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 Micro is a text-only model optimized for cost and speed. With a context window of 128K tokens, it excels at tasks like text summarization, translation, interactive chat, and basic coding. Released as part of the Amazon Nova foundation models, it supports fine-tuning and distillation for customization on proprietary data.
| Llama 3.3 70B Instruct | Nova Micro | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Dec 06, 2024 4 months ago | Dec 02, 2024 4 months ago |
Modalities | text | text |
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 | $0.04 per million tokens |
Pricing Output | $0.40 per million tokens | $0.14 per million tokens |
MMLU | 86% 0-shot, CoT Source | 77.6% CoT Source |
MMLU Pro | 68.9% 5-shot, CoT Source | - |
MMMU | Not available | - |
HellaSwag | Not available | - |
HumanEval | 88.4% pass@1 Source | 81.1% pass@1 Source |
MATH | 77% 0-shot, CoT Source | 69.3% CoT Source |
GPQA | 50.5% 0-shot, CoT Source | 40% Main Source |
IFEval | 92.1% Source | 87.2% Source |
Mobile Application | - | - |
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