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Grok 4.7 vs Qwen2-VL-72B-Instruct

Grok 4.7 leads the LLM Stats Score 48.5 to 14.3.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 14.3, ranking #23 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 #23 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen2-VL-72B-Instruct

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

At a glance

The differences that matter most.

Grok 4.7
xAI
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
48.5
#23
14.3
#240
Reasoning
37.4
#69
11.6
#255
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 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Grok 4.7 and Qwen2-VL-72B-Instructdon'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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok 4.7 and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Grok 4.7

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Grok 4.7

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Grok 4.7 is 25 months newer than Qwen2-VL-72B-Instruct.

Grok 4.7

Sep 21, 2026

1 days ago

2.1yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a knowledge cutoff of 2026-06-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Grok 4.7

Jun 2026

3 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Grok 4.7 vs Qwen2-VL-72B-Instruct.

Which is better, Grok 4.7 or Qwen2-VL-72B-Instruct?

Grok 4.7 leads the LLM Stats Score 48.5 to 14.3. Grok 4.7 is made by xAI and Qwen2-VL-72B-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 4.7 compare to Qwen2-VL-72B-Instruct 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%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Grok 4.7 and Qwen2-VL-72B-Instruct?

Grok 4.7 supports 500K tokens and Qwen2-VL-72B-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 4.7 and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (48.5 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Qwen2-VL-72B-Instruct?

Grok 4.7 is developed by xAI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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