Model Comparison
Gemini 3.5 Flash-Lite vs o4-miniWhich is better in 2026?
Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 3.5 Flash-Lite is 2.3x cheaper per token.
Verdict: Gemini 3.5 Flash-Lite vs o4-mini — which is better?
Gemini 3.5 Flash-Lite (by Google) and o4-mini (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 3.5 Flash-Lite outperforms in 1 benchmarks (CharXiv-R), while o4-mini is better at 0 benchmarks. Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.
On price, Gemini 3.5 Flash-Lite is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 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 Gemini 3.5 Flash-Lite if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.3x 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 Jul 2026
Choose o4-mini if…
- you want predictable pricing at $1.10/M input and $4.40/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (CharXiv-R), while o4-mini is better at 0 benchmarks.
Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 3.7x cheaper than o4-mini ($1.10/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 1.8x cheaper than o4-mini ($4.40/1M tokens).
In conclusion, o4-mini is more expensive than Gemini 3.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to o4-mini's 200,000 tokens. o4-mini can generate longer responses up to 100,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash-Lite and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
o4-mini
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 3.5 Flash-Lite was released on 2026-07-21, while o4-mini was released on 2025-04-16.
Gemini 3.5 Flash-Lite is 15 months newer than o4-mini.
Jul 21, 2026
4 days ago
1.3yr newerApr 16, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while o4-mini has a cutoff of 2024-05-31.
Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).
Mar 2026
1.8 yr newerMay 2024
Provider Availability
Gemini 3.5 Flash-Lite is available from Google. o4-mini is available from OpenAI.
Gemini 3.5 Flash-Lite
o4-mini
Outputs Comparison
Key Takeaways
o4-mini
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and o4-mini side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs o4-mini.