jishie

Llama 3.1 8B Instruct

abacus/meta-llama/Meta-Llama-3.1-8B-Instruct · family llama · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools text.

$0.03
Blended $/1M (3:1)
$0.02
Input $/1M
$0.05
Output $/1M
$0.07
1M in + 1M out
—
Cache read $/1M
#588 of 8,509
Cheapest rank
Provider
Abacus (abacus)
Kind
text (outputs text)
Context
128,000 tokens
Max output
4,096 tokens
Capabilities
tools text

Same model, other providers

“Llama 3.1 8B Instruct” is offered by 6 providers — cheapest-effective first. NanoGPT is the cheapest at $0.03 blended.

ProviderInputOutputBlendedContext
NanoGPT$0.02$0.04$0.03131k
Inference$0.025$0.025$0.0316k
Abacus (this)$0.02$0.05$0.03128k
Vercel AI Gateway$0.22$0.22$0.22128k
Amazon Bedrock$0.22$0.22$0.22128k
Neon$0.15$0.45$0.22131k

Call it

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

Most providers are OpenAI-compatible — point base_url at Abacus 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/Meta-Llama-3.1-8B-Instruct","messages":[{"role":"user","content":"hello"}]}'

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

← all Abacus models · model index · JSON