Llama 3.3 70b Instruct
nvidia/meta/llama-3.3-70b-instruct · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools text.
free
Blended $/1M (3:1)
free
Input $/1M
free
Output $/1M
free
1M in + 1M out
—
Cache read $/1M
#317 of 7,708
Cheapest rank
- Provider
- Nvidia (
nvidia) - Kind
- text (outputs text)
- Context
- 128,000 tokens
- Max output
- 4,096 tokens
- Capabilities
- tools text
Same model, other providers
“Llama 3.3 70b Instruct” is offered by 10 providers — cheapest-effective first. This one (Nvidia) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Nvidia (this) | free | free | $0.00 | 128k |
| NanoGPT | $0.05 | $0.23 | $0.10 | 131k |
| Meganova | $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 Nvidia 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):