Llama 3.3 70B Instruct
meganova/meta-llama/Llama-3.3-70B-Instruct · family llama · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools text.
$0.15
Blended $/1M (3:1)
$0.1
Input $/1M
$0.3
Output $/1M
$0.40
1M in + 1M out
—
Cache read $/1M
#1300 of 7,712
Cheapest rank
- Provider
- Meganova (
meganova) - Kind
- text (outputs text)
- Context
- 131,072 tokens
- Max output
- 16,384 tokens
- Capabilities
- tools text
Same model, other providers
“Llama 3.3 70B Instruct” is offered by 10 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 (this) | $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 |
| Amazon Bedrock | $0.72 | $0.72 | $0.72 | 128k |
| Vertex | $0.72 | $0.72 | $0.72 | 128k |
| Regolo AI | $0.6 | $2.7 | $1.13 | 128k |
| CloudFerro Sherlock | $2.92 | $2.92 | $2.92 | 70k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Meganova 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/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):