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.
Amazon Nova Lite is a versatile multimodal model designed to process text, image, and video inputs, producing text-based outputs. Featuring a 300K-token context window, it is well-suited for real-time interactions, document analysis, and visual question answering. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling advanced customization.
| Llama 3.1 Nemotron 70B Instruct | Nova Lite | |
|---|---|---|
Web Site
| - | |
Provider
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Chat
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Release Date
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Modalities
| text | text images video |
API Providers
| OpenRouter | Amazon Bedrock |
Knowledge Cut-off Date
| - | Purposefully not disclosed |
Open Source
| Yes | No |
Pricing Input
| $0.35 per million tokens | $0.06 per million tokens |
Pricing Output
| $0.40 per million tokens | $0.24 per million tokens |
MMLU
| 85% 5-shot Source | 80.5% CoT Source |
MMLU-Pro
| Not available | Not available |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 75% Source | 85.4% pass@1 Source |
MATH
| 71% Source | 73.3% CoT Source |
GPQA
| Not available | 42% Main Source |
IFEval
| Not available | 89.7% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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