GPT-4 vs o1-preview
o1-preview leads the LLM Stats Score 16.7 to 3.2. o1-preview is 1.4x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
o1-preview leads the overall LLM Stats Score 16.7 to 3.2, ranking #208 overall.
In the 4 individual benchmarks reported for both models, o1-preview wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, o1-preview is roughly 1.4x 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 GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose o1-preview
- overall performance matters — it scores 16.7 and ranks #208 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- cost matters — it's about 1.4x cheaper per token
- 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
12 reported for GPT-4 · 8 for o1-preview
GPT-4 outperforms in 0 benchmarks, while o1-preview is better at 4 benchmarks (GPQA, MATH, MGSM, 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, GPT-4 ($30.00/1M tokens) is 2.0x more expensive than o1-preview ($15.00/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) costs the same as o1-preview ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than o1-preview.*
* 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 GPT-4's 32,768 tokens. Both models can generate responses up to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4 supports multimodal inputs, whereas o1-preview does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
o1-preview
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
GPT-4 was released on 2023-06-13, while o1-preview was released on 2024-09-12.
o1-preview is 15 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Sep 12, 2024
2.0 years ago
1.3yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while o1-preview's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without o1-preview's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. o1-preview is available from OpenAI, Azure.
GPT-4
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs o1-preview.