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.
API Pricing
Cheapest on Deep Infra — 83% below avg| Provider | Input / 1M | Output / 1M | Updated |
|---|---|---|---|
| $0.100 | $0.320 | 4/3/2026 | |
| $0.100 | $0.320 | 4/14/2026 | |
| $0.360 | $0.360 | 4/14/2026 | |
| $0.590 | $0.790 | 4/14/2026 | |
| $0.720 | $0.720 | 4/14/2026 | |
| $0.800 | $0.800 | 4/1/2026 | |
| $0.880 | $0.880 | 4/14/2026 | |
| $1.05 | $1.05 | 4/13/2026 |
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
About Llama 3.3 70B
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.