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Grok 4.7 vs Qwen3 VL 32B Thinking

Grok 4.7 leads the LLM Stats Score 48.5 to 23.5.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 23.5, ranking #22 overall.

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

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #22 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Grok 4.7
xAI
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
48.5
#22
23.5
#177
Reasoning
37.4
#68
24.7
#156
Agents
36.3
#18
12.9
#100
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000
—

Individual benchmarks

23 reported for Grok 4.7 · 47 for Qwen3 VL 32B Thinking

No common benchmarks found

Grok 4.7 and Qwen3 VL 32B Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok 4.7 and Qwen3 VL 32B Thinking support multimodal inputs.

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

Grok 4.7

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

Grok 4.7

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Grok 4.7 is 12 months newer than Qwen3 VL 32B Thinking.

Grok 4.7

Sep 21, 2026

0 days ago

12mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

12 months ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Grok 4.7

Jun 2026

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Grok 4.7 vs Qwen3 VL 32B Thinking.

Which is better, Grok 4.7 or Qwen3 VL 32B Thinking?

Grok 4.7 leads the LLM Stats Score 48.5 to 23.5. Grok 4.7 is made by xAI and Qwen3 VL 32B Thinking 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 4.7 compare to Qwen3 VL 32B Thinking in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Grok 4.7 and Qwen3 VL 32B Thinking?

Grok 4.7 supports 500K tokens and Qwen3 VL 32B Thinking 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 4.7 and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (48.5 vs 23.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Qwen3 VL 32B Thinking?

Grok 4.7 is developed by xAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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