Llama 3.1 70B Instruct
Llama 3.1 70B Instruct is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and long context
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Llama 3.1
- Released
- 2024-07-23
- Context
- 128k
- Parameters
- 70B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Openness
- Open weights
- License
- Llama 3 CommunityCommercial use: conditional
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Large-scale open-source AI for social technologies.
Cheapest of 13 routes · DeepInfra
About
The Llama 3.1 70B Instruct model is a cutting-edge large language model with 70 billion parameters, designed for instruction-following tasks. It features multilingual capabilities, supporting languages like English, German, French, and others. Fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), it excels in understanding and responding to user instructions. The model can handle a context length of up to 128k tokens, making it suitable for complex dialogue systems and applications requiring detailed responses. It outperforms many existing open-source and proprietary models on various industry benchmarks, making it ideal for conversational AI, content generation, and data synthesis tasks. For more details, visit the Hugging Face page [1].
Llama 3.1 70B Instruct is an open-weight model in the Llama 3.1 family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, and 10 more, with the cheapest tracked route listed at $0.4 input and $0.4 output per 1M tokens. Headline tracked benchmarks include HellaSwag 94.2, HumanEval 84.1, and Massive Multitask Language Understanding 86.0.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ B1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 13Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| DeepInfra | $0.400 | $0.400 | Serverless |
| Hyperbolic AI Inference | $0.400 | $0.400 | Serverless |
| OpenRouter | $0.400 | $0.400 | Serverless |
| AWS Bedrock | $0.720 | $0.720 | Serverless |
Available via routers & gateways(8)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
Amazon Bedrock Intelligent Prompt Routing
RouterAWS Bedrock's native intelligent prompt router that routes prompts between Anthropic Claude model tiers (Haiku/Sonnet) based on predicted task complexity, with no extra per-routing charge.
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(3)
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(1)
Compare Llama 3.1 70B Instruct with other models
- Llama 3.1 70B Instruct vs Llama 3 70B Instruct5K
- Llama 3.1 70B Instruct vs Qwen3.6-27B325
- Llama 3.1 70B Instruct vs Grok-3230
- Llama 3.1 70B Instruct vs Grok 4211
- Llama 3.1 70B Instruct vs Qwen3.6-35B-A3B179
- Llama 3.1 70B Instruct vs Claude Sonnet 4.6149
- Llama 3.1 70B Instruct vs Llama 3 8B Instruct140
- Llama 3.1 70B Instruct vs DeepSeek V4 Pro133
Comparison and alternatives
Browse all comparisons →Show all 27 popular comparisonssorted by 7-day search impressions
Frequently asked questions
What is the context window of Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct has a context window of 128k tokens.
How much does Llama 3.1 70B Instruct cost?
Llama 3.1 70B Instruct pricing ranges from $0.40/1M to $2.68/1M input tokens depending on the provider.
When was Llama 3.1 70B Instruct released?
Llama 3.1 70B Instruct was released on 2024-07-23.
Which providers offer Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is available from 13 providers: Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, Fireworks AI, NVIDIA NIM, Microsoft Foundry, Databricks Foundation Model Serving, Hyperbolic AI Inference, DeepInfra, OpenRouter, IBM watsonx, AWS Bedrock, Vercel AI Gateway.
What benchmarks has Llama 3.1 70B Instruct been tested on?
Llama 3.1 70B Instruct has been evaluated on 3 benchmarks, including HellaSwag, HumanEval, Massive Multitask Language Understanding.
Large-scale open-source AI for social technologies.
Cheapest of 13 routes · DeepInfra