Grok-2 vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking leads the LLM Stats Score 23.5 to 11.5.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 32B Thinking leads the overall LLM Stats Score 23.5 to 11.5, ranking #166 overall.
In the 3 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 3; 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-2
- you want predictable pricing at $2.00/M input and $10.00/M output
Choose Qwen3 VL 32B Thinking
- overall performance matters — it scores 23.5 and ranks #166 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Grok-2 · 47 for Qwen3 VL 32B Thinking
Grok-2 outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Grok-2 specifies input context (128,000 tokens). Only Grok-2 specifies output context (8,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok-2 and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-2
Qwen3 VL 32B Thinking
License
Usage and distribution terms
Grok-2 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Grok-2 was released on 2024-08-13, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 14 months newer than Grok-2.
Aug 13, 2024
2.1 years ago
Sep 22, 2025
11 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-2 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-2 vs Qwen3 VL 32B Thinking.