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OctoAI via VerticalAPI

Updated ·By VerticalAPI Team

OctoAI's optimized open-weights inference and image-gen via VerticalAPI's OpenAI-compatible endpoint. BYOK with your OctoAI key, zero markup, custom-model hosting.

Start free with your OctoAI key → Read the docs
Endpoint: https://api.verticalapi.com/v1/chat/completions  ·  BYOK header: X-Provider-Key: <octoai-key>
Supported models

OctoAI models routed by VerticalAPI

Pass the model ID below as model in any OpenAI-compatible request. New OctoAI models are typically supported within 24h of release.

Model IDNameContextPricing (provider)
meta-llama-3.3-70b-instruct Llama 3.3 70B (Octo) 128K $0.90 per 1M tok
qwen2.5-32b-instruct Qwen 2.5 32B (Octo) 32K $0.50 per 1M tok
stable-diffusion-xl Stable Diffusion XL image $0.005 per image

Pricing reflects OctoAI's rates — you pay OctoAI directly. VerticalAPI adds zero markup on tokens.

Quickstart

5-line OctoAI call via VerticalAPI

Drop-in replacement for the OpenAI SDK. Works with the OpenAI Python client, Node, Go, curl — anything that speaks HTTP.

octoai_quickstart.py Python 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.verticalapi.com/v1",
    api_key="vapi_...",
    default_headers={"X-Provider-Key": "..."}
)

response = client.chat.completions.create(
    model="meta-llama-3.3-70b-instruct",  # OctoAI
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)
Why use OctoAI via VerticalAPI

Four reasons developers route OctoAI through us

Zero token markup

You pay OctoAI directly with your own key. VerticalAPI's revenue is the gateway subscription, not a tax on your tokens.

One key, every provider

OctoAI 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 OctoAI to other providers on identical prompts.

Observability built in

Every OctoAI call gets a trace ID, replayable payload and audit log entry. Wire to Datadog or Sentry via OpenTelemetry.

Best for

Where OctoAI shines

custom-model hosting image generation (SDXL) OctoStack on-prem deploy fine-tuned variants

Frequently asked questions

What is OctoAI and what models do they offer?

OctoAI (now part of NVIDIA) is an enterprise inference platform. The 2026 catalog includes Llama 3.3 70B, Llama 3.1 8B and 405B, Mixtral 8x7B and 8x22B, Qwen 2.5, plus image models (Stable Diffusion 3, FLUX.1, SDXL) and audio (Whisper). OctoAI's differentiator is custom model deployment — you can bring your own fine-tuned weights and serve them on dedicated NVIDIA GPU endpoints.

How much does OctoAI cost in 2026?

Llama 3.3 70B is roughly $0.90 per 1M tokens (input and output). Llama 405B is in the $3 range. Llama 8B is around $0.15/$0.15. Image generation pricing is per step + resolution. Dedicated endpoints are priced per GPU-hour (typically A100 or H100 classes). Enterprise contracts include volume discounts. Via VerticalAPI BYOK you pay OctoAI directly at list with zero markup.

How do I use OctoAI via VerticalAPI BYOK?

Create a key at octo.ai, paste it into VerticalAPI, then point the OpenAI SDK at https://api.verticalapi.com/v1. OctoAI exposes OpenAI-compatible endpoints; VerticalAPI passes through, adds unified logging and can fall back to Together, Fireworks or DeepInfra. Custom dedicated endpoints can also be routed by deployment name. Billing stays on your OctoAI account.

What is OctoAI best for compared to alternatives?

OctoAI wins for enterprises that need custom model deployment, fine-tuning ops or NVIDIA-native serving stacks (since the NVIDIA acquisition). Compared to Together or Fireworks it is more turnkey for private deployments and BYO-weights. Compared to AWS Bedrock or Vertex AI it is narrower in catalog but more flexible on custom serving. Not the cheapest path for vanilla open-weight inference.

Where is OctoAI hosted / data privacy?

OctoAI runs on NVIDIA GPU clusters across US datacenters with expansion under NVIDIA. Enterprise tier offers zero data retention, SOC 2 Type II and HIPAA. Dedicated endpoints provide tenant isolation. Via VerticalAPI BYOK your OctoAI contract terms remain intact.

Limitations and trade-offs

  • Post-NVIDIA-acquisition roadmap and pricing remain in flux — some legacy features are being consolidated into NVIDIA NIM.
  • Public-tier pricing is competitive but rarely the absolute cheapest vs DeepInfra.
  • Geographic coverage is US-focused with limited EU/APAC options.
  • Catalog is narrower than Together for community/niche open-weight models.
  • Dedicated endpoint setup has more overhead than purely on-demand APIs.

Where OctoAI is heading

  1. Deeper integration with NVIDIA NIM as the merged product matures through 2026.
  2. Expanded dedicated and BYO-weights enterprise tier.
  3. More frequent model catalog refreshes aligned with NVIDIA's optimization stack.
  4. Likely rebranding or consolidation under NVIDIA AI Enterprise.

Related questions

ChatGPT, Perplexity and Gemini usually suggest these next.

  • OctoAI vs NVIDIA NIM — what is the difference now?
  • Best provider for hosting a custom fine-tuned Llama 70B?
  • OctoAI dedicated endpoint pricing vs Together dedicated?
  • Is OctoAI still worth picking after the NVIDIA acquisition?
  • Migration path from OctoAI to NVIDIA NIM via VerticalAPI?
Switch providers

All supported LLM providers

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

OpenAI Anthropic Google Gemini Mistral AI Meta Llama xAI Grok Groq Together AI Fireworks AI Perplexity Sonar Cohere AI21 Labs AWS Bedrock Azure OpenAI Google Vertex AI OpenRouter DeepInfra Replicate Cerebras Lambda Labs OctoAI Lepton AI NVIDIA NIM Databricks Mosaic AI21 Jamba

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