Model Comparison

Gemini 3 Flash vs Gemini 2.0 Flash ThinkingWhich is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks.

Verdict: Gemini 3 Flash vs Gemini 2.0 Flash Thinking — which is better?

Gemini 3 Flash (by Google) and Gemini 2.0 Flash Thinking (by Google) 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 3 Flash outperforms in 1 benchmarks (GPQA), while Gemini 2.0 Flash Thinking is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.

Choose Gemini 3 Flash if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Gemini 2.0 Flash Thinking if…

  • you are already invested in the Google ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Flash outperforms in 1 benchmarks (GPQA), while Gemini 2.0 Flash Thinking is better at 0 benchmarks.

Gemini 3 Flash significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3 Flash specifies input context (1,000,000 tokens). Only Gemini 3 Flash specifies output context (65,536 tokens).

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Flash and Gemini 2.0 Flash Thinking support multimodal inputs.

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

Gemini 3 Flash

Text
Images
Audio
Video

Gemini 2.0 Flash 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 3 Flash

Proprietary

Closed source

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while Gemini 2.0 Flash Thinking was released on 2025-01-21.

Gemini 3 Flash is 11 months newer than Gemini 2.0 Flash Thinking.

Gemini 3 Flash

Dec 17, 2025

5 months ago

11mo newer
Gemini 2.0 Flash Thinking

Jan 21, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while Gemini 2.0 Flash Thinking has a cutoff of 2024-08-01.

Gemini 3 Flash has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemini 2.0 Flash Thinking (2024-08-01).

Gemini 3 Flash

Jan 2025

5 mo newer
Gemini 2.0 Flash Thinking

Aug 2024

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,000,000 tokens)
Higher GPQA score (90.4% vs 74.2%)
Google

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
Google
Gemini 2.0 Flash Thinking

FAQ

Common questions about Gemini 3 Flash vs Gemini 2.0 Flash Thinking.

Which is better, Gemini 3 Flash or Gemini 2.0 Flash Thinking?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is made by Google and Gemini 2.0 Flash Thinking is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Flash compare to Gemini 2.0 Flash Thinking in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.

What are the context window sizes for Gemini 3 Flash and Gemini 2.0 Flash Thinking?

Gemini 3 Flash supports 1.0M tokens and Gemini 2.0 Flash Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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