Model Comparison

o3-mini vs o1-mini

o3-mini significantly outperforms across most benchmarks. o3-mini is 2.7x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o3-mini outperforms in 2 benchmarks (GPQA, MMLU), while o1-mini is better at 0 benchmarks.

o3-mini significantly outperforms across most benchmarks.

Tue Apr 07 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 2.7x cheaper than o1-mini ($3.00/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 2.7x cheaper than o1-mini ($12.00/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-mini accepts 200,000 input tokens compared to o1-mini's 128,000 tokens. o3-mini can generate longer responses up to 100,000 tokens, while o1-mini is limited to 65,536 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Tue Apr 07 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-mini

Proprietary

Closed source

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while o1-mini was released on 2024-09-12.

o3-mini is 5 months newer than o1-mini.

o3-mini

Jan 30, 2025

1.2 years ago

4mo newer
o1-mini

Sep 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while o1-mini'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-mini's cutoff date.

o3-mini

Sep 2023

o1-mini

—

Provider Availability

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

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-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (77.2% vs 60.0%)
Higher MMLU score (86.9% vs 85.2%)
OpenAI

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
OpenAI
o1-mini

FAQ

Common questions about o3-mini vs o1-mini

o3-mini significantly outperforms across most benchmarks. o3-mini is made by OpenAI and o1-mini 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-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
o3-mini is 2.7x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. o1-mini costs $3.00/M input and $12.00/M output via openai.
o3-mini supports 200K tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 128K), input pricing ($1.10 vs $3.00/M). See the full comparison above for benchmark-by-benchmark results.