Model Comparison

GPT-4.1 vs o1-mini

GPT-4.1 significantly outperforms across most benchmarks. GPT-4.1 is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4.1 outperforms in 2 benchmarks (GPQA, MMLU), while o1-mini is better at 0 benchmarks.

GPT-4.1 significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 costs less

For input processing, GPT-4.1 ($2.00/1M tokens) is 1.5x cheaper than o1-mini ($3.00/1M tokens).

For output processing, GPT-4.1 ($8.00/1M tokens) is 1.5x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than GPT-4.1.*

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

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
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

GPT-4.1 accepts 1,047,576 input tokens compared to o1-mini's 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while GPT-4.1 is limited to 32,768 tokens.

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas o1-mini does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1

Text
Images
Audio
Video

o1-mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4.1

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while o1-mini was released on 2024-09-12.

GPT-4.1 is 7 months newer than o1-mini.

GPT-4.1

Apr 14, 2025

1.0 years ago

7mo newer
o1-mini

Sep 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while o1-mini's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without o1-mini's cutoff date.

GPT-4.1

Jun 2024

o1-mini

—

Provider Availability

GPT-4.1 is available from OpenAI. o1-mini is available from OpenAI, Azure.

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

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 (1,047,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (66.3% vs 60.0%)
Higher MMLU score (90.2% vs 85.2%)
OpenAI
OpenAIGPT-4.1
OpenAIo1-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1
OpenAI
o1-mini

FAQ

Common questions about GPT-4.1 vs o1-mini

GPT-4.1 significantly outperforms across most benchmarks. GPT-4.1 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.
GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
GPT-4.1 is 1.5x cheaper for input tokens. GPT-4.1 costs $2.00/M input and $8.00/M output via openai. o1-mini costs $3.00/M input and $12.00/M output via openai.
GPT-4.1 supports 1.0M 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 (1.0M vs 128K), input pricing ($2.00 vs $3.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.