Select the model that suits your needs

• Cost

  Most offerings are paid per token on your Azure invoice. Your own GPU machine is paid by the hour, used or not.

• Quality

  How well the model does your work. Each offering below shows public benchmark scores for code and other tasks, where they exist. There is no public accounting or finance benchmark for these models yet.

• Compliance

  Where a prompt is processed. The EU models and your own machine keep it in the EU; the default model, the frontier models in Foundry and a vendor's own API process it outside the EU.

• Speed

  Typical latency is low on the Azure AI Foundry offerings and medium on your own machine.

The frame, for example EU-only, is chosen with us at setup and locked: your IT admin sees it but cannot change it. Inside the frame, your admin picks which model takes which kind of task, and can give each agent its own model. Only we change the frame later, on your request.

• Azure Europe

  Pick it when no prompt may be processed outside the EU.

  Every prompt is processed by Azure inside the EU data zone. It has fewer models than Azure global, 2 in our list today, mostly open-source ones, and new models reach the EU later. It is not the cheapest: the same model costs about 10% more per token here than worldwide. [19] [20] [22] [23]

  Models you get today

  Model	Open source?	Reasoning score	Coding score	How you pay	Price per million tokens (in / out)
  DeepSeek-V4-Flash · DeepSeek [15]	Open source · MIT [18]	88.1 [18]	Terminal-Bench 2.1: 82.7 [8]	Per token, on your Azure invoice	$0.21 / $0.56 [19]
  Mistral-Large-3 · Mistral AI [15]	Open source · Apache-2.0 [21]	67.2 [21]	—	Per token, on your Azure invoice	$0.55 / $1.65 [22]

• Azure global

  Pick it when you want more models to choose from and can accept that a prompt may be processed in any Azure region worldwide, including outside the EU.

  Everything in Azure Europe, plus the models Azure serves only worldwide, where a prompt may be processed in any Azure region worldwide, including outside the EU: 7 more in our list today, open-source and closed. Your stored data is built to stay in the EU all the same. Because a prompt may leave the EU, you first need a DPIA, a short written assessment of the privacy risk: we provide a template for it.

  Download the DPIA template (PDF)

  What it adds over Azure Europe

  Model	Open source?	Reasoning score	Coding score	How you pay	Price per million tokens (in / out)
  FW-Kimi-K3 · Moonshot AI [1]	Open source · Kimi K3 License [2]	93.5 [4]	Terminal-Bench 2.1: 88.3 [4]	Per token, on your Azure invoice	$3.00 / $15.00 [3]
  FW-DeepSeek-V4.1-Flash · DeepSeek [5]On request	Open source · MIT [6]	90.9 [8]	Terminal-Bench 2.1: 90.6 [8]	Per token, on your Azure invoice	$0.375 / $1.50 [7]
  FW-GLM-5.3 · Z.ai [5]On request	Open source · GLM-5.3 License (MIT-style) [9]	88.1 [8]	Terminal-Bench 2.1: 88.2 [11]	Per token, on your Azure invoice	$1.75 / $5.50 [10]
  gpt-oss-120b · OpenAI [12]On request	Open source · Apache-2.0 [13]	—	—	Per token, on your Azure invoice	$0.15 / $0.60 [14]
  Claude Opus 5.5 · Anthropic [25]On request	Closed · Proprietary — Anthropic's terms (via Microsoft Foundry) [25]	—	—	Per token, on your Azure invoice	$4.00 / $20.00 [26]
  gpt-6-astra · OpenAI [15]On request	Closed · Proprietary — OpenAI's terms (via Microsoft Foundry) [27]	—	—	Per token, on your Azure invoice	$10.00 / $50.00 [28]
  grok-4.7 · SpaceXAI [15]On request	Closed · Proprietary — SpaceXAI's terms (via Microsoft Foundry) [15]	—	—	Per token, on your Azure invoice	$2.00 / $6.00 [29]

  Plus the 2 models in Azure Europe above.

• Direct to the model maker

  Pick it when you want a model that its maker sells only on its own service.

  Everything in Azure global, plus models called directly on their maker’s own service, outside Azure. The maker processes the prompt outside the EU and bills you directly. As with Azure global, a DPIA comes first. The anonymiser is on by default: it replaces the personal data it recognises before a prompt is sent.

