Model Comparison

Qwen3 VL 4B Thinking vs Qwen3.8 MaxWhich is better in 2026?

Qwen3.8 Max significantly outperforms across most benchmarks.

Verdict: Qwen3 VL 4B Thinking vs Qwen3.8 Max — which is better?

Qwen3 VL 4B Thinking (by Alibaba Cloud / Qwen Team) and Qwen3.8 Max (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.

Qwen3 VL 4B Thinking outperforms in 0 benchmarks, while Qwen3.8 Max is better at 6 benchmarks (ERQA, GPQA, LVBench, MMMU-Pro, RealWorldQA, ScreenSpot Pro). Qwen3.8 Max significantly outperforms across most benchmarks.

Choose Qwen3 VL 4B Thinking if…

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Max if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Qwen3 VL 4B Thinking outperforms in 0 benchmarks, while Qwen3.8 Max is better at 6 benchmarks (ERQA, GPQA, LVBench, MMMU-Pro, RealWorldQA, ScreenSpot Pro).

Qwen3.8 Max significantly outperforms across most benchmarks.

Mon Aug 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2396.0B diff

Qwen3.8 Max has 2396.0B more parameters than Qwen3 VL 4B Thinking, making it 59900.0% larger.

Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
4.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
4.0B
Qwen3 VL 4B Thinking
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

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

Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input- tokens
Output- tokens
Mon Aug 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3 VL 4B Thinking and Qwen3.8 Max support multimodal inputs.

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

Qwen3 VL 4B Thinking

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3 VL 4B Thinking is licensed under Apache 2.0, while Qwen3.8 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Qwen3.8 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3 VL 4B Thinking was released on 2025-09-22, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 10 months newer than Qwen3 VL 4B Thinking.

Qwen3 VL 4B Thinking

Sep 22, 2025

10 months ago

Qwen3.8 Max

Aug 2, 2026

1 days ago

10mo 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 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.8 Max

View details

Alibaba Cloud / Qwen Team

Higher ERQA score (77.8% vs 47.3%)
Higher GPQA score (92.6% vs 64.1%)
Higher LVBench score (81.8% vs 53.5%)
Higher MMMU-Pro score (82.3% vs 57.0%)
Higher RealWorldQA score (88.0% vs 73.2%)
Higher ScreenSpot Pro score (84.5% vs 49.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3 VL 4B Thinking and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Qwen3 VL 4B Thinking
✓ Preferred
Qwen3.8 Max
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
Alibaba Cloud / Qwen Team
Qwen3.8 Max

FAQ

Common questions about Qwen3 VL 4B Thinking vs Qwen3.8 Max.

Which is better, Qwen3 VL 4B Thinking or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is made by Alibaba Cloud / Qwen Team and Qwen3.8 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3 VL 4B Thinking compare to Qwen3.8 Max in benchmarks?

Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%. Qwen3.8 Max scores PaperBench: 93.0%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%, Terminal-Bench 2.1: 86.6%.

What are the context window sizes for Qwen3 VL 4B Thinking and Qwen3.8 Max?

Qwen3 VL 4B Thinking supports 262K tokens and Qwen3.8 Max supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3 VL 4B Thinking and Qwen3.8 Max?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.