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.
NVIDIA's Llama 3.1 Nemotron 70B is a powerful language model optimized for delivering accurate and informative responses. Built on the Llama 3.1 70B architecture and enhanced with Reinforcement Learning from Human Feedback (RLHF),it achieves top performance in automatic alignment benchmarks. Designed for applications demanding high precision in response generation and helpfulness, this model is well-suited for a wide range of user queries across multiple domains.
| GPT-4.1 Nano | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
Web Site
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Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text |
API Providers
| OpenAI API | OpenRouter |
Knowledge Cut-off Date
| - | - |
Open Source
| No | Yes |
Pricing Input
| $0.10 per million tokens | $0.35 per million tokens |
Pricing Output
| $0.40 per million tokens | $0.40 per million tokens |
MMLU
| 80.1% Source | 85% 5-shot Source |
MMLU-Pro
| - | Not available |
MMMU
| 55.4% Source | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | 75% Source |
MATH
| - | 71% Source |
GPQA
| 50.3% Diamond Source | Not available |
IFEval
| 74.5% Source | Not available |
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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