  Download the DPIA template (PDF)

  What it adds over Azure global

  Model	Open source?	Reasoning score	Coding score	How you pay	Price per million tokens (in / out)
  Claude Opus 4.8 · Anthropic [25]Outside Azure	Closed · Proprietary — Anthropic's terms (vendor API, outside Azure) [25]	91.0 [4]	Terminal-Bench 2.1: 84.6 [4]	Per token, billed by the model maker	$5.00 / $25.00 [39]

  Plus the 7 models in Azure global above.

• Self-hosted

  Pick it when no prompt may leave machines you run, or you want full control.

  Open-source models run on a GPU machine in your own Azure region, and no model maker sees a prompt. It costs more: you pay for the machine every hour it runs, used or not, and you look after it.

  Models you get today

  Model	Open source?	Reasoning score	Coding score	How you pay	Price per million tokens (in / out)
  DeepSeek V4.1 Flash (open weights) · DeepSeek [8]	Open source · MIT [6]	90.9 [8]	Terminal-Bench 2.1: 90.6 [8]	Your machine, by the hour	—
  GLM-5.3 (open weights) · Z.ai [11]	Open source · GLM-5.3 License (MIT-style) [9]	88.1 [8]	Terminal-Bench 2.1: 88.2 [11]	Your machine, by the hour	—
  Kimi K3 (open weights) · Moonshot AI [4]	Open source · Kimi K3 License [2]	93.5 [4]	Terminal-Bench 2.1: 88.3 [4]	Your machine, by the hour	—
  Qwen3.8 2.4T A95B (open weights) · Qwen [31]	Open source · Qwen3.8-Max License (MIT-style) [32]	—	—	Your machine, by the hour	—

  What a machine costs, for example

  • NVIDIA A100 (NCads A100 v4), swedencentral: about $3,486 a month pay-as-you-go, or about $855 at the Spot price, where Azure may stop the machine. [33]
  • NVIDIA H100 (NCads H100 v5), swedencentral: about $6,624 a month pay-as-you-go, or about $1,563 at the Spot price, where Azure may stop the machine. [30]
  • NVIDIA H100 ×8 (NDsr H100 v5), swedencentral: about $93,306 a month pay-as-you-go, or about $17,243 at the Spot price, where Azure may stop the machine. [34]

  You pay for the machine every hour it runs, used or not. The largest open models need the largest machine.

Reasoning score: the GPQA Diamond test of hard expert questions. Coding score: Terminal-Bench 2.1 / SWE-Bench Verified, tests of real programming tasks; the test used is named next to each score. Higher is better. Scores are percent, as published in the cited source.

Prices are list prices in US dollars per million tokens of text sent to the model (in) and written by it (out), from Azure's public price list or the model maker's price page. You pay them directly, with no cut for us. A model on reserved capacity or on your own machine has no price per token.

• You can run it yourself

  The same model can run on Azure or on a machine you own, so you can move it later without changing how you work.

• No lock-in

  If a provider raises its price or stops offering the model, another host, or your own machine, can run the same files.

• Your prompts can stay with you

  On your own machine, no model maker ever sees a prompt.

• Read the licence

  Each model has its own licence. Most open ones here use a permissive licence such as Apache-2.0 or MIT; some add conditions. Every model’s licence is listed next to it.

Public scores in percent, as published by the source linked beside each figure (some come from one model maker’s comparison of several models); higher is better. Where no public page gives a score, it says “no public figure”: we never estimate one.

• Foundry Azure, open source

  Default

  The best open-weights models in the Azure AI Foundry catalogue, one per vendor, deployed into your subscription. The default among them is served on Fireworks' infrastructure.

  Inside or outside Azure

  Inside Azure

  Where a prompt is processed

  Outside the EU: Microsoft Azure AI Foundry (Global Standard), with most of these models served by a third party.

  Cost

  Pay per token, billed on your Azure invoice. Provisioned throughput is also offered. [1]

  Who holds the keys

  You: the Foundry deployment and its key are designed to live in your own Azure subscription.

