FlagshipOpen SourceMeta

Llama 3.3 70B

Llama 3.3 70B is Meta's flagship open-source language model with 70 billion parameters, offering strong reasoning and coding capabilities with a 128K token context window.

Context 128K
Tier Flagship
Knowledge Mar 2024
Tools Supported
License Open Source
Input from
$0.100 / 1M tokens
across 7 providers

API Pricing

Cheapest on Deep Infra 83% below avg
ProviderInput / 1MOutput / 1MUpdated
$0.100$0.3204/3/2026
$0.100$0.3204/14/2026
$0.360$0.3604/14/2026
$0.590$0.7904/14/2026
$0.720$0.7204/14/2026
$0.800$0.8004/1/2026
$0.880$0.8804/14/2026
$1.05$1.054/13/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Meta
Family
Llama
Tier
Flagship
Context Window
128K
Knowledge Cutoff
Mar 2024
Modalities
Text

Capabilities

Tool Calling
Yes
Open Source
Yes
Subtypes
Chat Completion, Code Generation

Strengths & Limitations

  • Open-source model weights available for local deployment and fine-tuning
  • 128,000 token context window for processing long documents
  • Tool calling support with structured function execution
  • Strong performance on coding and reasoning benchmarks
  • No vendor lock-in or API dependency requirements
  • 70 billion parameter scale provides flagship-level capabilities
  • March 2024 knowledge cutoff includes relatively recent information
  • Text-only modality - no image, audio, or video input support
  • Requires significant computational resources for local deployment
  • Smaller parameter count than some competing flagship models
  • Knowledge cutoff older than some proprietary alternatives
  • No built-in safety filtering compared to hosted API services

Key Features

128,000 token context window
Tool calling with function execution
Chat completion interface
Code generation and programming assistance
Open-source model weights and architecture
Streaming response support
Batch processing capabilities
Fine-tuning compatibility

About Llama 3.3 70B

Llama 3.3 70B is Meta's flagship model in the Llama family, representing the company's most capable open-source language model as of its release. With 70 billion parameters, it sits at the top of Meta's model lineup, designed to compete with other flagship models while maintaining open-source availability. The model builds on the Llama 3 architecture with improvements in reasoning, coding, and general language understanding. The model supports a 128,000 token context window and focuses exclusively on text-based interactions, including chat completion and code generation. It includes tool calling capabilities, allowing it to interact with external APIs and functions. With a knowledge cutoff of March 2024, Llama 3.3 70B incorporates relatively recent training data. The model demonstrates strong performance across reasoning tasks, mathematical problem-solving, and programming challenges. Llama 3.3 70B is positioned for organizations and developers who need flagship-level performance while maintaining the flexibility and cost advantages of open-source models. Its open-source nature allows for fine-tuning, local deployment, and customization that proprietary alternatives cannot offer, making it particularly valuable for enterprises with specific compliance, privacy, or customization requirements.

Common Use Cases

Llama 3.3 70B is well-suited for organizations requiring flagship-level language model capabilities while maintaining control over their AI infrastructure. Its open-source nature makes it ideal for companies with strict data privacy requirements, custom fine-tuning needs, or those wanting to avoid vendor dependencies. The model excels at complex reasoning tasks, code generation, technical documentation, research assistance, and building AI agents with tool-calling capabilities. Its 128K context window supports applications involving long-form content analysis, document processing, and maintaining extended conversational context. The model is particularly valuable for enterprises, research institutions, and developers who need the flexibility to modify, optimize, or deploy models in specialized environments.

Frequently Asked Questions

How much does Llama 3.3 70B cost per million tokens?

Llama 3.3 70B pricing varies significantly by provider and deployment method. Since it's open-source, you can run it locally or choose from various cloud providers offering hosted versions. Check the pricing table above for current rates across all available providers and deployment options.

What is Llama 3.3 70B best used for?

Llama 3.3 70B excels at complex reasoning tasks, code generation, technical writing, and building AI agents with tool-calling capabilities. Its open-source nature makes it particularly valuable for organizations requiring data privacy, custom fine-tuning, or freedom from vendor lock-in, while its 128K context window supports long-form document analysis and extended conversations.

Can I run Llama 3.3 70B locally or do I need an API?

Llama 3.3 70B is open-source, so you can download the model weights and run it locally with sufficient hardware (typically requiring high-end GPUs with substantial VRAM). Alternatively, many cloud providers offer hosted API access if you prefer not to manage the infrastructure yourself. Local deployment gives you complete control and privacy, while APIs offer easier scaling and management.