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.
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.
| Llama 3.1 Nemotron 70B Instruct | Command A | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text | text |
API Providers
| OpenRouter | Cohere, Hugging Face, Major cloud providers |
Knowledge Cut-off Date
| - | - |
Open Source
| Yes | Yes |
Pricing Input
| $0.35 per million tokens | $2.50 per million tokens |
Pricing Output
| $0.40 per million tokens | $10.00 per million tokens |
MMLU
| 85% 5-shot Source | 85.5% Source |
MMLU-Pro
| Not available | Not available |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 75% Source | Not available |
MATH
| 71% Source | 80% Source |
GPQA
| Not available | 50.8% Source |
IFEval
| Not available | 90.9% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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