  Typical latency

  Low

  How a request flows

  Inside Microsoft Azure

  Built to run in your Azure tenant, in the EU

  1. Your dataRecords from your connected systems
  2. OntologyOne map of your business
  3. AnonymiserMasks the columns your IT admin marks as sensitive
  4. The answerShown to you inside your tenant

  Prompt out →↓←↑ Answer back

  The modelAzure AI Foundry, outside the EUFW-Kimi-K3, FW-DeepSeek-V4.1-Flash, FW-GLM-5.3, gpt-oss-120b

  Benchmark scores by task

  Code

  DeepSWE Fixing real issues in real code repositories

  • FW-Kimi-K367.5[4]
  • FW-DeepSeek-V4.1-Flash74.2[8]
  • FW-GLM-5.366.9[11]
  • no public figure: gpt-oss-120b

  Terminal-Bench 2.1 Multi-step tasks in a real command-line terminal

  • FW-Kimi-K388.3[4]
  • FW-DeepSeek-V4.1-Flash90.6[8]
  • FW-GLM-5.388.2[11]
  • no public figure: gpt-oss-120b

  Accounting and finance

  no public figure

  Other tasks: reasoning, research and science

  HLE-Full (with tools) Hard expert questions, the model may use tools

  • FW-Kimi-K356.0[4]
  • FW-DeepSeek-V4.1-Flash63.9[8]
  • FW-GLM-5.362.5[11]
  • no public figure: gpt-oss-120b

  BrowseComp Finding hard-to-find facts by browsing the web

  • FW-Kimi-K391.2[4]
  • no public figure: FW-DeepSeek-V4.1-Flash, FW-GLM-5.3, gpt-oss-120b

  GPQA Diamond Graduate-level science questions

  • FW-Kimi-K393.5[4]
  • FW-DeepSeek-V4.1-Flash90.9[8]
  • FW-GLM-5.388.1[8]
  • no public figure: gpt-oss-120b

  Pros

  • Open-weights models at open-model prices, billed through your Azure subscription; the same weights can also run on your own machine.
  • No vendor account of ours: the deployment and its key are yours, with Azure governance and access control.
  • The anonymiser is on by default for every model: before a request goes to a model, it replaces the values in the columns your admin marks for masking, and the names, Norwegian national ID numbers, email addresses, phone numbers and IBANs it recognises, with placeholders. Your admin can switch it off per kind of personal data, one model route at a time; every other kind stays masked.

  Cons

  • Prompts are processed outside the EU: a third party serves most of these models, and Microsoft currently excludes that hosting from its EU Data Boundary commitments.
  • Pay-per-token for these models is Global Standard; their host has no Data Zone region in the EU.
  • Pay-per-token Fireworks models have a 15-day notice period before retirement.

  Models in this offering

  Models in this offering	Processing	How you pay	Licence
  FW-Kimi-K3 · Moonshot AI [1]	Global — may be processed outside the EU [1]	Per token [1]3.00 USD in / 15.00 USD out per 1M tokens [3]	Kimi K3 License [2]
  FW-DeepSeek-V4.1-Flash · DeepSeek [5]On request	Global — may be processed outside the EU [5]	Per token [5]0.38 USD in / 1.50 USD out per 1M tokens [7]	MIT [6]
  FW-GLM-5.3 · Z.ai [5]On request	Global — may be processed outside the EU [5]	Per token [5]1.75 USD in / 5.50 USD out per 1M tokens [10]	GLM-5.3 License (MIT-style) [9]
  gpt-oss-120b · OpenAI [12]On request	Global — may be processed outside the EU [12]	Per token [12]0.15 USD in / 0.60 USD out per 1M tokens [14]	Apache-2.0 [13]

  Not listed, and why

  • FW-MiniMax-M3 — Its licence is non-commercial by default: not open source. [5]
  • DeepSeek-V4-Pro, Kimi-K2.6 — One model per vendor: a higher-ranked model of the same vendor is listed. [15]
  • FW-Nemotron-3-Ultra — Licence not verified. [5]

  Source: [1][5][12][16][17]

• Foundry Azure EU, open source

  The best open-weights models sold by Azure with an EU Data Zone deployment, one per vendor: every open-weights text model on Microsoft's region-availability page with a pay-per-token EU Data Zone option.

  Inside or outside Azure

  Inside Azure

  Where a prompt is processed

  In the EU: Microsoft Azure (EU Data Zone).

