Model Comparison

Qwen2.5 VL 7B Instruct vs Qwen3-Next-80B-A3B-Thinking

Comparing Qwen2.5 VL 7B Instruct and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2.5 VL 7B Instruct and Qwen3-Next-80B-A3B-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

71.7B diff

Qwen3-Next-80B-A3B-Thinking has 71.7B more parameters than Qwen2.5 VL 7B Instruct, making it 865.0% larger.

Qwen2.5 VL 7B Instruct

8.3Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

8.3B

Qwen2.5 VL 7B Instruct

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Qwen2.5 VL 7B Instruct

Input- tokens

Output- tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5 VL 7B Instruct

Text

Images

Audio

Video

Qwen3-Next-80B-A3B-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-Next-80B-A3B-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-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 8 months newer than Qwen2.5 VL 7B Instruct.

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 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

Supports multimodal inputs

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (65,536 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2.5 VL 7B Instruct	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Qwen2.5 VL 7B Instruct vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Qwen2.5 VL 7B Instruct or Qwen3-Next-80B-A3B-Thinking?

Qwen2.5 VL 7B Instruct (Alibaba Cloud / Qwen Team) and Qwen3-Next-80B-A3B-Thinking (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 Qwen2.5 VL 7B Instruct compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for Qwen2.5 VL 7B Instruct and Qwen3-Next-80B-A3B-Thinking?

Qwen2.5 VL 7B Instruct supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 VL 7B Instruct and Qwen3-Next-80B-A3B-Thinking?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.