The AI arena is free today

Open Superagent

Grok-4.1 Thinking vs Qwen3 VL 32B Instruct

Grok-4.1 Thinking and Qwen3 VL 32B Instruct are closely matched at 16.0 and 20.2 on the LLM Stats Score.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok-4.1 Thinking and Qwen3 VL 32B Instruct are closely matched on the overall LLM Stats Score at 16.0 and 20.2.

In the 1 individual benchmarks reported for both models, Grok-4.1 Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Grok-4.1 Thinking

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2025

Choose Qwen3 VL 32B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
16.0
#241
20.2
#211
1.3
#184
9.5
#139
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
256,000
—

Individual benchmarks

11 reported for Grok-4.1 Thinking · 45 for Qwen3 VL 32B Instruct

1 shared

Grok-4.1 Thinking outperforms in 1 benchmarks (Creative Writing v3), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

Grok-4.1 Thinking significantly outperforms across most benchmarks.

Wed Oct 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok-4.1 Thinking specifies input context (256,000 tokens). Only Grok-4.1 Thinking specifies output context (8,000 tokens).

xAI
Grok-4.1 Thinking
Input256,000 tokens
Output8,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok-4.1 Thinking and Qwen3 VL 32B Instruct support multimodal inputs.

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

Grok-4.1 Thinking

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-4.1 Thinking is licensed under a proprietary license, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

Grok-4.1 Thinking

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-4.1 Thinking was released on 2025-11-17, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Grok-4.1 Thinking is 2 months newer than Qwen3 VL 32B Instruct.

Grok-4.1 Thinking

Nov 17, 2025

10 months ago

1mo newer
Qwen3 VL 32B Instruct

Sep 22, 2025

1.1 years ago

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?

Judge for yourself.

Run your own prompts against Grok-4.1 Thinking and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Grok-4.1 Thinking
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about Grok-4.1 Thinking vs Qwen3 VL 32B Instruct.

Which is better, Grok-4.1 Thinking or Qwen3 VL 32B Instruct?

Grok-4.1 Thinking and Qwen3 VL 32B Instruct are closely matched on the LLM Stats Score at 16.0 and 20.2. Grok-4.1 Thinking is made by xAI and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Grok-4.1 Thinking compare to Qwen3 VL 32B Instruct in benchmarks?

Grok-4.1 Thinking scores Creative Writing v3: 86.1%, WMDP: 84.0%, EQ-Bench: 79.3%, ProtocolQA: 79.0%, LMArena Text Leaderboard: 74.2%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Grok-4.1 Thinking and Qwen3 VL 32B Instruct?

Grok-4.1 Thinking supports 256K tokens and Qwen3 VL 32B Instruct 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 Grok-4.1 Thinking and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (16.0 vs 20.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-4.1 Thinking and Qwen3 VL 32B Instruct?

Grok-4.1 Thinking is developed by xAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.