Model Comparison

Gemini Diffusion vs GPT-5.1 Thinking

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while GPT-5.1 Thinking is better at 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified).

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Google
Gemini Diffusion
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-5.1 Thinking
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Only GPT-5.1 Thinking specifies input context (400,000 tokens). Only GPT-5.1 Thinking specifies output context (128,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
OpenAI
GPT-5.1 Thinking
Input400,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Thinking supports multimodal inputs, whereas Gemini Diffusion does not.

GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

GPT-5.1 Thinking

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-5.1 Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while GPT-5.1 Thinking was released on 2025-11-12.

GPT-5.1 Thinking is 6 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

11 months ago

GPT-5.1 Thinking

Nov 12, 2025

5 months ago

5mo newer

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

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Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (94.0% vs 23.3%)
Higher GPQA score (88.1% vs 40.4%)
Higher SWE-Bench Verified score (76.3% vs 22.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
OpenAI
GPT-5.1 Thinking

FAQ

Common questions about Gemini Diffusion vs GPT-5.1 Thinking

GPT-5.1 Thinking significantly outperforms across most benchmarks. Gemini Diffusion is made by Google and GPT-5.1 Thinking 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-5.1 Thinking scores Tau2 Telecom: 95.6%, AIME 2025: 94.0%, BrowseComp Long Context 128k: 90.0%, GPQA: 88.1%, MMMU: 85.4%.
Gemini Diffusion supports an unknown number of tokens and GPT-5.1 Thinking 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-5.1 Thinking is developed by OpenAI.