Model Comparison

Gemini Diffusion vs Nova ProWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Gemini Diffusion vs Nova Pro — which is better?

Gemini Diffusion (by Google) and Nova Pro (by Amazon) 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.

Gemini Diffusion outperforms in 1 benchmarks (HumanEval), while Nova Pro is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

Choose Gemini Diffusion if…

  • you want the most recent training data — it shipped May 2025

Choose Nova Pro if…

  • you want predictable pricing at $0.80/M input and $3.20/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini Diffusion outperforms in 1 benchmarks (HumanEval), while Nova Pro is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Nova Pro specifies input context (300,000 tokens). Only Nova Pro specifies output context (300,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas Gemini Diffusion does not.

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

Gemini Diffusion

Text
Images
Audio
Video

Nova Pro

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

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Nova Pro was released on 2024-11-20.

Gemini Diffusion is 6 months newer than Nova Pro.

Gemini Diffusion

May 20, 2025

1.0 years ago

6mo newer
Nova Pro

Nov 20, 2024

1.5 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

Google
Higher HumanEval score (89.6% vs 89.0%)
Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher GPQA score (46.9% vs 40.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
Amazon
Nova Pro

FAQ

Common questions about Gemini Diffusion vs Nova Pro.

Which is better, Gemini Diffusion or Nova Pro?

Both models are evenly matched across the benchmarks. Gemini Diffusion is made by Google and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini Diffusion compare to Nova Pro in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

What are the context window sizes for Gemini Diffusion and Nova Pro?

Gemini Diffusion supports an unknown number of tokens and Nova Pro supports 300K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini Diffusion and Nova Pro?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Nova Pro?

Gemini Diffusion is developed by Google and Nova Pro is developed by Amazon.

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