Model Comparison

Gemini 2.0 Flash Thinking vs Gemini 1.0 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 Gemini 1.0 Pro is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Thu Apr 02 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 02 2026 • llm-stats.com
Google
Gemini 2.0 Flash Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
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Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Gemini 1.0 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

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Gemini 1.0 Pro was released on 2024-02-15.

Gemini 2.0 Flash Thinking is 11 months newer than Gemini 1.0 Pro.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.2 years ago

11mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while Gemini 1.0 Pro has a cutoff of 2024-02-01.

Gemini 2.0 Flash Thinking has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 2.0 Flash Thinking

Aug 2024

6 mo newer
Gemini 1.0 Pro

Feb 2024

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Higher GPQA score (74.2% vs 27.9%)
Higher MMMU score (75.4% vs 47.9%)
Google
Larger context window (32,760 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Google
Gemini 1.0 Pro

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Gemini 1.0 Pro

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking is made by Google and Gemini 1.0 Pro is made by Google. 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%. Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%.
Gemini 2.0 Flash Thinking supports an unknown number of tokens and Gemini 1.0 Pro supports 33K 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.