Meta Llama via VerticalAPI
Llama 3.3 70B, Llama 3.2 Vision and Llama 4 via VerticalAPI's OpenAI-compatible endpoint. BYOK through your Together, Groq, Fireworks or Bedrock account — zero markup.
Meta Llama models routed by VerticalAPI
Pass the model ID below as model in any OpenAI-compatible request. New Meta Llama models are typically supported within 24h of release.
| Model ID | Name | Context | Pricing (provider) |
|---|---|---|---|
llama-3.3-70b-instruct |
Llama 3.3 70B | 128K | Host-dependent — typically $0.50-$0.90 per 1M tok |
llama-3.2-90b-vision |
Llama 3.2 90B Vision | 128K | Host-dependent |
llama-3.1-405b-instruct |
Llama 3.1 405B | 128K | Host-dependent — flagship open-weights |
llama-4-scout |
Llama 4 Scout (preview) | 10M | Preview — host-dependent |
Pricing reflects Meta Llama's rates — you pay Meta Llama directly. VerticalAPI adds zero markup on tokens.
5-line Meta Llama call via VerticalAPI
Drop-in replacement for the OpenAI SDK. Works with the OpenAI Python client, Node, Go, curl — anything that speaks HTTP.
from openai import OpenAI client = OpenAI( base_url="https://api.verticalapi.com/v1", api_key="vapi_...", default_headers={"X-Provider-Key": "varies by host..."} ) response = client.chat.completions.create( model="llama-3.3-70b-instruct", # Meta Llama messages=[{"role": "user", "content": "Hello"}] ) print(response.choices[0].message.content)
Four reasons developers route Meta Llama through us
Zero token markup
You pay Meta Llama directly with your own key. VerticalAPI's revenue is the gateway subscription, not a tax on your tokens.
One key, every provider
Meta Llama alongside OpenAI, Anthropic, Gemini and 12 more — same OpenAI-compatible endpoint, same SDK, switchable per-request.
Latency & cost monitoring
Per-request token counts, p50/p95 latency and cost dashboards out of the box. Compare Meta Llama to other providers on identical prompts.
Observability built in
Every Meta Llama call gets a trace ID, replayable payload and audit log entry. Wire to Datadog or Sentry via OpenTelemetry.
Where Meta Llama shines
Common questions about Meta Llama on VerticalAPI
Which host serves Llama models?
VerticalAPI lets you BYOK to Together AI, Groq, Fireworks, AWS Bedrock or your own self-hosted endpoint. Pick a host in the dashboard, paste its key, and call the model name — we route under the hood.
Why not call Together AI directly?
VerticalAPI gives you a single OpenAI-compatible endpoint, single key, and switchable hosts. Move from Together to Groq for speed without changing app code.
Is Llama 4 available?
Llama 4 Scout (10M context) is supported in preview where the host has rolled it out. Maverick variants are added as hosts release them.
All supported LLM providers
Same endpoint, same SDK — just change the model and the BYOK header.
Ship on Meta Llama in 60 seconds
Free tier — bring your own Meta Llama key, zero markup, OpenAI-compatible endpoint.
Get your VerticalAPI key →