o1 vs o1-preview
o1 and o1-preview are closely matched at 20.9 and 16.6 on the LLM Stats Score. o1 and o1-preview cost the same.
OpenAI · OpenAI · Updated for 2026
Which is better?
o1 and o1-preview are closely matched on the overall LLM Stats Score at 20.9 and 16.6.
In the 8 individual benchmarks reported for both models, o1 wins 6; this is a narrower head-to-head signal than the composite indexes.
o1 also accepts a larger context window (200,000 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 o1
- you value its reported benchmark strengths — it wins 6 of 8 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Dec 2024
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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for o1 · 8 for o1-preview
o1 outperforms in 6 benchmarks (AIME 2024, GPQA, LiveBench, MATH, MMLU, SimpleQA), while o1-preview is better at 2 benchmarks (MGSM, SWE-Bench Verified).
o1 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, o1 ($15.00/1M tokens) costs the same as o1-preview ($15.00/1M tokens).
For output processing, o1 ($60.00/1M tokens) costs the same as o1-preview ($60.00/1M tokens).
In conclusion, o1 and o1-preview cost the same.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1 accepts 200,000 input tokens compared to o1-preview's 128,000 tokens. o1 can generate longer responses up to 100,000 tokens, while o1-preview is limited to 32,768 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
o1 was released on 2024-12-17, while o1-preview was released on 2024-09-12.
o1 is 3 months newer than o1-preview.
Dec 17, 2024
1.8 years ago
3mo newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
o1 is available from Azure, OpenAI. o1-preview is available from OpenAI, Azure.
o1
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against o1 and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1 vs o1-preview.