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FlagshipOpen SourceMeta
Llama 3.1 70B
Llama 3.1 70B is Meta's flagship open-source language model with a 128K token context window for complex reasoning, coding, and enterprise applications.
Context 128K
Tier Flagship
Knowledge Dec 2023
Tools Supported
License Open Source
Input from
$0.360 / 1M tokens
across 2 providers
API Pricing
Cheapest on Amazon AWS — 27% below avg| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $0.360 | $0.360 | |
| $0.400 | $0.400 | |
| $0.720 | $0.720 |
Prices updated daily. Last check: Sep 6, 2026
Llama 3.1 70B pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Intelligence
1.2 / 100
Math
4.0 / 100
Reasoning & Knowledge
- MMLU-Pro67.6%
- GPQA Diamond40.9%
- Humanity's Last Exam4.5%
Coding
- LiveCodeBench23.2%
Math
- AIME 20254.0%
- AIME17.3%
- MATH-50064.9%
Agentic & Tool Use
- Terminal-Bench Hard3.0%
- τ²-bench15.2%
Instruction & Long Context
- IFBench34.4%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Meta
- Family
- Llama
- Tier
- Flagship
- Context Window
- 128K
- Knowledge Cutoff
- Dec 2023
- Modalities
- Text
Capabilities
- Tool Calling
- Yes
- Open Source
- Yes
- Subtypes
- Chat Completion, Code Generation
Strengths & Limitations
Strengths
- Open-source Apache 2.0 license allows commercial use and modification
- 128,000 token context window for processing lengthy documents
- Tool calling support enables integration with external APIs and functions
- 25.38 tokens per second output speed for real-time applications
- No vendor lock-in - can be deployed on-premises or private cloud
- Knowledge cutoff of December 2023 provides recent training data
- 70B parameter size offers strong performance for complex reasoning tasks
Limitations
- Text-only input - no support for images or other modalities
- Requires significant computational resources for self-hosting
- Knowledge cutoff older than some competing frontier models
- Time to first token of 443ms slower than some proprietary alternatives
- Smaller parameter count than Meta's own 405B variant
Key Features
•128,000 token context window
•Tool calling with function execution
•Chat completion API compatibility
•Code generation and programming assistance
•Open-source Apache 2.0 licensing
•Streaming response support
•Multi-turn conversation handling
•Custom fine-tuning capabilities
About Llama 3.1 70B
Llama 3.1 70B is Meta's flagship model in the Llama 3.1 series, representing the company's most capable open-source language model. As a 70 billion parameter model, it sits at the top of the Llama 3.1 family, designed for complex reasoning tasks, advanced coding applications, and enterprise-grade deployments where open-source licensing provides flexibility for customization and on-premises hosting.
The model features a 128,000 token context window and supports text-based chat completion and code generation. With tool calling capabilities and a knowledge cutoff of December 2023, Llama 3.1 70B delivers 25.38 output tokens per second with a 443ms time to first token according to benchmarks. Its open-source nature allows organizations to fine-tune, deploy privately, or modify the model for specific use cases without proprietary restrictions.
Llama 3.1 70B competes directly with other flagship models in enterprise environments where open-source licensing is valued. Organizations use it for applications requiring local deployment, custom fine-tuning, or situations where data privacy regulations prevent cloud-based API usage.
Common Use Cases
Llama 3.1 70B is designed for organizations requiring a flagship-tier model with open-source flexibility. Its primary use cases include enterprise applications where data must remain on-premises due to privacy or regulatory requirements, custom fine-tuning for domain-specific tasks like legal or medical applications, and integration into proprietary products where licensing terms matter. The model excels at complex reasoning, advanced coding assistance, technical documentation generation, and multi-step problem solving. Organizations often deploy it for customer service automation, content creation workflows, code review and generation, and as a base model for specialized fine-tuning in finance, healthcare, or research environments where commercial licensing and local control are essential.
Frequently Asked Questions
How much does Llama 3.1 70B cost per million tokens?
Llama 3.1 70B pricing varies significantly by provider and deployment method (API vs self-hosting). Check the pricing table above for current rates across all providers offering hosted access.
What is Llama 3.1 70B best used for?
Llama 3.1 70B excels at complex reasoning tasks, advanced code generation, enterprise applications requiring on-premises deployment, and scenarios where open-source licensing enables custom fine-tuning or integration into proprietary products.
Can I fine-tune and commercially deploy Llama 3.1 70B?
Yes, Llama 3.1 70B uses the Apache 2.0 license, which permits commercial use, modification, distribution, and fine-tuning without royalties or restrictions, making it suitable for enterprise deployment and product integration.