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Gemini 2.0 Flash-Lite vs o4-mini

o4-mini significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is 15.1x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (GPQA, MMMU). o4-mini significantly outperforms across most benchmarks.

On price, Gemini 2.0 Flash-Lite is roughly 15.1x 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.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash-Lite

  • cost matters — it's about 15.1x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose o4-mini

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
$0.07 / M
$1.10 / M
Output price
$0.30 / M
$4.40 / M
Context window
1,048,576
200,000
Released
Feb 2025
Apr 2025
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while o4-mini is better at 2 benchmarks (GPQA, MMMU).

o4-mini significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 15.7x cheaper than o4-mini ($1.10/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 14.7x cheaper than o4-mini ($4.40/1M tokens).

In conclusion, o4-mini is more expensive than Gemini 2.0 Flash-Lite.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 2.0 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 2.0 Flash-Lite is limited to 8,192 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and o4-mini 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

o4-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 2.0 Flash-Lite

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while o4-mini was released on 2025-04-16.

o4-mini is 2 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

o4-mini

Apr 16, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, while o4-mini has a cutoff of 2024-05-31.

Gemini 2.0 Flash-Lite has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).

Gemini 2.0 Flash-Lite

Jun 2024

1 mo newer
o4-mini

May 2024

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. o4-mini is available from OpenAI.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and o4-mini side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
o4-mini
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs o4-mini.

Which is better, Gemini 2.0 Flash-Lite or o4-mini?

o4-mini significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is made by Google and o4-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash-Lite compare to o4-mini in benchmarks?

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%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

Is Gemini 2.0 Flash-Lite cheaper than o4-mini?

Gemini 2.0 Flash-Lite is 15.7x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google. o4-mini costs $1.10/M input and $4.40/M output via openai.

What are the context window sizes for Gemini 2.0 Flash-Lite and o4-mini?

Gemini 2.0 Flash-Lite supports 1.0M tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash-Lite and o4-mini?

Key differences include context window (1.0M vs 200K), input pricing ($0.07 vs $1.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and o4-mini?

Gemini 2.0 Flash-Lite is developed by Google and o4-mini is developed by OpenAI.