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.
Command R+ is Cohere’s cutting-edge generative AI model, engineered for enterprise-grade performance where speed, security, and output quality are critical. Designed to run efficiently with minimal infrastructure, it outperforms top-tier models like GPT-4o and DeepSeek-V3 in both capability and cost-effectiveness. Featuring an extended 256K token context window—twice as large as most leading models—it excels at complex multilingual and agent-based tasks essential for modern business operations. Despite its power, it can be deployed on just two GPUs, making it highly accessible. With blazing-fast throughput of up to 156 tokens per second—about 1.75x faster than GPT-4o—Command R+ delivers exceptional efficiency without compromising accuracy or depth.
| GPT-4.1 Nano | Command A | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
| ||
Modalities
| text images | text |
API Providers
| OpenAI API | Cohere, Hugging Face, Major cloud providers |
Knowledge Cut-off Date
| - | - |
Open Source
| No | Yes |
Pricing Input
| $0.10 per million tokens | $2.50 per million tokens |
Pricing Output
| $0.40 per million tokens | $10.00 per million tokens |
MMLU
| 80.1% Source | 85.5% Source |
MMLU-Pro
| - | Not available |
MMMU
| 55.4% Source | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | Not available |
MATH
| - | 80% Source |
GPQA
| 50.3% Diamond Source | 50.8% Source |
IFEval
| 74.5% Source | 90.9% 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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