Model Comparison

Qwen3-Next-80B-A3B-Base vs Qwen3 VL 4B InstructWhich is better in 2026?

Comparing Qwen3-Next-80B-A3B-Base and Qwen3 VL 4B Instruct across benchmarks, pricing, and capabilities.

Verdict: Qwen3-Next-80B-A3B-Base vs Qwen3 VL 4B Instruct — which is better?

Qwen3-Next-80B-A3B-Base (by Alibaba Cloud / Qwen Team) and Qwen3 VL 4B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Qwen3-Next-80B-A3B-Base if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3 VL 4B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3-Next-80B-A3B-Base and Qwen3 VL 4B Instruct 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

76.0B diff

Qwen3-Next-80B-A3B-Base has 76.0B more parameters than Qwen3 VL 4B Instruct, making it 1900.0% larger.

Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
80.0B
Qwen3-Next-80B-A3B-Base
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-Next-80B-A3B-Base

Text
Images
Audio
Video

Qwen3 VL 4B 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.

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-Next-80B-A3B-Base was released on 2025-09-10, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 0 month newer than Qwen3-Next-80B-A3B-Base.

Qwen3-Next-80B-A3B-Base

Sep 10, 2025

9 months ago

Qwen3 VL 4B Instruct

Sep 22, 2025

8 months ago

1w 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about Qwen3-Next-80B-A3B-Base vs Qwen3 VL 4B Instruct.

Which is better, Qwen3-Next-80B-A3B-Base or Qwen3 VL 4B Instruct?

Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) and Qwen3 VL 4B Instruct (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 Qwen3-Next-80B-A3B-Base compare to Qwen3 VL 4B Instruct in benchmarks?

Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Qwen3-Next-80B-A3B-Base and Qwen3 VL 4B Instruct?

Qwen3-Next-80B-A3B-Base supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-Next-80B-A3B-Base and Qwen3 VL 4B Instruct?

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