GPT-4.1 mini
Multimodal
Zero-eval
#2CharXiv-D
#2Graphwalks BFS >128k
#2Graphwalks parents >128k
+3 more
by OpenAI
About
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Pricing Range
Input (per 1M)$0.40 -$0.40
Output (per 1M)$1.60 -$1.60
Providers2
Timeline
AnnouncedApr 14, 2025
ReleasedApr 14, 2025
Knowledge CutoffMay 31, 2024
Specifications
Capabilities
Multimodal
License & Family
License
Proprietary
Benchmark Performance Overview
Performance metrics and category breakdown
Overall Performance
29 benchmarks
Average Score
48.4%
Best Score
88.4%
High Performers (80%+)
3Performance Metrics
Max Context Window
1.1MAvg Throughput
150.0 tok/sAvg Latency
5msTop Categories
code
84.1%
math
73.1%
vision
72.7%
general
45.9%
agents
45.9%
Benchmark Performance
Top benchmark scores with normalized values (0-100%)
Ranking Across Benchmarks
Position relative to other models on each benchmark
CharXiv-D
Rank #2 of 5
#1GPT-4.5
90.0%
#2GPT-4.1 mini
88.4%
#3GPT-4.1
87.9%
#4GPT-4o
85.3%
#5GPT-4.1 nano
73.9%
MMLU
Rank #14 of 78
#11Kimi K2 Base
87.8%
#12Qwen3 235B A22B
87.8%
#13DeepSeek-V3
88.5%
#14GPT-4.1 mini
87.5%
#15Grok-2
87.5%
#16Kimi-k1.5
87.4%
#17Llama 3.1 405B Instruct
87.3%
IFEval
Rank #21 of 37
#18Qwen2.5 72B Instruct
84.1%
#19Phi 4 Reasoning Plus
84.9%
#20DeepSeek-V3
86.1%
#21GPT-4.1 mini
84.1%
#22QwQ-32B
83.9%
#23Phi 4 Reasoning
83.4%
#24DeepSeek-R1
83.3%
MMMLU
Rank #10 of 13
#7GPT-4o
81.4%
#8GPT-4.5
85.1%
#9Claude 3.7 Sonnet
86.1%
#10GPT-4.1 mini
78.5%
#11Phi-3.5-MoE-instruct
69.9%
#12GPT-4.1 nano
66.9%
#13Phi-3.5-mini-instruct
55.4%
MathVista
Rank #5 of 35
#2Llama 4 Maverick
73.7%
#3Kimi-k1.5
74.9%
#4o4-mini
84.3%
#5GPT-4.1 mini
73.1%
#6GPT-4.5
72.3%
#7GPT-4.1
72.2%
#8o1
71.8%
All Benchmark Results for GPT-4.1 mini
Complete list of benchmark scores with detailed information
CharXiv-D CharXiv-D benchmark | general | text | 0.88 | 88.4% | Self-reported |
MMLU MMLU benchmark | general | text | 0.88 | 87.5% | Self-reported |
IFEval IFEval benchmark | code | text | 0.84 | 84.1% | Self-reported |
MMMLU MMMLU benchmark | general | text | 0.79 | 78.5% | Self-reported |
MathVista MathVista benchmark | math | text | 0.73 | 73.1% | Self-reported |
MMMU MMMU benchmark | vision | multimodal | 0.73 | 72.7% | Self-reported |
Multi-IF Multi-IF benchmark | general | text | 0.67 | 67.0% | Self-reported |
GPQA GPQA benchmark | general | text | 0.65 | 65.0% | Self-reported |
Graphwalks parents <128k Graphwalks parents <128k benchmark | general | text | 0.60 | 60.5% | Self-reported |
CharXiv-R CharXiv-R benchmark | general | text | 0.57 | 56.8% | Self-reported |
Showing 1 to 10 of 29 benchmarks
Resources