Model Comparison

Qwen2.5 VL 7B Instruct vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Qwen2.5 VL 7B Instruct outperforms in 3 benchmarks (CC-OCR, MVBench, OCRBench), while Qwen3 VL 8B Thinking is better at 9 benchmarks (CharadesSTA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMMU-Pro, MMStar, ScreenSpot, ScreenSpot Pro).

Qwen3 VL 8B Thinking shows notably better performance in the majority of 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 VL 7B Instruct

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen3 VL 8B Thinking

Input tokens$0.18

Output tokens$2.09

Best providerDeepinfra

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Model Size

Parameter count comparison

710.0M diff

Qwen3 VL 8B Thinking has 0.7B more parameters than Qwen2.5 VL 7B Instruct, making it 8.6% larger.

Qwen2.5 VL 7B Instruct

8.3Bparameters

Qwen3 VL 8B Thinking

9.0Bparameters

8.3B

Qwen2.5 VL 7B Instruct

9.0B

Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Qwen2.5 VL 7B Instruct

Input- tokens

Output- tokens

Qwen3 VL 8B Thinking

Input262,144 tokens

Output262,144 tokens

Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen2.5 VL 7B Instruct and Qwen3 VL 8B Thinking support multimodal inputs.

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

Qwen2.5 VL 7B Instruct

Text

Images

Audio

Video

Qwen3 VL 8B Thinking

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 VL 7B Instruct

Apache 2.0

Open weights

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 VL 7B Instruct was released on 2025-01-26, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 8 months newer than Qwen2.5 VL 7B Instruct.

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.3 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

7 months ago

7mo 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 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher CC-OCR score (77.8% vs 76.3%)

Higher MVBench score (69.6% vs 69.0%)

Higher OCRBench score (86.4% vs 81.9%)

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Higher CharadesSTA score (59.9% vs 43.6%)

Higher Hallusion Bench score (65.4% vs 52.9%)

Higher LVBench score (55.8% vs 45.3%)

Higher MathVision score (62.7% vs 25.1%)

Higher MathVista-Mini score (81.4% vs 68.2%)

Higher MMMU-Pro score (60.4% vs 38.3%)

Higher MMStar score (75.3% vs 63.9%)

Higher ScreenSpot score (93.6% vs 84.7%)

Higher ScreenSpot Pro score (46.6% vs 29.0%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2.5 VL 7B Instruct	Qwen3 VL 8B Thinking

FAQ

Common questions about Qwen2.5 VL 7B Instruct vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks. Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 VL 8B Thinking 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 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Qwen2.5 VL 7B Instruct supports an unknown number of tokens and Qwen3 VL 8B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Qwen2.5 VL 7B Instruct vs Qwen3 VL 8B Thinking

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Qwen2.5 VL 7B Instruct

Qwen3 VL 8B Thinking

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Qwen2.5 VL 7B Instruct

Qwen3 VL 8B Thinking

Detailed Comparison

FAQ

Which is better, Qwen2.5 VL 7B Instruct or Qwen3 VL 8B Thinking?

How does Qwen2.5 VL 7B Instruct compare to Qwen3 VL 8B Thinking in benchmarks?

What are the context window sizes for Qwen2.5 VL 7B Instruct and Qwen3 VL 8B Thinking?