Grok 4.7 vs QwQ-32B-Preview
Grok 4.7 leads the LLM Stats Score 48.5 to 9.0. QwQ-32B-Preview is 18.5x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 9.0, ranking #22 overall.
On price, QwQ-32B-Preview is roughly 18.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.
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 process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose QwQ-32B-Preview
- cost matters — it's about 18.5x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Grok 4.7 · 4 for QwQ-32B-Preview
Grok 4.7 and QwQ-32B-Previewdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Grok 4.7 ($2.00/1M tokens) is 13.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 30.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Grok 4.7 is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.7 accepts 500,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Only QwQ-32B-Preview specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.7 supports multimodal inputs, whereas QwQ-32B-Preview 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
QwQ-32B-Preview
License
Usage and distribution terms
Grok 4.7 is licensed under a proprietary license, while QwQ-32B-Preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Grok 4.7 was released on 2026-09-21, while QwQ-32B-Preview was released on 2024-11-28.
Grok 4.7 is 22 months newer than QwQ-32B-Preview.
Sep 21, 2026
0 days ago
1.8yr newerNov 28, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a knowledge cutoff of 2026-05-01, while QwQ-32B-Preview 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-Preview (2024-11-28).
May 2026
1.5 yr newerNov 2024
Provider Availability
Grok 4.7 is available from xAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Grok 4.7
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs QwQ-32B-Preview.