Model Comparison

Grok-1.5 vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct has a slight edge in benchmark performance.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Grok-1.5 outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (GSM8k, HumanEval, MATH).

Qwen2.5-Coder 32B Instruct has a slight edge in benchmark performance.

Sat May 16 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

xAI
Grok-1.5
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Sat May 16 2026 • llm-stats.com

License

Usage and distribution terms

Grok-1.5 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.

Grok-1.5

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 6 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.1 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

xAI
Higher MMLU score (81.3% vs 75.1%)
Higher MMLU-Pro score (51.0% vs 50.4%)
Alibaba Cloud / Qwen Team
Larger context window (128,000 tokens)
Has open weights
Higher GSM8k score (91.1% vs 90.0%)
Higher HumanEval score (92.7% vs 74.1%)
Higher MATH score (57.2% vs 50.6%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Grok-1.5 vs Qwen2.5-Coder 32B Instruct.

Which is better, Grok-1.5 or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct has a slight edge in benchmark performance. Grok-1.5 is made by xAI and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Grok-1.5 compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Grok-1.5 and Qwen2.5-Coder 32B Instruct?

Grok-1.5 supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok-1.5 and Qwen2.5-Coder 32B Instruct?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5 and Qwen2.5-Coder 32B Instruct?

Grok-1.5 is developed by xAI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.