AIVory Smart Inference  ·  Llama

Open Weight

Llama 3.3 70B - the open-weight workhorse.

The most widely deployed open-weight model. Hosted by nearly every inference provider, which means more competition on price. 128K context, reliable output.

At a glance

Llama 3.3 70B via Smart Inference.

Routed to the cheapest live provider on every request. Same model, lower bill.

70B
Parameters

Dense Transformer

128K
Context window

tokens per request

Cheapest input price

per 1M tokens via Smart Inference

%
Cheaper

vs the priciest endpoint for the same model

Pricing

Llama 3.3 70B: price comparison.

Our cheapest routed price vs what you'd pay elsewhere.

Fetching prices…

Prices in USD per 1M input tokens · updated live from the router

Quick start

Use Llama 3.3 70B in three lines.

OpenAI-compatible. Swap your base_url, keep everything else.

from openai import OpenAI

client = OpenAI(
    base_url="https://smart.aivory.net/v1",
    api_key="sk-aivory-...",
)

resp = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Ship it."}],
)
print(resp.choices[0].message.content)

That's the whole migration. Get early access and try it →

Use cases

What Llama 3.3 70B is great at.

  1. General-Purpose Assistant Backend

    Llama 3.3 70B is the default choice when you need a solid model and don't have a specific reason to pick something else. Summarization, Q&A, text rewriting, data extraction. It handles all of them consistently.

  2. Coding Assistants

    Strong on Python, JavaScript, Java, and TypeScript generation. Use it as the backbone for IDE plugins, code review bots, or test generators. Most providers serve it with sub-second first-token latency.

  3. High-Availability Workloads

    More providers host Llama 3.3 than any other open model. That means the router always has fallback options. If your top priority is uptime over peak quality, 3.3 is the safest pick.

FAQ

Common questions.

How cheap is Llama 3.3 70B on AIVory?

Because so many providers compete on Llama 3.3, it's often the cheapest 70B-class model available. The priciest endpoint can cost 3x the cheapest. Smart Inference always picks the lowest. Check the live table above.

Is Llama 3.3 still worth using with Llama 4 available?

Yes. Llama 3.3 is faster and cheaper per token than Maverick or Scout. For tasks that don't need multimodal input or frontier-level reasoning, 3.3 gives you better cost efficiency.

How many providers serve Llama 3.3?

More than any other model in the catalogue. The exact count changes, but the router typically evaluates 5+ candidates per request. Check the X-SI-Candidates header on your responses to see the current count.

Can I use Llama 3.3 for commercial products?

Yes. Meta's Llama 3.3 Community License allows commercial use. There are no royalties or usage caps for applications under 700M monthly active users.

Llama 3.3 70B vs Qwen 2.5 72B?

Similar size, similar cost. Llama 3.3 has broader provider coverage and slightly better English benchmarks. Qwen 2.5 is stronger on multilingual tasks and math. Pick based on your workload.

Start using Llama 3.3 70B. Today.

Swap your base_url, keep shipping.

The router is live. Credits from $10, no subscription, no commitment.