Model Comparison

o3-mini vs o1

o3-mini has a slight edge in benchmark performance. o3-mini is 13.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

o3-mini outperforms in 6 benchmarks (AIME 2024, FrontierMath, LiveBench, MATH, MGSM, SWE-Bench Verified), while o1 is better at 5 benchmarks (GPQA, MMLU, SimpleQA, TAU-bench Airline, TAU-bench Retail).

o3-mini has a slight edge in benchmark performance.

Sat Apr 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o3-mini costs less

For input processing, o3-mini ($1.10/1M tokens) is 13.6x cheaper than o1 ($15.00/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 13.6x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than o3-mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. Both models can generate responses up to 100,000 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Sat Apr 04 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

o3-mini

Proprietary

Closed source

o1

Proprietary

Closed source

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while o1 was released on 2024-12-17.

o3-mini is 1 month newer than o1.

o3-mini

Jan 30, 2025

1.2 years ago

1mo newer
o1

Dec 17, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while o1's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without o1's cutoff date.

o3-mini

Sep 2023

o1

—

Provider Availability

o3-mini is available from Azure, OpenAI. o1 is available from Azure, OpenAI.

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (87.3% vs 74.3%)
Higher FrontierMath score (9.2% vs 5.5%)
Higher LiveBench score (84.6% vs 67.0%)
Higher MATH score (97.9% vs 96.4%)
Higher MGSM score (92.0% vs 89.3%)
Higher SWE-Bench Verified score (49.3% vs 41.0%)
OpenAI
Higher GPQA score (78.0% vs 77.2%)
Higher MMLU score (91.8% vs 86.9%)
Higher SimpleQA score (47.0% vs 15.0%)
Higher TAU-bench Airline score (50.0% vs 32.4%)
Higher TAU-bench Retail score (70.8% vs 57.6%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
OpenAI
o1

FAQ

Common questions about o3-mini vs o1

o3-mini has a slight edge in benchmark performance. o3-mini is made by OpenAI and o1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.
o3-mini is 13.6x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. o1 costs $15.00/M input and $60.00/M output via azure.
o3-mini supports 200K tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($1.10 vs $15.00/M). See the full comparison above for benchmark-by-benchmark results.