 Llama 3.3 70B Instruct | ||
|---|---|---|
Model Provider The organization behind this AI's development | Meta | |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 131.1K tokens |
Release Date When this model first became publicly available | December 6, 2024 1 year ago December 6th, 2024 | March 18, 2026 13 days ago March 18th, 2026 |
Llama 3.3 70B Instruct | MiMo-V2-Pro | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
| Llama 3.3 70B Instruct | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $0.10 per million tokens | $1.00 per million tokens |
Output Token Cost Cost per million outut tokens | $0.32 per million tokens | $3.00 per million tokens |
| Llama 3.3 70B Instruct | ||
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
Llama 3.3 70B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.10/M input and $0.32/M output tokens. Released December 6th, 2024.Compare your models with top performers across different categories
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