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.
Amazon Nova Micro is a text-only model optimized for cost and speed. With a context window of 128K tokens, it excels at tasks like text summarization, translation, interactive chat, and basic coding. Released as part of the Amazon Nova foundation models, it supports fine-tuning and distillation for customization on proprietary data.
| GPT-4.1 Nano | Nova Micro | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text |
API Providers
| OpenAI API | Amazon Bedrock |
Knowledge Cut-off Date
| - | Purposefully not disclosed |
Open Source
| No | No |
Pricing Input
| $0.10 per million tokens | $0.04 per million tokens |
Pricing Output
| $0.40 per million tokens | $0.14 per million tokens |
MMLU
| 80.1% Source | 77.6% CoT Source |
MMLU-Pro
| - | - |
MMMU
| 55.4% Source | - |
HellaSwag
| - | - |
HumanEval
| - | 81.1% pass@1 Source |
MATH
| - | 69.3% CoT Source |
GPQA
| 50.3% Diamond Source | 40% Main Source |
IFEval
| 74.5% Source | 87.2% 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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