instruct

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

Cohere · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Parse and Qwen2.5 7B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Qwen2.5 7B Instruct also accepts a larger context window (131,072 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 Qwen2.5 7B Instruct

  • you process long inputs — it offers a 131,072 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
$0.30 / M
Context window
8,192
131,072

Individual benchmarks

1 reported for Parse · 14 for Qwen2.5 7B Instruct

No common benchmarks found

Parse and Qwen2.5 7B 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

5.3B diff

Qwen2.5 7B Instruct has 5.3B more parameters than Parse, making it 230.9% larger.

Cohere
Parse
2.3Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
2.3B
Parse
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Parse's 8,192 tokens. Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Cohere
Parse
Input8,192 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Parse is licensed under a proprietary license, while Qwen2.5 7B 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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Parse was released on 2026-08-27, while Qwen2.5 7B Instruct was released on 2024-09-19.

Parse is 24 months newer than Qwen2.5 7B Instruct.

Parse

Aug 27, 2026

4 days ago

1.9yr newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.9 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. Qwen2.5 7B Instruct is available from Together.

Parse

azure logo
Azure
cohere logo
Cohere

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* 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 Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

Parse
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about Parse vs Qwen2.5 7B Instruct.

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

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

Parse scores ParseBench: 79.2%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

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

Parse supports 8K tokens and Qwen2.5 7B Instruct supports 131K 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 7B Instruct?

Key differences include context window (8K vs 131K), 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 Qwen2.5 7B Instruct?

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