Llama 3 70B Instruct
Llama 3 70B Instruct is worth evaluating for coding, classification, and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, classification, and json / tool use
- Workloads that can use a 8k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Llama 3
- Released
- 2024-04-18
- Context
- 8k
- Parameters
- 70B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Openness
- Open weights
- License
- Llama 3 CommunityCommercial use with conditions
- Training
- finetuned
Large-scale open-source AI for social technologies.
Cheapest of 18 routes · Hyperbolic AI Inference
About
The Llama 3 70B Instruct model is a large language model with 70 billion parameters, released by Meta on April 18, 2024. It's an instruction-tuned variant optimized for conversational applications, utilizing an advanced auto-regressive transformer architecture. The model excels in following instructions and engaging in dialogue, having been trained on over 15 trillion tokens with a December 2023 knowledge cutoff. It demonstrates superior performance on industry benchmarks, scoring 82.0 on the MMLU (5-shot) test. The model incorporates extensive safety measures and optimizations, including RLHF, to enhance helpfulness and reduce harmful content generation. For more details, visit the model's Hugging Face page [1].
Llama 3 70B Instruct is an open-weight model in the Llama 3 family. The structured metadata tracks a 8k-token context window and structured outputs. This page tracks provider routes through GCP Vertex AI, AWS Bedrock, Microsoft Foundry, and 15 more, with the cheapest tracked route listed at $0.4 input and $0.4 output per 1M tokens. Headline tracked benchmarks include HumanEval 72.6, Massive Multitask Language Understanding 82.0, and Instruction-Following Evaluation 77.8.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ B1 relevant benchmark in the decision map.
Classification
Q/$ C2 relevant benchmarks in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 18Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Hyperbolic AI Inference | $0.400 | $0.400 | Serverless |
| DeepInfra | $0.450 | $0.650 | Serverless |
| Novita AI | $0.510 | $0.740 | Serverless |
| OpenRouter | $0.510 | $0.740 | Serverless |
Available via routers & gateways(16)
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
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.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
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.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HumanEval | 72.6 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 82.0 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Instruction-Following Evaluation | 77.8 | v2 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| MMLU PRO | 57.4 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
Migration checks
No linked migration route is available for this model yet.
Comparison and alternatives
Browse all comparisons →Show all 41 popular comparisonssorted by 7-day search impressions
Large-scale open-source AI for social technologies.
Cheapest of 18 routes · Hyperbolic AI Inference