GPT-4o mini vs o1-mini
o1-mini leads the LLM Stats Score 10.0 to 3.6. GPT-4o mini is 20.0x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
o1-mini leads the overall LLM Stats Score 10.0 to 3.6, ranking #274 overall.
In the 3 individual benchmarks reported for both models, o1-mini wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4o mini is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o mini
- cost matters — it's about 20.0x cheaper per token
Choose o1-mini
- overall performance matters — it scores 10.0 and ranks #274 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- 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 GPT-4o mini · 6 for o1-mini
GPT-4o mini outperforms in 0 benchmarks, while o1-mini is better at 3 benchmarks (GPQA, HumanEval, MMLU).
o1-mini 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-4o mini ($0.15/1M tokens) is 20.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 20.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than GPT-4o mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas o1-mini does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
o1-mini
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-4o mini was released on 2024-07-18, while o1-mini was released on 2024-09-12.
o1-mini is 2 months newer than GPT-4o mini.
Jul 18, 2024
2.2 years ago
Sep 12, 2024
2.1 years ago
1mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while o1-mini's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without o1-mini's cutoff date.
Oct 2023
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Provider Availability
GPT-4o mini is available from Azure. o1-mini is available from OpenAI, Azure.
GPT-4o mini
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs o1-mini.