  Cost

  Pay per token (Data Zone Standard), billed on your Azure invoice. [15]

  Who holds the keys

  You: the Foundry deployment and its key are designed to live in your own Azure subscription.

  Typical latency

  Low

  How a request flows

  Inside Microsoft Azure

  Built to run in your Azure tenant, in the EU

  1. Your dataRecords from your connected systems
  2. OntologyOne map of your business
  3. AnonymiserMasks the columns your IT admin marks as sensitive
  4. The answerShown to you inside your tenant

  Prompt out →↓←↑ Answer back

  The modelAzure AI Foundry, in the EU Data ZoneDeepSeek-V4-Flash, Mistral-Large-3

  Benchmark scores by task

  Code

  Terminal-Bench 2.1 Multi-step tasks in a real command-line terminal

  • DeepSeek-V4-Flash82.7[8]
  • no public figure: Mistral-Large-3

  SWE-Bench Verified Fixing real, human-checked issues in open-source code

  • DeepSeek-V4-Flash79.0[18]
  • no public figure: Mistral-Large-3

  Accounting and finance

  no public figure

  Other tasks: reasoning, research and science

  HLE Hard expert questions, without tools

  • DeepSeek-V4-Flash34.8[18]
  • no public figure: Mistral-Large-3

  GPQA Diamond Graduate-level science questions

  • DeepSeek-V4-Flash88.1[18]
  • Mistral-Large-367.2[21]

  Pros

  • Prompts never leave the EU: Microsoft processes Data Zone deployments within EU member nations.
  • Sold and supported by Microsoft under one Azure agreement.

  Cons

  • A smaller choice than Global Standard, and weaker than the default on the published benchmarks.
  • New model releases reach the EU Data Zone later than Global Standard.

  Models in this offering

  Models in this offering	Processing	How you pay	Licence
  DeepSeek-V4-Flash · DeepSeek [15]	EU Data Zone [15]	Per token [15]0.21 USD in / 0.56 USD out per 1M tokens [19]	MIT [18]
  Mistral-Large-3 · Mistral AI [15]	EU Data Zone [15]	Per token [15]0.55 USD in / 1.65 USD out per 1M tokens [22]	Apache-2.0 [21]

  Not listed, and why

  • Llama-3.3-70B-Instruct — Llama family: not offered. [15]
  • mistral-medium-3-5 — Its licence bars use above a revenue threshold: not open source. [24]
  • DeepSeek-V3.2 — Reserved capacity only (Data Zone Provisioned), and the same vendor as a listed model. [15]
  • Microsoft-Decision-1 — Licence not verified as open weights. [15]
  • Cohere-rerank-v4.0-fast, Cohere-rerank-v4.0-pro — Rerankers, not text-generation models. [15]
  • FLUX-1.1-pro, FLUX.1-Kontext-pro, FLUX.2-pro — Image models, not text-generation models. [15]

  Source: [15][16][17]

• Frontier models in Foundry

  The best closed frontier models sold in Azure AI Foundry, one per vendor, deployed into your subscription and billed on your Azure invoice.

  Inside or outside Azure

  Inside Azure

  Where a prompt is processed

  Outside the EU: Microsoft Azure AI Foundry (Global Standard, or a Data Zone outside the EU for some models).

  Cost

  Pay per token, billed on your Azure invoice. [15]

  Who holds the keys

  You: the Foundry deployment and its key are designed to live in your own Azure subscription.

  Typical latency

  Low

  How a request flows

  Inside Microsoft Azure

  Built to run in your Azure tenant, in the EU

  1. Your dataRecords from your connected systems
  2. OntologyOne map of your business
  3. AnonymiserMasks the columns your IT admin marks as sensitive
  4. The answerShown to you inside your tenant

  Prompt out →↓←↑ Answer back

  The modelAzure AI Foundry, outside the EUClaude Opus 5.5, gpt-6-astra, grok-4.7

  Benchmark scores by task

  Code

  no public figure

  Accounting and finance

  no public figure

  Other tasks: reasoning, research and science

  no public figure

  Pros

  • The highest-ranked models on Foundry's quality index and the Artificial Analysis Intelligence Index.
  • Sold through Azure under one agreement, billed on your Azure invoice.

  Cons

  • Closed weights: you cannot move the model to your own machines.
  • Prompts are processed outside the EU; for some of these models the model's vendor, not Microsoft, is the data processor.

