Model Comparison

Gemini Diffusion vs o3

o3 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 o3 is better at 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified).

o3 significantly outperforms across most benchmarks.

Wed Apr 22 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 22 2026 • llm-stats.com
Google
Gemini Diffusion
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
o3
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only o3 specifies input context (200,000 tokens). Only o3 specifies output context (100,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas Gemini Diffusion does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

o3

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

o3

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while o3 was released on 2025-04-16.

Gemini Diffusion is 1 month newer than o3.

Gemini Diffusion

May 20, 2025

11 months ago

1mo newer
o3

Apr 16, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while Gemini Diffusion's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without Gemini Diffusion's cutoff date.

Gemini Diffusion

—

o3

May 2024

Outputs Comparison

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Key Takeaways

Google
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (86.4% vs 23.3%)
Higher GPQA score (83.3% vs 40.4%)
Higher SWE-Bench Verified score (69.1% vs 22.9%)
GoogleGemini Diffusion
OpenAIo3
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
OpenAI
o3

FAQ

Common questions about Gemini Diffusion vs o3

o3 significantly outperforms across most benchmarks. Gemini Diffusion is made by Google and o3 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%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.
Gemini Diffusion supports an unknown number of tokens and o3 supports 200K 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 o3 is developed by OpenAI.