Amazon Nova Pro is a cutting-edge multimodal model designed to handle text, image, and video inputs with advanced processing capabilities. Featuring a 300K-token context window, it excels in document analysis, visual question answering, and complex agent-driven workflows. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling deep customization for various applications.
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.
| Nova Pro | Command A | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
| ||
Modalities
| text images video | text |
API Providers
| Amazon Bedrock | Cohere, Hugging Face, Major cloud providers |
Knowledge Cut-off Date
| Purposefully not disclosed | - |
Open Source
| No | Yes |
Pricing Input
| $0.80 per million tokens | $2.50 per million tokens |
Pricing Output
| $3.20 per million tokens | $10.00 per million tokens |
MMLU
| 85.9% CoT Source | 85.5% Source |
MMLU-Pro
| Not available | Not available |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 89% pass@1 Source | Not available |
MATH
| 76.6% CoT Source | 80% Source |
GPQA
| 46.9% Main Source | 50.8% Source |
IFEval
| 92.1% Source | 90.9% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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