  Models in this offering

  Models in this offering	Processing	How you pay	Licence
  Claude Opus 5.5 · Anthropic [25]On request	Global — may be processed outside the EU [25]	Per token [25]4.00 USD in / 20.00 USD out per 1M tokens [26]	Proprietary — Anthropic's terms (via Microsoft Foundry) [25]
  gpt-6-astra · OpenAI [15]On request	Global — may be processed outside the EU [15]	Per token [15]10.00 USD in / 50.00 USD out per 1M tokens [28]	Proprietary — OpenAI's terms (via Microsoft Foundry) [27]
  grok-4.7 · SpaceXAI [15]On request	Global — may be processed outside the EU [15]	Per token [15]2.00 USD in / 6.00 USD out per 1M tokens [29]	Proprietary — SpaceXAI's terms (via Microsoft Foundry) [15]

  Not listed, and why

  • Claude Fable 5.1, gpt-6.1-sol, grok-4.3 — One model per vendor: a higher-ranked model of the same vendor is listed. [17]
  • MAI-Thinking-1 — Neither index scores it. [15]

  Source: [15][25][16][17]

• Self-hosted VM in your Azure

  Open-weights model files run on a GPU virtual machine or AKS cluster in your own Azure region (Norway East, Sweden Central or West Europe).

  Inside or outside Azure

  Inside Azure, in your own tenant

  Where a prompt is processed

  On your own machine, in your Azure region. No model vendor.

  Cost

  You pay for the GPU machine every hour it runs, used or not. Monthly ranges per machine below. [30]

  Who holds the keys

  You: there is no model vendor at all; the weights run on your own GPU virtual machine or AKS cluster.

  Typical latency

  Medium

  How a request flows

  Inside Microsoft Azure

  Built to run in your Azure tenant, in the EU

  1. Your dataRecords from your connected systems
  2. OntologyOne map of your business
  3. AnonymiserMasks the columns your IT admin marks as sensitive
  4. The modelYour own GPU machine, in your EU regionDeepSeek V4.1 Flash (open weights), GLM-5.3 (open weights), Kimi K3 (open weights), Qwen3.8 2.4T A95B (open weights)
  5. The answerShown to you inside your tenant

  Benchmark scores by task

  Code

  DeepSWE Fixing real issues in real code repositories

  • DeepSeek V4.1 Flash (open weights)74.2[8]
  • GLM-5.3 (open weights)66.9[11]
  • Kimi K3 (open weights)67.5[4]
  • no public figure: Qwen3.8 2.4T A95B (open weights)

  Terminal-Bench 2.1 Multi-step tasks in a real command-line terminal

  • DeepSeek V4.1 Flash (open weights)90.6[8]
  • GLM-5.3 (open weights)88.2[11]
  • Kimi K3 (open weights)88.3[4]
  • no public figure: Qwen3.8 2.4T A95B (open weights)

  Accounting and finance

  no public figure

  Other tasks: reasoning, research and science

  HLE-Full (with tools) Hard expert questions, the model may use tools

  • DeepSeek V4.1 Flash (open weights)63.9[8]
  • GLM-5.3 (open weights)62.5[11]
  • Kimi K3 (open weights)56.0[4]
  • no public figure: Qwen3.8 2.4T A95B (open weights)

  BrowseComp Finding hard-to-find facts by browsing the web

  • Kimi K3 (open weights)91.2[4]
  • no public figure: DeepSeek V4.1 Flash (open weights), GLM-5.3 (open weights), Qwen3.8 2.4T A95B (open weights)

  GPQA Diamond Graduate-level science questions

  • DeepSeek V4.1 Flash (open weights)90.9[8]
  • GLM-5.3 (open weights)88.1[8]
  • Kimi K3 (open weights)93.5[4]
  • no public figure: Qwen3.8 2.4T A95B (open weights)

  Pros

  • Full isolation: no prompt ever leaves machines you run, in the region you chose.
  • Any open-weights model whose licence allows it, including your own fine-tuned one.

  Cons

  • You patch, scale and monitor it; Spot prices are cheaper but the machine can be evicted.
  • The largest models need a multi-GPU machine; the price list shows no H100 or A100 machine in Norway East today, so Sweden Central or West Europe it is.

