Model Comparison

Gemini 2.0 Flash-Lite vs Gemini 2.0 Flash Thinking

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Mon Apr 13 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
Mon Apr 13 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Google
Gemini 2.0 Flash Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Gemini 2.0 Flash Thinking support multimodal inputs.

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

Gemini 2.0 Flash-Lite

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 2.0 Flash-Lite

Proprietary

Closed source

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Gemini 2.0 Flash Thinking was released on 2025-01-21.

Gemini 2.0 Flash-Lite is 1 month newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.2 years ago

2w newer
Gemini 2.0 Flash Thinking

Jan 21, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, while Gemini 2.0 Flash Thinking has a cutoff of 2024-08-01.

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 2.0 Flash-Lite (2024-06-01).

Gemini 2.0 Flash-Lite

Jun 2024

Gemini 2.0 Flash Thinking

Aug 2024

2 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Google
Higher GPQA score (74.2% vs 51.5%)
Higher MMMU score (75.4% vs 68.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash Thinking

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Gemini 2.0 Flash Thinking

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite 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.
Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.
Gemini 2.0 Flash-Lite 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.