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Gemini 2.0 Flash Thinking vs o1-preview

Gemini 2.0 Flash Thinking and o1-preview are closely matched at 17.0 and 16.7 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and o1-preview are closely matched on the overall LLM Stats Score at 17.0 and 16.7.

In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking 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 value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose o1-preview

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

Core performance indexes
17.0
#207
16.7
#208
17.2
#199
17.0
#201
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$15.00 / M
Output price
— / M
$60.00 / M
Context window
128,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 8 for o1-preview

2 shared

Gemini 2.0 Flash Thinking outperforms in 2 benchmarks (AIME 2024, GPQA), while o1-preview is better at 0 benchmarks.

Gemini 2.0 Flash Thinking 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 o1-preview specifies input context (128,000 tokens). Only o1-preview specifies output context (32,768 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas o1-preview 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

o1-preview

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

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while o1-preview was released on 2024-09-12.

Gemini 2.0 Flash Thinking is 4 months newer than o1-preview.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

4mo newer
o1-preview

Sep 12, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while o1-preview'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-preview's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

o1-preview

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 o1-preview side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
o1-preview
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs o1-preview.

Which is better, Gemini 2.0 Flash Thinking or o1-preview?

Gemini 2.0 Flash Thinking and o1-preview are closely matched on the LLM Stats Score at 17.0 and 16.7. Gemini 2.0 Flash Thinking is made by Google and o1-preview 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 o1-preview in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.

What are the context window sizes for Gemini 2.0 Flash Thinking and o1-preview?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and o1-preview supports 128K 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 o1-preview?

Key differences include LLM Stats Score (17.0 vs 16.7), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and o1-preview?

Gemini 2.0 Flash Thinking is developed by Google and o1-preview is developed by OpenAI.