Llama 3.3 70B
venice/llama-3.3-70b · family llama · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools text.
$1.22
Blended $/1M (3:1)
$0.7
Input $/1M
$2.8
Output $/1M
$3.50
1M in + 1M out
—
Cache read $/1M
#4390 of 7,708
Cheapest rank
- Provider
- Venice AI (
venice) - Kind
- text (outputs text)
- Context
- 128,000 tokens
- Max output
- 4,096 tokens
- Capabilities
- tools text
Same model, other providers
“Llama 3.3 70B” is offered by 6 providers — cheapest-effective first. STACKIT is the cheapest at $0.59 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| STACKIT | $0.53 | $0.76 | $0.59 | 128k |
| Groq | $0.59 | $0.79 | $0.64 | 131k |
| CoreWeave | $0.71 | $0.71 | $0.71 | 128k |
| Together AI | $1.04 | $1.04 | $1.04 | 131k |
| Venice AI (this) | $0.7 | $2.8 | $1.22 | 128k |
| NanoGPT | $1.75 | $2.75 | $2.00 | 128k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Venice 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","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):