Llama 3 70B Instruct
Up to 30%Call Llama 3 70B Instruct through LLM.API when you want Meta-family text generation with unified auth, provider choice, and production-friendly defaults.
What is Llama 3 70B Instruct?
Llama 3 70B Instruct belongs to the Meta family and is offered as a hosted chat endpoint. llama-3-70b-instruct provided by novita. It is wired for API access through LLM.API with OpenAI-compatible patterns. Through LLM.API you keep one base URL while selecting this model for assistants, tools, and content workflows.
Providers
LLM.API routes Llama 3 70B Instruct to the providers below, with discounted effective rates versus list price.
List price by provider ($ / 1M tokens)
InputOutputProvider list prices; the LLM.API discount applies on top.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $510; out $740 per 1M tokens | 8K tokens | tools, streaming, structured |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test Llama 3 70B Instruct right here — free to start.
Suggestions for your first prompt
Code snippet
Call Llama 3 70B Instruct through the OpenAI-compatible API — POST /v1/chat/completions.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAP_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="llama-3-70b-instruct",
messages=[
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."},
],
)
print(resp.choices[0].message.content){
"model": "llama-3-70b-instruct",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
Multi-step reasoning
Breaks down complex problems into intermediate steps before answering.
Safety-aware replies
Supports product policies with refusals and cautious handling of sensitive topics. Reflects Meta positioning for this endpoint.
Analytical writing
Produces clear analyses, comparisons, and decision memos from messy source material. Grounded in the model's chat role rather than generic chat claims.
Instruction following
Follows detailed system and user instructions with strong adherence to format and tone. Reflects Meta positioning for this endpoint.
Long-context synthesis
Summarizes and cross-references information across large prompts when context allows. Reflects Meta positioning for this endpoint.
6 Most Valuable Use Cases
- Product analytics narration and anomaly explanations with Llama 3 70B Instruct
- Sales and success email drafting with CRM context
- Policy Q&A bots with careful refusal behavior with Llama 3 70B Instruct
- Data extraction into JSON for downstream systems
- Research synthesis across long documents and tickets with Llama 3 70B Instruct
- Internal knowledge assistants grounded with your retrieval layer
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent AI Routing
Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, every model. -
Cost-Aware Execution
Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.
More performance, less spend. -
Resilient Fallback Flows
Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.
Never go dark on users. -
Deep LLM Observability
Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.
See every token, everywhere. -
Task-Level Orchestration
Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.
Think tasks, not models. -
High-Throughput Batch APIs
Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.
Scale from 1 to millions.
Why run Llama 3 70B Instruct on LLM.API?
Unified AI Routing
Reach Llama 3 70B Instruct and sibling models through one OpenAI-compatible endpoint.
Cost Control
Compare provider price points and keep spend visible as you scale Llama 3 70B Instruct.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Observability
Production: Trace prompts, tokens, and errors for Llama 3 70B Instruct alongside the rest of your stack.
Drop-in SDKs
Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Swap Llama 3 70B Instruct for chat, media, or embedding alternatives without rewriting auth.
When to Use — When NOT to Use
Use it if...
- You want OpenAI-compatible chat completions through a single LLM.API key (Llama 3 70B Instruct)
- Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Llama 3 70B Instruct)
- You need a general-purpose text model for assistants, agents, or content workflows (Llama 3 70B Instruct)
- You need provider failover options exposed for this model id (Llama 3 70B Instruct)
Avoid if...
- You need guaranteed real-time hard latency SLAs without benchmarking the provider
- You need pure embedding, OCR, or media generation instead of chat
- You require on-prem only deployment with no cloud inference
- Your use case depends on unpublished proprietary benchmarks not listed here
COMMUNITY
What developers say about Llama models
Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Llama 3 70B Instruct.
- Independent testers were underwhelmed by Llama 4 coding performance relative to the launch messaging around its very long context window.
- The architecture shift to mixture-of-experts and native multimodality is seen as the real story for teams self-hosting open weights.
- Most reviewers position Llama as an integration and deployment choice rather than a benchmark leader.
SOURCES
Frequently Asked Questions
What is Llama 3 70B Instruct?
llama-3-70b-instruct provided by novita. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `llama-3-70b-instruct`.
What are limitations of Llama 3 70B Instruct?
Like other API models, Llama 3 70B Instruct can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
How do I call Llama 3 70B Instruct via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "llama-3-70b-instruct" and your LLM.API key. See the code snippet on this page.
Is Llama 3 70B Instruct a chat model?
Yes—Llama 3 70B Instruct is exposed as a chat/completions-style endpoint on LLM.API.
Which providers serve Llama 3 70B Instruct?
LLM.API currently lists: novita. Availability can vary by region and account.
When should I choose Llama 3 70B Instruct?
You need provider failover options exposed for this model id — especially when you specifically need Llama 3 70B Instruct.
What modalities does Llama 3 70B Instruct support?
Llama 3 70B Instruct accepts text and produces text according to its architecture metadata on LLM.API.
What is the context length for Llama 3 70B Instruct?
Reported context for Llama 3 70B Instruct is 8K tokens. Always verify the active provider row if multiple providers are listed.
Can I use tools or structured outputs with Llama 3 70B Instruct?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.
How is Llama 3 70B Instruct priced on LLM.API?
Listed pricing metadata shows: In $0.51 / 1M tokens · Out $0.74 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
Does Llama 3 70B Instruct support streaming?
Yes—at least one listed provider advertises streaming.
Where is the canonical page for Llama 3 70B Instruct?
https://llmapi.ai/models/meta-llama-llama-3-70b-instruct/
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