Llama 3.3 70B Instruct, created by Meta, is a multilingual large language model specifically fine-tuned for instruction-based tasks and optimized for conversational applications. It is capable of processing and generating text in multiple languages, with a context window supporting up to 128,000 tokens. Launched on December 6, 2024, the model surpasses numerous open-source and proprietary chat models in various industry benchmarks. It utilizes Grouped-Query Attention (GQA) to improve scalability and has been trained on a diverse dataset comprising over 15 trillion tokens from publicly available sources. The model's knowledge is current up to December 2023.
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 3.3 70B Instruct | Nova Lite | |
|---|---|---|
Web Site
| - | |
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text | text images video |
API Providers
| Fireworks, Together, DeepInfra, Hyperbolic | Amazon Bedrock |
Knowledge Cut-off Date
| 12.2024 | Purposefully not disclosed |
Open Source
| Yes | No |
Pricing Input
| $0.23 per million tokens | $0.06 per million tokens |
Pricing Output
| $0.40 per million tokens | $0.24 per million tokens |
MMLU
| 86% 0-shot, CoT Source | 80.5% CoT Source |
MMLU-Pro
| 68.9% 5-shot, CoT Source | Not available |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 88.4% pass@1 Source | 85.4% pass@1 Source |
MATH
| 77% 0-shot, CoT Source | 73.3% CoT Source |
GPQA
| 50.5% 0-shot, CoT Source | 42% Main Source |
IFEval
| 92.1% Source | 89.7% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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