Llama 3.3 70B Instruct

regolo-ai/llama-3.3-70b-instruct · family llama · price provider-declared (via models.dev), USD per 1M tokens. Capabilities: toolstext.

$1.13Blended $/1M (3:1)

$0.6Input $/1M

$2.7Output $/1M

$3.301M in + 1M out

—Cache read $/1M

#3316 of 5,000Cheapest rank

Provider: Regolo AI (regolo-ai)
Context: 128,000 tokens
Max output: 16,384 tokens
Capabilities: toolstext

Same model, other providers

“Llama 3.3 70B Instruct” is offered by 9 providers — cheapest-effective first. Nvidia is the cheapest at $0.00 blended.

Provider	Input	Output	Blended	Context
Nvidia	free	free	$0.00	128k
NanoGPT	$0.05	$0.23	$0.10	131k
Meganova	$0.1	$0.3	$0.15	131k
IO.NET	$0.13	$0.38	$0.19	128k
NovitaAI	$0.135	$0.4	$0.20	131k
Merge Gateway	$0.22	$0.5	$0.29	131k
Vertex	$0.72	$0.72	$0.72	128k
Amazon Bedrock	$0.72	$0.72	$0.72	128k
Regolo AI (this)	$0.6	$2.7	$1.13	128k

Call it

jishie indexes & prices models; it does not proxy inference. Most providers are OpenAI-compatible — point base_url at Regolo AI and pass this model id:

curl $BASE_URL/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"llama-3.3-70b-instruct","messages":[{"role":"user","content":"hello"}]}'

Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):