Model Comparison

GPT-5 High vs Gemini Diffusion

GPT-5 High significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

GPT-5 High significantly outperforms across most benchmarks.

Wed Apr 15 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 15 2026 • llm-stats.com
OpenAI
GPT-5 High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Google
Gemini Diffusion
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

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

OpenAI
GPT-5 High
Input400,000 tokens
Output128,000 tokens
Google
Gemini Diffusion
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-5 High

Text
Images
Audio
Video

Gemini Diffusion

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.

GPT-5 High

Proprietary

Closed source

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

GPT-5 High

Aug 7, 2025

8 months ago

2mo newer
Gemini Diffusion

May 20, 2025

11 months ago

Knowledge Cutoff

When training data ends

GPT-5 High has a documented knowledge cutoff of 2024-09-30, while Gemini Diffusion's cutoff date is not specified.

We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without Gemini Diffusion's cutoff date.

GPT-5 High

Sep 2024

Gemini Diffusion

Outputs Comparison

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Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (94.6% vs 23.3%)
Higher GPQA score (87.3% vs 40.4%)

Detailed Comparison

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

FAQ

Common questions about GPT-5 High vs Gemini Diffusion

GPT-5 High significantly outperforms across most benchmarks. GPT-5 High is made by OpenAI and Gemini Diffusion is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5 High scores AIME 2025: 94.6%, GPQA: 87.3%. Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%.
GPT-5 High supports 400K 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.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
GPT-5 High is developed by OpenAI and Gemini Diffusion is developed by Google.