Model Comparison

o1 vs Gemini 2.0 Flash Thinking

o1 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

o1 outperforms in 3 benchmarks (AIME 2024, GPQA, MMMU), while Gemini 2.0 Flash Thinking is better at 0 benchmarks.

o1 significantly outperforms across most benchmarks.

Sat Apr 11 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
Sat Apr 11 2026 • llm-stats.com
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Google
Gemini 2.0 Flash Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas o1 does not.

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

o1

Text
Images
Audio
Video

Gemini 2.0 Flash Thinking

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.

o1

Proprietary

Closed source

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while Gemini 2.0 Flash Thinking was released on 2025-01-21.

Gemini 2.0 Flash Thinking is 1 month newer than o1.

o1

Dec 17, 2024

1.3 years ago

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while o1's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without o1's cutoff date.

o1

—

Gemini 2.0 Flash Thinking

Aug 2024

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Higher AIME 2024 score (74.3% vs 73.3%)
Higher GPQA score (78.0% vs 74.2%)
Higher MMMU score (77.6% vs 75.4%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
Google
Gemini 2.0 Flash Thinking

FAQ

Common questions about o1 vs Gemini 2.0 Flash Thinking

o1 significantly outperforms across most benchmarks. o1 is made by OpenAI and Gemini 2.0 Flash Thinking is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.
o1 supports 200K tokens and Gemini 2.0 Flash Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
o1 is developed by OpenAI and Gemini 2.0 Flash Thinking is developed by Google.