NewPoint any agent at UberLLM — one key, every model, list price or less.

Llama 3.2 3B vs Llama 3.3 70B Instruct

meta-llama/llama-3.2-3b-instruct · meta-llama/llama-3.3-70b-instruct

As of October 24, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0552 per million input tokens and $0.1767 per million output, versus $0.0440 / $0.2899 for Llama 3.2 3B — about 36% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with UberLLM's 10% fee already included, so the price you see is the price you pay. Choose Llama 3.3 70B Instruct to cut cost; choose Llama 3.2 3B when its capabilities fit your task better.

Llama 3.2 3B vs Llama 3.3 70B Instruct, side by side

SpecLlama 3.2 3BLlama 3.3 70B Instruct
Price · input / 1M$0.0440$0.0552
Price · output / 1M$0.2899$0.1767
Context length128,000131,072
Max output tokens4,09616,384
Input modalitiestexttext
Output modalitiestexttext
Tools / functions—Yes
Cheapest sellerUberLLMUberLLM
% off list14% off45% off

Live prices via UberLLM, routed to the cheapest healthy seller. The price shown includes UberLLM’s 10% fee. Updated October 24, 2026.

Llama 3.2 3B vs Llama 3.3 70B Instruct — FAQ

Is Llama 3.2 3B or Llama 3.3 70B Instruct cheaper?

Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 36%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with its 10% fee included.

What's the price difference between Llama 3.2 3B and Llama 3.3 70B Instruct?

Llama 3.2 3B: $0.0440 in / $0.2899 out per 1M tokens. Llama 3.3 70B Instruct: $0.0552 in / $0.1767 out per 1M tokens. That's roughly a 36% blended difference. Prices are live and include UberLLM's 10% fee.

Can I use both Llama 3.2 3B and Llama 3.3 70B Instruct with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.