Gemini 1.0 Pro vs o1-preview
o1-preview leads the LLM Stats Score 16.8 to -5.2. Gemini 1.0 Pro is 35.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
o1-preview leads the overall LLM Stats Score 16.8 to -5.2, ranking #203 overall.
In the 3 individual benchmarks reported for both models, o1-preview wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.0 Pro is roughly 35.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1-preview also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.0 Pro
- cost matters — it's about 35.0x cheaper per token
Choose o1-preview
- overall performance matters — it scores 16.8 and ranks #203 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Gemini 1.0 Pro · 8 for o1-preview
Gemini 1.0 Pro outperforms in 0 benchmarks, while o1-preview is better at 3 benchmarks (GPQA, MATH, MMLU).
o1-preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 30.0x cheaper than o1-preview ($15.00/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 40.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than Gemini 1.0 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1-preview accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. o1-preview can generate longer responses up to 32,768 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
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
Gemini 1.0 Pro was released on 2024-02-15, while o1-preview was released on 2024-09-12.
o1-preview is 7 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.5 years ago
Sep 12, 2024
2.0 years ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while o1-preview's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without o1-preview's cutoff date.
Feb 2024
—
Provider Availability
Gemini 1.0 Pro is available from Google. o1-preview is available from OpenAI, Azure.
Gemini 1.0 Pro
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs o1-preview.