diff --git a/skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md b/skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md
index 4c3519c..fc329d7 100644
--- a/skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md
+++ b/skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md
@@ -1,6 +1,6 @@
 # Reserved Capacity and Commitment Discounts
 
-**Last updated:** 2026-04
+**Last updated:** 2026-06
 **Status:** GA
 **Category:** Cost Optimization & FinOps for AI
 
@@ -41,6 +41,8 @@ Reserved capacity og commitment tier pricing er Azures to primære mekanismer fo
 
 **Viktig:** Reservations for Regional, Data Zone og Global er **ikke utskiftbare** — du må kjøpe separate reservasjoner for hver deployment type.
 
+**Merk (minimum-PTU):** Minimum og scale increment varierer per modell og versjon — tabellen viser GPT-4o/GPT-5-klassen. Eksempler: gpt-5-mini = 25 regional; enkelte Foundry Models (DeepSeek/Fireworks) har 100+ minimum. Se modellspesifikk [PTU-sizing-tabell](https://learn.microsoft.com/azure/foundry/openai/how-to/provisioned-throughput-sizing).
+
 #### Reservation Scopes
 
 | Scope | Beskrivelse | Bruksområde |
@@ -79,7 +81,7 @@ Deployed PTUs > Reserved PTUs → Excess charged at hourly rate
 Fra mai 2025 støtter PTU-reservasjoner automatisk **cross-model sharing**:
 
 - Én reservasjon kan dekke Azure OpenAI **og** Foundry Models (DeepSeek, Llama, etc.)
-- Reservasjonen anvendes først til Azure OpenAI, deretter Foundry Models
+- Rabatten deles automatisk på tvers av alle støttede modeller i scope — matching skjer per time på aggregert PTU-forbruk, ikke per modell eller deployment-ID
 - Excess utover reservasjon faktureres per modellens hourly rate
 
 **Eksempel:**
@@ -230,7 +232,7 @@ Commitment tier pricing gjelder for **single-service resources** (ikke multi-ser
 ┌─────────────────────────────────────────────────┐
 │  NEW: Hourly + Azure Reservation                │
 │  ├─ Binding: Flexible scope (sub/RG/MG)         │
-│  ├─ Models: All models (incl. gpt-5, o-series)  │
+│  ├─ Models: All models (incl. gpt-5.1, o-series)│
 │  └─ Overage: Can be covered by reservation      │
 └─────────────────────────────────────────────────┘
 ```
@@ -250,11 +252,12 @@ Commitment tier pricing gjelder for **single-service resources** (ikke multi-ser
 ```
 Er tjenesten Azure OpenAI/Foundry Models?
 │
-├─ JA → Bruk Azure Reservations (PTU)
+├─ JA → Provisioned (PTU), evt. med Azure Reservation for stabil last
 │   │
 │   ├─ Stabil trafikk i >3 måneder? → 1-year reservation
 │   ├─ Stabil trafikk i >1 måned? → 1-month reservation
-│   └─ Ad-hoc/testing? → Hourly (no reservation)
+│   ├─ Latenssensitiv, men variabel last? → Priority processing (pay-per-token, latensmål; ikke reserverbar)
+│   └─ Ad-hoc/testing? → Hourly PTU eller Standard (pay-as-you-go)
 │
 └─ NEI → Er det Cognitive Services (Speech/Language/Vision)?
     │
@@ -300,10 +303,10 @@ Tilgjengelig i deployment workflow:
 - **Recommended PTUs** (avrundet til scale increment)
 - **Raw PTUs** (eksakt estimat)
 
-**Eksempel (gpt-5):**
+**Eksempel (gpt-5.1):**
 - Input TPM: 100K
-- Output TPM: 25K (output tokens teller 8x input, jf. pricing ratio)
-- Resultat: ~150 PTUs regional (avrundet til 150, min 50)
+- Output TPM: 25K (output teller 8x input — gpt-5.1 sizing-ratio, verifisert)
+- Resultat: normalisert last 100K + (25K x 8) = 300K TPM; 300K / 4750 input-TPM per PTU = ~63 rå PTU → rundet opp til 100 PTU regional (min/increment 50)
 
 **💡 Tip:** For workloads med **stor variance** i call shapes, benchmark på faktisk trafikk i 1-2 uker før sizing.
 
@@ -542,8 +545,8 @@ Tilgjengelig i deployment workflow:
 
 | Kilde | Type | Last Verified |
 |-------|------|---------------|
-| [Save costs with Microsoft Foundry Provisioned Throughput Reservations](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/azure-openai) | Offisiell docs | 2026-01 |
-| [Understanding costs associated with provisioned throughput units (PTU)](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing) | Offisiell docs | 2026-01 |
+| [Save costs with Microsoft Foundry Provisioned Throughput Reservations](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/azure-openai) | Offisiell docs | 2026-06 |
+| [Understanding costs associated with provisioned throughput units (PTU)](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput-billing) | Offisiell docs | 2026-06 |
 | [Azure OpenAI provisioned Managed offering updates](https://learn.microsoft.com/en-us/azure/foundry-classic/openai/concepts/provisioned-migration) | Offisiell docs | 2025-08 |
 | [Purchase commitment tier pricing](https://learn.microsoft.com/en-us/azure/ai-services/commitment-tier) | Offisiell docs | 2026-01 |
 | [What is provisioned throughput?](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput) | Offisiell docs | 2026-01 |