Model Comparison

Grok-1.5V vs Qwen3 VL 4B Instruct

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Grok-1.5V outperforms in 1 benchmarks (AI2D), while Qwen3 VL 4B Instruct is better at 1 benchmark (RealWorldQA).

Both models are evenly matched across the benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

Grok-1.5V

Input- tokens

Output- tokens

Qwen3 VL 4B Instruct

Input262,144 tokens

Output262,144 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Grok-1.5V and Qwen3 VL 4B Instruct support multimodal inputs.

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

Grok-1.5V

Text

Images

Audio

Video

Qwen3 VL 4B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Grok-1.5V is licensed under a proprietary license, while Qwen3 VL 4B Instruct uses Apache 2.0.

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

Grok-1.5V

Proprietary

Closed source

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-1.5V was released on 2024-04-12, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 18 months newer than Grok-1.5V.

Grok-1.5V

Apr 12, 2024

2.1 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

8 months ago

1.4yr 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

Grok-1.5V

View details

xAI

Higher AI2D score (88.3% vs 84.1%)

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Has open weights

Higher RealWorldQA score (70.9% vs 68.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Grok-1.5V	Qwen3 VL 4B Instruct

FAQ

Common questions about Grok-1.5V vs Qwen3 VL 4B Instruct.

Which is better, Grok-1.5V or Qwen3 VL 4B Instruct?

Both models are evenly matched across the benchmarks. Grok-1.5V is made by xAI and Qwen3 VL 4B Instruct 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 Grok-1.5V compare to Qwen3 VL 4B Instruct in benchmarks?

Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%. 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 Grok-1.5V and Qwen3 VL 4B Instruct?

Grok-1.5V 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 Grok-1.5V and Qwen3 VL 4B Instruct?

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

Who makes Grok-1.5V and Qwen3 VL 4B Instruct?

Grok-1.5V is developed by xAI and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.