Model Comparison
o1 vs Gemini 2.5 Pro Preview 06-05Which is better in 2026?
Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. Gemini 2.5 Pro Preview 06-05 is 7.6x cheaper per token.
Verdict: o1 vs Gemini 2.5 Pro Preview 06-05 — which is better?
o1 (by OpenAI) and Gemini 2.5 Pro Preview 06-05 (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
o1 outperforms in 0 benchmarks, while Gemini 2.5 Pro Preview 06-05 is better at 4 benchmarks (GPQA, MMMU, SimpleQA, SWE-Bench Verified). Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.
On price, Gemini 2.5 Pro Preview 06-05 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Pro Preview 06-05 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose o1 if…
- you want predictable pricing at $15.00/M input and $60.00/M output
Choose Gemini 2.5 Pro Preview 06-05 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 7.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jun 2025
Performance Benchmarks
Comparative analysis across standard metrics
o1 outperforms in 0 benchmarks, while Gemini 2.5 Pro Preview 06-05 is better at 4 benchmarks (GPQA, MMMU, SimpleQA, SWE-Bench Verified).
Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o1 ($15.00/1M tokens) is 12.0x more expensive than Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens).
For output processing, o1 ($60.00/1M tokens) is 6.0x more expensive than Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens).
In conclusion, o1 is more expensive than Gemini 2.5 Pro Preview 06-05.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 input tokens compared to o1's 200,000 tokens. o1 can generate longer responses up to 100,000 tokens, while Gemini 2.5 Pro Preview 06-05 is limited to 65,535 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas o1 does not.
Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1
Gemini 2.5 Pro Preview 06-05
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
o1 was released on 2024-12-17, while Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05.
Gemini 2.5 Pro Preview 06-05 is 6 months newer than o1.
Dec 17, 2024
1.5 years ago
Jun 5, 2025
1.0 years ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while o1's cutoff date is not specified.
We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without o1's cutoff date.
—
Jan 2025
Provider Availability
o1 is available from Azure, OpenAI. Gemini 2.5 Pro Preview 06-05 is available from Google.
o1
Gemini 2.5 Pro Preview 06-05
Outputs Comparison
Key Takeaways
o1
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about o1 vs Gemini 2.5 Pro Preview 06-05.