Model Comparison

DeepSeek-V3.2-Speciale vs Gemini DiffusionWhich is better in 2026?

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

Verdict: DeepSeek-V3.2-Speciale vs Gemini Diffusion — which is better?

DeepSeek-V3.2-Speciale (by DeepSeek) and Gemini Diffusion (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V3.2-Speciale outperforms in 2 benchmarks (AIME 2025, SWE-Bench Verified), while Gemini Diffusion is better at 0 benchmarks. DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.

Choose DeepSeek-V3.2-Speciale if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Choose Gemini Diffusion if…

  • you are already invested in the Google ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

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

Tue Jun 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Google
Gemini Diffusion
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Speciale 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-Speciale

MIT

Open weights

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Gemini Diffusion was released on 2025-05-20.

DeepSeek-V3.2-Speciale is 7 months newer than Gemini Diffusion.

DeepSeek-V3.2-Speciale

Dec 1, 2025

6 months ago

6mo newer
Gemini Diffusion

May 20, 2025

1.1 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

DeepSeek
Larger context window (131,072 tokens)
Has open weights
Higher AIME 2025 score (96.0% vs 23.3%)
Higher SWE-Bench Verified score (73.1% 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-Speciale
Google
Gemini Diffusion

FAQ

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

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

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale 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-Speciale compare to Gemini Diffusion in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. 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-Speciale and Gemini Diffusion?

DeepSeek-V3.2-Speciale supports 131K 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-Speciale 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-Speciale and Gemini Diffusion?

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

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