Loading model details
Open weights, run inside a TEE. Inference happens sealed, so the prompt stays inside the enclave.
Released
Oct 2026Modalities
Text · Tool calling · Image inputBest reported price on SayGM
-7.3%In
Cached
Out
per Mtok*
Create an API key and set it as SAYGM_API_KEY in your terminal.
curl "https://api.saygm.com/v1/chat/completions" \
-H "Authorization: Bearer $SAYGM_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistral-large-4-tee",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}'SayGM's best reported rate for mistral-large-4-tee next to list price — 7.3% off.
| Dimension | SayGM price | List price |
|---|---|---|
| Input | $0.6489per Mtok | $0.70 |
Explore the Mistral lab and compare related models.
The best reported rate for mistral-large-4-tee on SayGM is $0.65 per million input tokens and $1.95 per million output tokens.
SayGM's best reported rate for mistral-large-4-tee is 7.3% off list price.
Yes. mistral-large-4-tee is served on SayGM's OpenAI-compatible chat/completions surface, so an unmodified OpenAI SDK pointed at SayGM's base URL works with it.
| Output |
| $1.9467per Mtok |
| $2.10 |
| Cache read | $0.06489per Mtok | $0.07 |
What buyers have actually paid on this model recently, across every provider and cache hits.
Input
$0.65
$0.70Cached input
up to $0.07
Output
$1.95
$2.10Requests are load balanced across every provider serving this model, each offering its own rate, so what you pay is a blend rather than a single number. These are the blended rates actually paid — priced at what a provider offered, capped at list.
Measured over 168 windows: 3 requests and 77 input-side tokens, short of the 2,000,000 tokens the window walks for. Most recent window closed 2026-10-30 15:41 UTC.
Every provider currently serving this model, ranked by discount.
| Provider | Discount | In | Out |
|---|---|---|---|
| Provider 1 | 7.3% off | $0.65 | $1.95 |
Measured on the requests SayGM routed to this model.
Fixed-seed suites SayGM runs against this model.
No benchmark run has been published for this model.
What is private AI inference? →