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GPT-4.1 Mini

Safety #7
Safety Ranking
Ranked #7 out of all models based on safe response rate, jailbreaking resistance, and harmful content filtering effectiveness.
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OpenAI

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability.

gpt-4.1-mini-2025-04-14AvailableAPI ReferencePlaygroundDocumentation
Max Input
1M
Tokens
Input Price
$0.4
per 1M Tokens
Output Price
$1.6
per 1M Tokens
Safety Score
96%
Safe Responses
Size
-
Parameters

Model Information

Detailed specifications and technical details

Release Details

Release Date
14-Apr-25
Knowledge Cutoff
2025-01
License
Proprietary

Model Architecture

Parameters
-
Training Data
-

Context Window

Input Context Length
1M tokens
Max Output Tokens
16,384

Features & Capabilities

Core functionality and supported features

Features

Streaming
Supported
Function calling
Supported
Structured outputs
Supported
Fine-tuning
Supported
Distillation
Supported
Predicted outputs
Supported
Multimodal
Supported
Reasoning
Supported

Tools

Tools supported when using the Responses API

Web search
Supported
File search
Supported
Code interpreter
Supported
Image generation
Supported
Computer use
Not supported
MCP
Supported

Modalities

Text
Input:Yes
Output:Yes
Image
Input:Yes
Output:No
Audio
Input:No
Output:No

Performance Benchmarks

Focus on quantitative capabilities of the model across reasoning, math, coding, etc.

Φ

GPQA

GPQA
Graduate-level multiple-choice questions across science domains; Google-proof and extremely challenging.

Science knowledge

65.0%

CodeLMArena (old)

CodeLMArena (old)
Competitive coding benchmark where models are evaluated on their ability to solve complex programming problems, debug code, and demonstrate logical reasoning across multiple programming languages and difficulty levels.

Logical reasoning

1365
➗

MathLiveBench

MathLiveBench
Real-time mathematical reasoning benchmark testing the model's ability to solve advanced problems across algebra, calculus, geometry, statistics, and applied mathematics with step-by-step problem-solving approaches.

Mathematical ability

45.2%

CodeLiveBench

CodeLiveBench
Live coding performance evaluation measuring the model's ability to write, debug, and optimize code in real-time scenarios, including algorithm implementation and software development tasks.

Coding ability

42.8%
🤖

CodeRankedAGI

CodeRankedAGI
Advanced AGI coding benchmark evaluating sophisticated programming capabilities, including complex problem-solving, architectural design, and advanced software engineering tasks requiring deep reasoning.

AGI coding ability

35.5%
Ω

MMLU

MMLU
Knowledge across 57 subjects spanning STEM, humanities, and professional domains.

General knowledge

87.5%

Jailbreaking & Red Teaming Analysis

Comprehensive safety evaluation and red teaming analysis

Overall Safety Analysis

96%
Safe: 96% (288/300)
Unsafe: 4% (12/300)
SAFE Responses:

96%

(288 out of 300)

UNSAFE Responses:

4%

(12 out of 300)

Jailbreaking Resistance

89%
Resisted: 89% (89/100)
Failed: 11% (11/100)
Jailbreaking Resistance:

89%

(89 out of 100 attempts)

Measures the model's ability to resist adversarial prompts designed to bypass content safety measures.

These Red Teaming audits were conducted using standardized testing protocols and adversarial prompts to assess model safety and robustness.

Cost Calculator

Interactive cost calculator and token pricing

Input Cost

$0.4

per million tokens

Per 1K words:$0.00

Output Cost

$1.6

per million tokens

Per 1K words:$0.00

Cost Calculator

1 tokens
≈ 1 words
110M
1 tokens
≈ 1 words
110M

Estimated Cost

Based on your token selection

$0.00

Total Cost

Input Cost:$0.00
Output Cost:$0.00
Cost Breakdown:
Per Word
$0.0000
Per Character
$0.000000

Monthly estimate (5M input + 3M output):

$6.80

≈ 6,000,000 words

Providers

Compare pricing and features across different AI providers

Provider
Input $/1M
Output $/1M
Latency
Throughput
OpenAI
$0.40$1.60FastN/A
Azure
$0.40$1.60FastN/A
AWS Bedrock
$0.40$1.600.3 ms3000 tokens/s
View All Model Providers

Business Decision Guide

Key factors to consider when adopting this model for enterprise use

Safety Profile

Strong safety measures with good compliance rates. Suitable for enterprise use.

Safety Rank: #7

Performance Metrics

Solid performance across key metrics. Good for general business applications.

Cost Efficiency

Highly cost-effective with excellent context handling.

$6.80/mo (avg. use)

Business Use Cases

Optimize your workflows with tailored AI solutions

Code Generation

Create and debug programming code

Suitability:Excellent
  • Strong coding capabilities
  • Adaptable to multiple languages

Best for:

Development teams, engineering departments

Chatbot

Create conversational AI assistants

Suitability:Excellent
  • High resilience against manipulation
  • Cost-effective for high volume

Best for:

Customer engagement, website assistants

Customer Service

Automate support and improve response times

Suitability:Excellent
  • Competent customer support
  • Scalable solution

Best for:

Support teams, customer success departments

Content Creation

Generate articles, blogs, and marketing copy

Suitability:Good
  • Consistent brand voice alignment
  • Long-form content capability

Best for:

Marketing teams, publishers, content agencies

Creative Projects

Generate ideas, stories, and creative content

Suitability:Good
  • Idea expansion and brainstorming
  • Logical creativity

Best for:

Design teams, storytellers, game developers

Research Assistant

Analyze information and support research

Suitability:Fair
  • Handle large documents

Best for:

R&D departments, data analysis teams

This data is generated based on the model benchmarks available in public documentation.

OpenAI Models Comparison

Compare metrics across different OpenAI models

Safety Score Comparison

Input Cost Comparison (per 1M tokens)

Output Cost Comparison (per 1M tokens)