Llama 4 Maverick 17B Instruct

hyper/llama-4-maverick-17b-128e-instruct-fp8 · family llama · price provider-declared (via models.dev), USD per 1M tokens. Capabilities: toolstext.

$0.43Blended $/1M (3:1)

$0.274Input $/1M

$0.8992Output $/1M

$1.171M in + 1M out

—Cache read $/1M

#2006 of 5,000Cheapest rank

Provider: Charm Hyper (hyper)
Context: 430,000 tokens
Max output: 43,000 tokens
Capabilities: toolstext

Same model, other providers

“Llama 4 Maverick 17B Instruct” is offered by 5 providers — cheapest-effective first. Abacus is the cheapest at $0.25 blended.

Provider	Input	Output	Blended	Context
Abacus	$0.14	$0.59	$0.25	1049k
LLM Gateway	$0.27	$0.85	$0.42	1049k
Amazon Bedrock	$0.24	$0.97	$0.42	1000k
Charm Hyper (this)	$0.274	$0.8992	$0.43	430k
Neon	$0.5	$1.5	$0.75	1000k

Call it

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

curl $BASE_URL/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"llama-4-maverick-17b-128e-instruct-fp8","messages":[{"role":"user","content":"hello"}]}'

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