Model Comparison

Gemini 2.0 Flash Thinking vs Nova Pro

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash Thinking outperforms in 2 benchmarks (GPQA, MMMU), while Nova Pro is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Wed Apr 01 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 01 2026 • llm-stats.com
Google
Gemini 2.0 Flash Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

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 2.0 Flash Thinking
Input- tokens
Output- tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Wed Apr 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash Thinking and Nova Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash Thinking

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 2.0 Flash Thinking

Proprietary

Closed source

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Nova Pro was released on 2024-11-20.

Gemini 2.0 Flash Thinking is 2 months newer than Nova Pro.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.2 years ago

2mo newer
Nova Pro

Nov 20, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Nova Pro's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Nova Pro's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Nova Pro

—

Outputs Comparison

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Key Takeaways

Google
Higher GPQA score (74.2% vs 46.9%)
Higher MMMU score (75.4% vs 61.7%)
Amazon
Larger context window (300,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Amazon
Nova Pro

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Nova Pro

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking 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.
Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.
Gemini 2.0 Flash Thinking 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.
Gemini 2.0 Flash Thinking is developed by Google and Nova Pro is developed by Amazon.