Model Comparison
o1 vs Gemini 2.5 Flash-LiteWhich is better in 2026?
o1 significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 150.0x cheaper per token.
Verdict: o1 vs Gemini 2.5 Flash-Lite — which is better?
o1 (by OpenAI) and Gemini 2.5 Flash-Lite (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.
o1 outperforms in 4 benchmarks (GPQA, MMMU, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Flash-Lite is better at 0 benchmarks. o1 significantly outperforms across most benchmarks.
On price, Gemini 2.5 Flash-Lite is roughly 150.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 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 o1 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
Choose Gemini 2.5 Flash-Lite if…
- cost matters — it's about 150.0x 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 Jun 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
o1 outperforms in 4 benchmarks (GPQA, MMMU, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Flash-Lite is better at 0 benchmarks.
o1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o1 ($15.00/1M tokens) is 150.0x more expensive than Gemini 2.5 Flash-Lite ($0.10/1M tokens).
For output processing, o1 ($60.00/1M tokens) is 150.0x more expensive than Gemini 2.5 Flash-Lite ($0.40/1M tokens).
In conclusion, o1 is more expensive than Gemini 2.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to o1's 200,000 tokens. o1 can generate longer responses up to 100,000 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Flash-Lite supports multimodal inputs, whereas o1 does not.
Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1
Gemini 2.5 Flash-Lite
License
Usage and distribution terms
o1 is licensed under a proprietary license, while Gemini 2.5 Flash-Lite uses Creative Commons Attribution 4.0 License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Creative Commons Attribution 4.0 License
Open weights
Release Timeline
When each model was launched
o1 was released on 2024-12-17, while Gemini 2.5 Flash-Lite was released on 2025-06-17.
Gemini 2.5 Flash-Lite is 6 months newer than o1.
Dec 17, 2024
1.5 years ago
Jun 17, 2025
11 months ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while o1's cutoff date is not specified.
We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without o1's cutoff date.
—
Jan 2025
Provider Availability
o1 is available from Azure, OpenAI. Gemini 2.5 Flash-Lite is available from Google.
o1
Gemini 2.5 Flash-Lite
Outputs Comparison
Key Takeaways
o1
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about o1 vs Gemini 2.5 Flash-Lite.