Model Comparison

Gemini 3.5 Flash-Lite vs o1-miniWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and o1-mini across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs o1-mini — which is better?

Gemini 3.5 Flash-Lite (by Google) and o1-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.

On price, Gemini 3.5 Flash-Lite is roughly 6.2x 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…

  • cost matters — it's about 6.2x 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 o1-mini if…

  • you want predictable pricing at $3.00/M input and $12.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and o1-minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.5 Flash-Lite costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 10.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 4.8x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than Gemini 3.5 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to o1-mini's 128,000 tokens. Both models can generate responses up to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.5 Flash-Lite supports multimodal inputs, whereas o1-mini does not.

Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

o1-mini

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 3.5 Flash-Lite

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while o1-mini was released on 2024-09-12.

Gemini 3.5 Flash-Lite is 23 months newer than o1-mini.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

1.9yr newer
o1-mini

Sep 12, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while o1-mini's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without o1-mini's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

o1-mini

—

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. o1-mini is available from OpenAI, Azure.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
OpenAI

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 o1-mini side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
o1-mini
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
OpenAI
o1-mini

FAQ

Common questions about Gemini 3.5 Flash-Lite vs o1-mini.

Which is better, Gemini 3.5 Flash-Lite or o1-mini?

Gemini 3.5 Flash-Lite (Google) and o1-mini (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash-Lite compare to o1-mini in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

Is Gemini 3.5 Flash-Lite cheaper than o1-mini?

Gemini 3.5 Flash-Lite is 10.0x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. o1-mini costs $3.00/M input and $12.00/M output via openai.

What are the context window sizes for Gemini 3.5 Flash-Lite and o1-mini?

Gemini 3.5 Flash-Lite supports 1.0M tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and o1-mini?

Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $3.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and o1-mini?

Gemini 3.5 Flash-Lite is developed by Google and o1-mini is developed by OpenAI.

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