Model Comparison

Gemini Diffusion vs GPT-5 nano

GPT-5 nano significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while GPT-5 nano is better at 2 benchmarks (AIME 2025, GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
Google
Gemini Diffusion
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Gemini Diffusion does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini Diffusion

Proprietary

Closed source

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 3 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

11 months ago

GPT-5 nano

Aug 7, 2025

8 months ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Gemini Diffusion's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Gemini Diffusion's cutoff date.

Gemini Diffusion

—

GPT-5 nano

May 2024

Outputs Comparison

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Key Takeaways

Google
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (85.2% vs 23.3%)
Higher GPQA score (71.2% vs 40.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
OpenAI
GPT-5 nano

FAQ

Common questions about Gemini Diffusion vs GPT-5 nano

GPT-5 nano significantly outperforms across most benchmarks. Gemini Diffusion is made by Google and GPT-5 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.
Gemini Diffusion supports an unknown number of tokens and GPT-5 nano supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
Gemini Diffusion is developed by Google and GPT-5 nano is developed by OpenAI.