text-embedding-3-large
azure-cognitive-services/text-embedding-3-large · family text-embedding · in: text → out: text · price provider-declared (via models.dev). Capabilities: text.
$0.10
Blended $/1M (3:1)
$0.13
Input $/1M
free
Output $/1M
$0.13
1M in + 1M out
—
Cache read $/1M
#920 of 7,708
Cheapest rank
- Provider
- Azure Cognitive Services (
azure-cognitive-services) - Kind
- text (outputs text)
- Context
- 8,192 tokens
- Max output
- 3,072 tokens
- Capabilities
- text
Same model, other providers
“text-embedding-3-large” is offered by 4 providers — cheapest-effective first. SAP AI Core is the cheapest at $0.07 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| SAP AI Core | $0.09 | free | $0.07 | 8k |
| Azure Cognitive Services (this) | $0.13 | free | $0.10 | 8k |
| Azure | $0.13 | free | $0.10 | 8k |
| OpenAI | $0.13 | free | $0.10 | 8k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Azure Cognitive Services 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-large","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):