text-embedding-3-small
azure/text-embedding-3-small · family text-embedding · in: text → out: text · price provider-declared (via models.dev). Capabilities: text.
$0.01
Blended $/1M (3:1)
$0.02
Input $/1M
free
Output $/1M
$0.02
1M in + 1M out
—
Cache read $/1M
#624 of 7,708
Cheapest rank
- Provider
- Azure (
azure) - Kind
- text (outputs text)
- Context
- 8,192 tokens
- Max output
- 1,536 tokens
- Capabilities
- text
Same model, other providers
“text-embedding-3-small” is offered by 4 providers — cheapest-effective first. This one (Azure) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Azure (this) | $0.02 | free | $0.01 | 8k |
| Azure Cognitive Services | $0.02 | free | $0.01 | 8k |
| SAP AI Core | $0.02 | free | $0.01 | 8k |
| OpenAI | $0.02 | free | $0.01 | 8k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Azure and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"text-embedding-3-small","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):