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Grok 4.7 vs QwQ-32B

Grok 4.7 leads the LLM Stats Score 48.5 to 14.8.

xAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 14.8, 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 coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose QwQ-32B

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

At a glance

The differences that matter most.

Core performance indexes
48.5
#22
14.8
#235
37.4
#68
15.6
#225
40.1
#13
10.3
#167
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 · 7 for QwQ-32B

No common benchmarks found

Grok 4.7 and QwQ-32Bdon'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
QwQ-32B
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas QwQ-32B does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.7

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while QwQ-32B 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

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while QwQ-32B was released on 2025-03-05.

Grok 4.7 is 19 months newer than QwQ-32B.

Grok 4.7

Sep 21, 2026

0 days ago

1.5yr newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a knowledge cutoff of 2026-05-01, while QwQ-32B has a cutoff of 2024-11-28.

Grok 4.7 has more recent training data (up to 2026-05-01), making it potentially better informed about events through that date compared to QwQ-32B (2024-11-28).

Grok 4.7

May 2026

1.5 yr newer
QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Grok 4.7
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about Grok 4.7 vs QwQ-32B.

Which is better, Grok 4.7 or QwQ-32B?

Grok 4.7 leads the LLM Stats Score 48.5 to 14.8. Grok 4.7 is made by xAI and QwQ-32B 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 QwQ-32B 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%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Grok 4.7 and QwQ-32B?

Grok 4.7 supports 500K tokens and QwQ-32B 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 QwQ-32B?

Key differences include LLM Stats Score (48.5 vs 14.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and QwQ-32B?

Grok 4.7 is developed by xAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.