GPT-4.1, launched by OpenAI on April 14, 2025, introduces a 1 million token context window and supports outputs of up to 32,768 tokens per request. It delivers outstanding performance on coding tasks, achieving 54.6% on the SWE-Bench Verified benchmark, and shows a 10.5% improvement over GPT-4o on MultiChallenge for instruction following. The model's knowledge cutoff is set at June 2024. Pricing is $2.00 per million tokens for input and $8.00 per million tokens for output, with a 75% discount applied to cached inputs, making it highly cost-efficient for repeated queries.
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 | Command A | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
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
| $2.00 per million tokens | $2.50 per million tokens |
Pricing Output
| $8.00 per million tokens | $10.00 per million tokens |
MMLU
| 90.2% pass@1 Source | 85.5% Source |
MMLU-Pro
| - | Not available |
MMMU
| 74.8% Source | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | Not available |
MATH
| - | 80% Source |
GPQA
| 66.3% Diamond Source | 50.8% Source |
IFEval
| - | 90.9% Source |
SimpleQA
| - | - |
AIME 2024 | 48.1% Source | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| 87.3% pass@1 Source | - |
MathVista
| - | - |
Mobile Application | - |
Compare AI. Test. Benchmarks. Mobile Apps Chatbots, Sketch
Copyright © 2025 All Right Reserved.