jishie

Llama-3.3-70B-Instruct

sambanova/Meta-Llama-3.3-70B-Instruct · family llama · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools text.

$0.75
Blended $/1M (3:1)
$0.6
Input $/1M
$1.2
Output $/1M
$1.80
1M in + 1M out
—
Cache read $/1M
#3855 of 8,335
Cheapest rank
Provider
SambaNova (sambanova)
Kind
text (outputs text)
Context
131,072 tokens
Max output
3,072 tokens
Capabilities
tools text

Same model, other providers

“Llama-3.3-70B-Instruct” is offered by 22 providers — cheapest-effective first. Llama is the cheapest at $0.00 blended.

ProviderInputOutputBlendedContext
Llamafreefree$0.00128k
Pendrafreefree$0.00128k
Vercel AI Gatewayfreefree$0.00128k
Kilo Gateway$0.1$0.32$0.16131k
Novita AI$0.135$0.4$0.2012k
DevPass (LLM Gateway)$0.135$0.4$0.20131k
Crusoe$0.25$0.75$0.38128k
Abacus$0.59$0.79$0.64131k
OpenRouter$0.59$0.79$0.64131k
Hugging Face$0.59$0.79$0.64131k
Azure$0.71$0.71$0.71128k
Azure Cognitive Services$0.71$0.71$0.71128k
SambaNova (this)$0.6$1.2$0.75131k

Call it

jishie indexes & prices models; it does not proxy inference.

Most providers are OpenAI-compatible — point base_url at SambaNova and pass this model id:

curl $BASE_URL/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"Meta-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):

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