Model Comparison

Qwen2.5-Omni-7B vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Qwen2.5-Omni-7B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 12 benchmarks (AI2D, MathVision, MMBench-V1.1, MMLU-Pro, MMLU-Redux, MM-MT-Bench, MMMU-Pro, MMStar, MuirBench, MultiPL-E, ODinW, RealWorldQA).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Fri May 01 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

Fri May 01 2026 • llm-stats.com

Qwen2.5-Omni-7B

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen3 VL 235B A22B Instruct

Input tokens$0.30

Output tokens$1.49

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

229.0B diff

Qwen3 VL 235B A22B Instruct has 229.0B more parameters than Qwen2.5-Omni-7B, making it 3271.4% larger.

Qwen2.5-Omni-7B

7.0Bparameters

Qwen3 VL 235B A22B Instruct

236.0Bparameters

7.0B

Qwen2.5-Omni-7B

236.0B

Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Qwen2.5-Omni-7B

Input- tokens

Output- tokens

Qwen3 VL 235B A22B Instruct

Input262,144 tokens

Output262,144 tokens

Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen2.5-Omni-7B and Qwen3 VL 235B A22B 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

Qwen3 VL 235B A22B 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

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Omni-7B was released on 2025-03-27, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 6 months newer than Qwen2.5-Omni-7B.

Qwen2.5-Omni-7B

Mar 27, 2025

1.1 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

7 months ago

5mo 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

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Qwen3 VL 235B A22B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Higher AI2D score (89.7% vs 83.2%)

Higher MathVision score (66.5% vs 25.0%)

Higher MMBench-V1.1 score (89.9% vs 81.8%)

Higher MMLU-Pro score (81.8% vs 47.0%)

Higher MMLU-Redux score (92.2% vs 71.0%)

Higher MM-MT-Bench score (8.5% vs 6.0%)

Higher MMMU-Pro score (68.1% vs 36.6%)

Higher MMStar score (78.4% vs 64.0%)

Higher MuirBench score (72.8% vs 59.2%)

Higher MultiPL-E score (86.1% vs 65.8%)

Higher ODinW score (48.6% vs 42.4%)

Higher RealWorldQA score (79.3% vs 70.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2.5-Omni-7B	Qwen3 VL 235B A22B Instruct

FAQ

Common questions about Qwen2.5-Omni-7B vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

Qwen2.5-Omni-7B supports an unknown number of 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.

Qwen2.5-Omni-7B vs Qwen3 VL 235B A22B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Qwen2.5-Omni-7B

Qwen3 VL 235B A22B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Qwen2.5-Omni-7B

Qwen3 VL 235B A22B Instruct

Detailed Comparison

FAQ

Which is better, Qwen2.5-Omni-7B or Qwen3 VL 235B A22B Instruct?

How does Qwen2.5-Omni-7B compare to Qwen3 VL 235B A22B Instruct in benchmarks?

What are the context window sizes for Qwen2.5-Omni-7B and Qwen3 VL 235B A22B Instruct?