Grok-2 mini vs Qwen2.5-Coder 32B Instruct
Grok-2 mini leads the LLM Stats Score 8.7 to 2.1.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok-2 mini leads the overall LLM Stats Score 8.7 to 2.1, ranking #275 overall.
In the 4 individual benchmarks reported for both models, Grok-2 mini 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 mini
- overall performance matters — it scores 8.7 and ranks #275 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
Choose Qwen2.5-Coder 32B Instruct
- you want the most recent training data — it shipped Sep 2024
- 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 mini · 15 for Qwen2.5-Coder 32B Instruct
Grok-2 mini outperforms in 3 benchmarks (MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (HumanEval).
Grok-2 mini shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Grok-2 mini supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.
Grok-2 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-2 mini
Qwen2.5-Coder 32B Instruct
License
Usage and distribution terms
Grok-2 mini is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct 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 mini was released on 2024-08-13, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Qwen2.5-Coder 32B Instruct is 1 month newer than Grok-2 mini.
Aug 13, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
1mo 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 mini and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-2 mini vs Qwen2.5-Coder 32B Instruct.