  Models in this offering

  Models in this offering	Processing	How you pay	Licence
  DeepSeek V4.1 Flash (open weights) · DeepSeek [8]	EU region [8]	Your GPU machine, by the hour [8]	MIT [6]
  GLM-5.3 (open weights) · Z.ai [11]	EU region [11]	Your GPU machine, by the hour [11]	GLM-5.3 License (MIT-style) [9]
  Kimi K3 (open weights) · Moonshot AI [4]	EU region [4]	Your GPU machine, by the hour [4]	Kimi K3 License [2]
  Qwen3.8 2.4T A95B (open weights) · Qwen [31]	EU region [31]	Your GPU machine, by the hour [31]	Qwen3.8-Max License (MIT-style) [32]

  Indicative monthly cost per machine

  • NVIDIA A100 (NCads A100 v4) · swedencentral · 855–3,486 USD per month [33]
  • NVIDIA H100 (NCads H100 v5) · swedencentral · 1,563–6,624 USD per month [30]
  • NVIDIA H100 ×8 (NDsr H100 v5) · swedencentral · 17,243–93,306 USD per month [34]
  • NVIDIA A100 (NCads A100 v4) · westeurope · 644–3,486 USD per month [35]
  • NVIDIA H100 (NCads H100 v5) · westeurope · 3,054–6,628 USD per month [36]
  • NVIDIA H100 ×8 (NDsr H100 v5) · westeurope · 17,243–93,306 USD per month [37]

  Spot price to pay-as-you-go price, Linux, 730 hours a month, from Azure's public price list.

  Not listed, and why

  • norwayeast — The Azure price list returns no NC A100 v4, NC H100 v5 or ND H100 v5 machine in Norway East. [38]

  Source: [4][16][17]

• Direct access

  A direct connection to the model vendor's own API, outside Azure, billed by that vendor.

  Inside or outside Azure

  Outside Azure, on the vendor's own API

  Where a prompt is processed

  Outside the EU, by a third party (the model vendor), on its own API, outside Azure.

  Cost

  Pay per token, billed by the model's vendor. [39]

  Who holds the keys

  You: the vendor's API key is stored in your own key vault.

  Typical latency

  Low

  How a request flows

  Inside Microsoft Azure

  Built to run in your Azure tenant, in the EU

  1. Your dataRecords from your connected systems
  2. OntologyOne map of your business
  3. AnonymiserMasks the columns your IT admin marks as sensitive
  4. The answerShown to you inside your tenant

  Outside Azure

  Prompt out →↓←↑ Answer back

  The modelThe vendor's own API, outside the EUClaude Opus 4.8

  Benchmark scores by task

  Code

  DeepSWE Fixing real issues in real code repositories

  • Claude Opus 4.859.0[4]

  Terminal-Bench 2.1 Multi-step tasks in a real command-line terminal

  • Claude Opus 4.884.6[4]

  Accounting and finance

  no public figure

  Other tasks: reasoning, research and science

  HLE-Full (with tools) Hard expert questions, the model may use tools

  • Claude Opus 4.857.9[4]

  BrowseComp Finding hard-to-find facts by browsing the web

  • Claude Opus 4.884.3[4]

  GPQA Diamond Graduate-level science questions

  • Claude Opus 4.891.0[4]

  Pros

  • A direct connection to the vendor's own API, with no Azure deployment to set up.
  • Billed by the vendor per token, on your own account with it.

  Cons

  • Prompts are processed outside Azure and outside the EU, by the model vendor: you need a DPIA and a transfer safeguard.
  • Closed weights: you cannot move the model to your own machines.

