Model Comparison

Gemini Diffusion vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (HumanEval, LiveCodeBench, MBPP).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Mon May 25 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).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

Gemini Diffusion 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.

Gemini Diffusion

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Gemini Diffusion is 8 months newer than Qwen2.5-Coder 32B Instruct.

Gemini Diffusion

May 20, 2025

1.0 years ago

8mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

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

Google

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team
Larger context window (128,000 tokens)
Has open weights
Higher HumanEval score (92.7% vs 89.6%)
Higher LiveCodeBench score (31.4% vs 30.9%)
Higher MBPP score (90.2% vs 76.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Gemini Diffusion vs Qwen2.5-Coder 32B Instruct.

Which is better, Gemini Diffusion or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Gemini Diffusion is made by Google 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 Gemini Diffusion compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. 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 Gemini Diffusion and Qwen2.5-Coder 32B Instruct?

Gemini Diffusion 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 Gemini Diffusion 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 Gemini Diffusion and Qwen2.5-Coder 32B Instruct?

Gemini Diffusion is developed by Google and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.