Model Comparison
Gemini 2.0 Flash-Lite vs o1-previewWhich is better in 2026?
o1-preview shows notably better performance in the majority of benchmarks. Gemini 2.0 Flash-Lite is 205.9x cheaper per token.
Verdict: Gemini 2.0 Flash-Lite vs o1-preview — which is better?
Gemini 2.0 Flash-Lite (by Google) and o1-preview (by OpenAI) 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 2.0 Flash-Lite outperforms in 1 benchmarks (MATH), while o1-preview is better at 2 benchmarks (GPQA, SimpleQA). o1-preview shows notably better performance in the majority of benchmarks.
On price, Gemini 2.0 Flash-Lite is roughly 205.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 2.0 Flash-Lite if…
- cost matters — it's about 205.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Feb 2025
Choose o1-preview if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.0 Flash-Lite outperforms in 1 benchmarks (MATH), while o1-preview is better at 2 benchmarks (GPQA, SimpleQA).
o1-preview shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 214.3x cheaper than o1-preview ($15.00/1M tokens).
For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 200.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than Gemini 2.0 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash-Lite accepts 1,048,576 input tokens compared to o1-preview's 128,000 tokens. o1-preview can generate longer responses up to 32,768 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.0 Flash-Lite supports multimodal inputs, whereas o1-preview does not.
Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.0 Flash-Lite
o1-preview
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.0 Flash-Lite was released on 2025-02-05, while o1-preview was released on 2024-09-12.
Gemini 2.0 Flash-Lite is 5 months newer than o1-preview.
Feb 5, 2025
1.5 years ago
4mo newerSep 12, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while o1-preview's cutoff date is not specified.
We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without o1-preview's cutoff date.
Jun 2024
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Provider Availability
Gemini 2.0 Flash-Lite is available from Google. o1-preview is available from OpenAI, Azure.
Gemini 2.0 Flash-Lite
o1-preview
Outputs Comparison
Key Takeaways
o1-preview
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash-Lite and o1-preview side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 2.0 Flash-Lite vs o1-preview.