OpenAI's newest GPT-4.5 model, released on February 27, 2025, is a groundbreaking AI with 12.8 trillion parameters and a 128K-token context window. It features advanced general knowledge, enhanced emotional intelligence, multimodal input processing (text and image),sophisticated function calling, and real-time streaming responses. Initially rolled out for ChatGPT Pro users, with later availability for Plus and Team subscribers, it delivers responses at approximately 37 tokens per second, making it an excellent choice for tasks requiring high-level reasoning and emotional depth.
GPT-4.1 Nano, launched by OpenAI on April 14, 2025, is the company's fastest and most affordable model to date. Designed for low-latency tasks such as classification, autocomplete, and fast inference scenarios, it combines compact architecture with robust capabilities. Despite its size, it supports an impressive 1 million token context window and delivers strong benchmark results, achieving 80.1% on MMLU and 50.3% on GPQA. With a knowledge cutoff of June 2024, GPT-4.1 Nano offers exceptional value at just $0.10 per million input tokens and $0.40 per million output tokens, with a 75% discount applied to cached inputs, making it ideal for high-volume, cost-sensitive deployments.
GPT-4.5 | GPT-4.1 Nano | |
---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text images |
API Providers
| OpenAI, Azure OpenAI Service | OpenAI API |
Knowledge Cut-off Date
| 2023-10 | - |
Open Source
| No | No |
Pricing Input
| $75.00 per million tokens | $0.10 per million tokens |
Pricing Output
| $150.00 per million tokens | $0.40 per million tokens |
MMLU
| Not available | 80.1% Source |
MMLU-Pro
| Not available | - |
MMMU
| 74.4% Source | 55.4% Source |
HellaSwag
| Not available | - |
HumanEval
| Not available | - |
MATH
| Not available | - |
GPQA
| 71.4% science Source | 50.3% Diamond Source |
IFEval
| Not available | 74.5% Source |
SimpleQA
| - | - |
AIME 2024 | - | 29.4% Source |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | 66.9% Source |
MathVista
| - | 56.2% Image Reasoning Source |
Mobile Application |
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