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Qwen2.5-Omni-7B vs Qwen2.5 VL 7B Instruct

Qwen2.5-Omni-7B and Qwen2.5 VL 7B Instruct are closely matched at 5.3 and 6.8 on the LLM Stats Score.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2.5-Omni-7B and Qwen2.5 VL 7B Instruct are closely matched on the overall LLM Stats Score at 5.3 and 6.8.

In the 9 individual benchmarks reported for both models, Qwen2.5 VL 7B Instruct wins 5; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen2.5-Omni-7B

  • you want the most recent training data — it shipped Mar 2025

Choose Qwen2.5 VL 7B Instruct

  • you value its reported benchmark strengths — it wins 5 of 9 exact shared results

At a glance

The differences that matter most.

Core performance indexes
5.3
#286
6.8
#281
1.6
#298
3.4
#288
Cost, coverage & limits
Benchmark wins
4 of 9
5 of 9
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Qwen2.5-Omni-7B
Qwen2.5 VL 7B Instruct
5.5#264
3.5#279
5.8#149
5.1#153
7.3#126
7.3#127
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for Qwen2.5-Omni-7B · 32 for Qwen2.5 VL 7B Instruct

9 shared

Qwen2.5-Omni-7B outperforms in 4 benchmarks (MMMU, MMStar, MVBench, VideoMME w sub.), while Qwen2.5 VL 7B Instruct is better at 5 benchmarks (ChartQA, DocVQA, MathVision, MMMU-Pro, TextVQA).

Qwen2.5 VL 7B Instruct has a slight edge in benchmark performance.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.3B diff

Qwen2.5 VL 7B Instruct has 1.3B more parameters than Qwen2.5-Omni-7B, making it 18.4% larger.

Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
7.0B
Qwen2.5-Omni-7B
8.3B
Qwen2.5 VL 7B Instruct

Input capabilities

Documented input modalities across available providers

Both Qwen2.5-Omni-7B and Qwen2.5 VL 7B Instruct 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

Qwen2.5 VL 7B Instruct

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

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Omni-7B was released on 2025-03-27, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5-Omni-7B is 2 months newer than Qwen2.5 VL 7B Instruct.

Qwen2.5-Omni-7B

Mar 27, 2025

1.4 years ago

2mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 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 Qwen2.5-Omni-7B and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

Common questions about Qwen2.5-Omni-7B vs Qwen2.5 VL 7B Instruct.

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

Qwen2.5-Omni-7B and Qwen2.5 VL 7B Instruct are closely matched on the LLM Stats Score at 5.3 and 6.8. Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team and Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen2.5-Omni-7B compare to Qwen2.5 VL 7B Instruct in benchmarks?

Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the main differences between Qwen2.5-Omni-7B and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (5.3 vs 6.8). See the full comparison above for benchmark-by-benchmark results.