Model Comparison

Gemini 2.0 Flash Thinking vs o3-mini

o3-mini significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Google
Gemini 2.0 Flash Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Notice missing or incorrect data?Start an Issue→

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
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

1.2 years ago

o3-mini

Jan 30, 2025

1.2 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

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Key Takeaways

Google
Supports multimodal inputs
OpenAI
Larger context window (200,000 tokens)
Higher AIME 2024 score (87.3% vs 73.3%)
Higher GPQA score (77.2% vs 74.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
OpenAI
o3-mini

FAQ

Common questions about Gemini 2.0 Flash Thinking vs o3-mini

o3-mini significantly outperforms across most benchmarks. 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 benchmark scores, pricing, and capabilities above.
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%.
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.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.0 Flash Thinking is developed by Google and o3-mini is developed by OpenAI.