Mercury 3
venice/mercury-3 · family mercury · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text.
$0.16
Blended $/1M (3:1)
$0.1
Input $/1M
$0.35
Output $/1M
$0.45
1M in + 1M out
$0.01 −90%
Cache read $/1M
#1533 of 8,577
Cheapest rank
- Provider
- Venice AI (
venice) - Kind
- text (outputs text)
- Context
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Capabilities
- tools reasoning text
Same model, other providers
“Mercury 3” is offered by 5 providers — cheapest-effective first. This one (Venice AI) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Venice AI (this) | $0.1 | $0.35 | $0.16 | 1M |
| Inception | $0.1 | $0.35 | $0.16 | 1M |
| NanoGPT | $0.1 | $0.35 | $0.16 | 1M |
| Vercel AI Gateway | $0.1 | $0.35 | $0.16 | 1M |
| OpenRouter | $0.1 | $0.35 | $0.16 | 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":"mercury-3","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):