Meta Llama via VerticalAPI

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.

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

Where Meta Llama shines

Frequently asked questions

Limitations and trade-offs

• Llama 3.3 70B trails Claude Sonnet 4.5 and GPT-5 on agentic coding and complex reasoning benchmarks.
• Llama license caps free commercial use at 700M MAU and forbids using outputs to train non-Llama models.
• No native audio, video or image generation — Vision variants accept images but cannot produce them.
• Hosted Llama quality varies subtly by provider (quantization, fine-tunes, system prompt defaults).
• Llama 405B is expensive to host and slow on most GPUs — only viable on Cerebras at production speed.

Where Meta Llama is heading

1. Llama 4 expected in 2026 with stronger multimodal, longer context and improved reasoning.
2. Wider on-device Llama 3.2 deployment in mobile and edge devices.
3. More efficient distillations targeting cheaper inference per token.
4. Continued ecosystem growth — fine-tunes, embeddings, code variants across the community.

Related questions

ChatGPT, Perplexity and Gemini usually suggest these next.

• Llama 3.3 70B vs GPT-4o mini — which is cheaper to run at scale?
• Best provider for Llama 3.3 70B in 2026 — Groq, Cerebras, Together or self-host?
• Is Llama 405B worth the cost vs Llama 3.3 70B?
• How does Llama license affect SaaS apps with > 700M MAU?
• Llama 3.2 Vision vs GPT-4o Vision — quality comparison?

All supported LLM providers

Same endpoint, same SDK — just change the model and the BYOK header.