Model Comparison

DeepSeek-V3.2-Exp vs Gemini Diffusion

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.2-Exp outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, SWE-Bench Verified), while Gemini Diffusion is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Google
Gemini Diffusion
Input- tokens
Output- tokens
Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Gemini Diffusion uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2-Exp

MIT

Open weights

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemini Diffusion was released on 2025-05-20.

DeepSeek-V3.2-Exp is 4 months newer than Gemini Diffusion.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

4mo newer
Gemini Diffusion

May 20, 2025

11 months 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

DeepSeek
Larger context window (163,840 tokens)
Has open weights
Higher AIME 2025 score (89.3% vs 23.3%)
Higher GPQA score (79.9% vs 40.4%)
Higher LiveCodeBench score (74.1% vs 30.9%)
Higher SWE-Bench Verified score (67.8% vs 22.9%)
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Google
Gemini Diffusion

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemini Diffusion.

Which is better, DeepSeek-V3.2-Exp or Gemini Diffusion?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Gemini Diffusion is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2-Exp compare to Gemini Diffusion in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%.

What are the context window sizes for DeepSeek-V3.2-Exp and Gemini Diffusion?

DeepSeek-V3.2-Exp supports 164K tokens and Gemini Diffusion supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and Gemini Diffusion?

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

Who makes DeepSeek-V3.2-Exp and Gemini Diffusion?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemini Diffusion is developed by Google.