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Model comparison

Llama 3.3 70B vs o1

Llama 3.3 70B (Meta) and o1 (OpenAI) side by side: what each costs per million tokens through Rapid Router, how much context each takes, what each supports, and where independent benchmarks place them. Same API, same key; switching is a one-string change.

Llama 3.3 70Bo1
Input price per 1M$1.04$15.00
Output price per 1M$1.04$60.00
Context window128K tokens200K tokens
Max output4K tokens100K tokens
Input typestexttext, image
Capabilitiestoolstools, vision, reasoning
AuthorMetaOpenAI

What a month costs on each

WorkloadLlama 3.3 70Bo1
Chatbot month (15M in, 4M out)$19.76$465.00
RAG month (40M in, 3M out)$44.72$780.00
Coding month (60M in, 10M out)$72.80$1500.00

On a typical 75/25 input-output mix, Llama 3.3 70B costs less (about 96% less than o1). o1 takes the longer prompt at 200K tokens. Try your own numbers in the cost calculator.

Call either one

curl https://rapidrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $RAPIDROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "meta-llama/llama-3.3-70b", "messages": [{"role": "user", "content": "Hello"}]}'

# the other one: change the model string
  -d '{"model": "openai/o1", ...}'

Common questions

Which is cheaper, Llama 3.3 70B or o1?

Llama 3.3 70B is cheaper on a typical mix of 75% input and 25% output tokens, by about 96%. Through Rapid Router both are billed at the provider list price per million tokens.

Which has the larger context window?

o1, at 200K tokens. Llama 3.3 70B offers 128K tokens.

Can I switch between Llama 3.3 70B and o1 without changing code?

Yes. Both are callable at https://rapidrouter.ai/api/v1 with the same OpenAI-compatible request; only the model string changes (meta-llama/llama-3.3-70b or openai/o1).

How do I pay for Llama 3.3 70B or o1?

Top up a Rapid Router balance by card in US dollars, and both models debit that balance per request.

More Llama models: Meta API pricing · More GPT: OpenAI API pricing