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Gemini 2.0 Flash Thinking vs o4-mini

o4-mini leads the LLM Stats Score 27.7 to 17.0.

Google · OpenAI · Updated for 2026

Which is better?

o4-mini leads the overall LLM Stats Score 27.7 to 17.0, ranking #132 overall.

In the 3 individual benchmarks reported for both models, o4-mini wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose o4-mini

  • overall performance matters — it scores 27.7 and ranks #132 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
17.0
#208
27.7
#132
17.2
#200
27.8
#125
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
200,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 14 for o4-mini

3 shared

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while o4-mini is better at 3 benchmarks (AIME 2024, GPQA, MMMU).

o4-mini significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and o4-mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash Thinking

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 Thinking

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while o4-mini was released on 2025-04-16.

o4-mini is 3 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 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 Thinking has a knowledge cutoff of 2024-08-01, while o4-mini has a cutoff of 2024-05-31.

Gemini 2.0 Flash Thinking has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).

Gemini 2.0 Flash Thinking

Aug 2024

3 mo newer
o4-mini

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

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

FAQ

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

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

o4-mini leads the LLM Stats Score 27.7 to 17.0. Gemini 2.0 Flash Thinking is made by Google and o4-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

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

Gemini 2.0 Flash Thinking supports an unknown number of 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 Thinking and o4-mini?

Key differences include LLM Stats Score (17.0 vs 27.7). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and o4-mini?

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