Qwen2.5-Omni-7B vs Qwen3.5-0.8B Comparison

Comparing Qwen2.5-Omni-7B and Qwen3.5-0.8B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen2.5-Omni-7B outperforms in 3 benchmarks (GPQA, MMLU-Pro, MMLU-Redux), while Qwen3.5-0.8B is better at 0 benchmarks.

Qwen2.5-Omni-7B significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

6.2B diff

Qwen2.5-Omni-7B has 6.2B more parameters than Qwen3.5-0.8B, making it 775.0% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
0.8Bparameters
7.0B
Qwen2.5-Omni-7B
0.8B
Qwen3.5-0.8B

Input Capabilities

Supported data types and modalities

Both Qwen2.5-Omni-7B and Qwen3.5-0.8B support multimodal inputs.

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

Qwen2.5-Omni-7B

Text
Images
Audio
Video

Qwen3.5-0.8B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Qwen3.5-0.8B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Omni-7B was released on 2025-03-27, while Qwen3.5-0.8B was released on 2026-03-02.

Qwen3.5-0.8B is 11 months newer than Qwen2.5-Omni-7B.

Qwen2.5-Omni-7B

Mar 27, 2025

11 months ago

Qwen3.5-0.8B

Mar 2, 2026

1 weeks ago

11mo newer

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

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (30.8% vs 11.9%)
Higher MMLU-Pro score (47.0% vs 42.3%)
Higher MMLU-Redux score (71.0% vs 59.5%)
Alibaba Cloud / Qwen Team

Qwen3.5-0.8B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B