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Gemini 2.0 Flash Thinking vs o3-mini

Gemini 2.0 Flash Thinking and o3-mini are closely matched at 17.1 and 21.6 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and o3-mini are closely matched on the overall LLM Stats Score at 17.1 and 21.6.

In the 2 individual benchmarks reported for both models, o3-mini wins 2; 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 o3-mini

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Core performance indexes
17.1
#206
21.6
#177
17.3
#198
20.8
#175
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
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 · 25 for o3-mini

2 shared

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while o3-mini is better at 2 benchmarks (AIME 2024, GPQA).

o3-mini significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas o3-mini does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

o3-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

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while o3-mini was released on 2025-01-30.

o3-mini is 0 month newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

o3-mini

Jan 30, 2025

1.6 years ago

1w newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while o3-mini has a cutoff of 2023-09-30.

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 o3-mini (2023-09-30).

Gemini 2.0 Flash Thinking

Aug 2024

11 mo newer
o3-mini

Sep 2023

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 o3-mini side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
o3-mini
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs o3-mini.

Which is better, Gemini 2.0 Flash Thinking or o3-mini?

Gemini 2.0 Flash Thinking and o3-mini are closely matched on the LLM Stats Score at 17.1 and 21.6. Gemini 2.0 Flash Thinking is made by Google and o3-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 o3-mini in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

What are the context window sizes for Gemini 2.0 Flash Thinking and o3-mini?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and o3-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 o3-mini?

Key differences include LLM Stats Score (17.1 vs 21.6), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and o3-mini?

Gemini 2.0 Flash Thinking is developed by Google and o3-mini is developed by OpenAI.