GPT-4 vs o1
o1 leads the LLM Stats Score 21.3 to 3.7. o1 is 1.4x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
o1 leads the overall LLM Stats Score 21.3 to 3.7, ranking #173 overall.
In the 5 individual benchmarks reported for both models, o1 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, o1 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose o1
- overall performance matters — it scores 21.3 and ranks #173 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- cost matters — it's about 1.4x cheaper per token
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Dec 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 · 19 for o1
GPT-4 outperforms in 0 benchmarks, while o1 is better at 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU).
o1 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 ($15.00/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) costs the same as o1 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than o1.*
* 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 GPT-4's 32,768 tokens. o1 can generate longer responses up to 100,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4 supports multimodal inputs, whereas o1 does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
o1
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 was released on 2024-12-17.
o1 is 18 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Dec 17, 2024
1.7 years ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while o1'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's cutoff date.
Dec 2022
—
Provider Availability
GPT-4 is available from Azure, OpenAI. o1 is available from Azure, OpenAI.
GPT-4
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs o1.