GPT-5.6 Luna Pro
venice/openai-gpt-56-luna-pro · family gpt-luna · in: text, image → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image.
$0.45
Blended $/1M (3:1)
$0.2
Input $/1M
$1.2
Output $/1M
$1.40
1M in + 1M out
$0.02 −90%
Cache read $/1M
#2906 of 8,504
Cheapest rank
- Provider
- Venice AI (
venice) - Kind
- text (outputs text)
- Context
- 1,000,000 tokens
- Max output
- 128,000 tokens
- Capabilities
- tools reasoning text image
Same model, other providers
“GPT-5.6 Luna Pro” is offered by 4 providers — cheapest-effective first. This one (Venice AI) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Venice AI (this) | $0.2 | $1.2 | $0.45 | 1M |
| OpenRouter | $0.2 | $1.2 | $0.45 | 1.1M |
| AI/ML API | $0.2116 | $1.27 | $0.48 | 1.1M |
| Prime Inference | $1 | $6 | $2.25 | 1.1M |
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":"openai-gpt-56-luna-pro","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):