  Models in this offering

  Models in this offering	Processing	How you pay	Licence
  Claude Opus 4.8 · Anthropic [25]Outside Azure	Global — may be processed outside the EU [25]	Per token [25]5.00 USD in / 25.00 USD out per 1M tokens [39]	Proprietary — Anthropic's terms (vendor API, outside Azure) [25]

  Source: [25][39]

• Where your data lives: the product is “designed to run: installed in the customer's own Microsoft Azure tenant, in an EU/EEA region the customer chooses”. Read it on the Compliance page →
• Who decides a change: “Nothing is written back to your systems until a person (or a rule you set) approves it, and every step is logged.” Read it on the Compliance page →
• What the model keeps: “The model keeps no state between calls.” Read it on the Compliance page →
• Where the keys are: “Credentials and secrets designed to be held in the customer's Azure Key Vault, never printed or logged.” Read it on the Compliance page →
• What it is under the AI Act: “It is not built or marketed for any high-risk use listed in the AI Act (Annex III).” Read it on the Compliance page →

1. [1]Fireworks models on Microsoft Foundry — Microsoft Learn (updated 2026-09-22) (opens in a new tab) — fetched 2026-09-28
2. [2]Kimi K3 License (opens in a new tab) — fetched 2026-09-28
3. [3]Azure Retail Prices API — FW Kimi-K3 Gl Inp Tokens / FW Kimi-K3 Gl Opt Tokens, eastus2 (USD) (opens in a new tab) — fetched 2026-10-18
4. [4]Kimi K3 model card, evaluation table (Moonshot AI, vendor-reported; other vendors' columns as Moonshot reports them) (opens in a new tab) — fetched 2026-09-28
5. [5]Fireworks model catalog in Microsoft Foundry — Microsoft Learn (updated 2026-10-19): pay-per-token, Global Standard (opens in a new tab) — fetched 2026-10-20
6. [6]MIT (opens in a new tab) — fetched 2026-10-20
7. [7]Azure Retail Prices API — FW DS-V4.1-Flash Gl Inp Tokens / FW DS-V4.1-Flash Gl Opt Tokens, eastus2 (USD) (opens in a new tab) — fetched 2026-10-20
8. [8]DeepSeek-V4.1-Flash model card, evaluation table (DeepSeek, vendor-reported, max reasoning effort) (opens in a new tab) — fetched 2026-11-03
9. [9]GLM-5.3 License (MIT-style) (opens in a new tab) — fetched 2026-10-20
10. [10]Azure Retail Prices API — FW GLM 5.3 Inp Tokens / FW GLM 5.3 Opt Tokens, eastus2 (USD) (opens in a new tab) — fetched 2026-10-20
11. [11]GLM-5.3 model card, evaluation table (Z.ai, vendor-reported) (opens in a new tab) — fetched 2026-11-03
12. [12]Foundry Models sold directly by Azure — Microsoft Learn (updated 2026-10-08): Global Standard (opens in a new tab) — fetched 2026-10-20
13. [13]Apache-2.0 (opens in a new tab) — fetched 2026-10-20
14. [14]Azure Retail Prices API — gpt-oss-120B Inp glbl Tokens / gpt-oss-120B Outp glbl Tokens, eastus2 (USD) (opens in a new tab) — fetched 2026-10-20
15. [15]Region availability for Foundry Models sold by Azure — Microsoft Learn (updated 2026-10-19): Global Standard; not in the EU Data Zone Standard table (opens in a new tab) — fetched 2026-10-20
16. [16]Microsoft Foundry model leaderboard: quality index, the mean accuracy over eight benchmarks (method: learn.microsoft.com/azure/foundry/concepts/model-benchmarks) (opens in a new tab) — fetched 2026-10-20
17. [17]Artificial Analysis Intelligence Index (the model's highest-scoring setting) (opens in a new tab) — fetched 2026-10-20
18. [18]MIT (opens in a new tab) — fetched 2026-09-28
19. [19]Azure Retail Prices API — V4 Flash Inp DZ Tokens / V4 Flash Outp DZ Tokens, swedencentral (USD) (opens in a new tab) — fetched 2026-10-18
20. [20]Azure Retail Prices API — V4 Flash Inp glbl Tokens / V4 Flash Outp glbl Tokens, swedencentral (USD) (opens in a new tab) — fetched 2026-10-18
21. [21]Apache-2.0 (opens in a new tab) — fetched 2026-09-28
22. [22]Azure Retail Prices API — Large 3 Inp Dzone Tokens / Large 3 Outp Dzone Tokens, swedencentral (USD) (opens in a new tab) — fetched 2026-10-18
23. [23]Azure Retail Prices API — Large 3 Inp glbl Tokens / Large 3 Outp glbl Tokens, swedencentral (USD) (opens in a new tab) — fetched 2026-10-18
24. [24]Mistral Medium 3.5 model card (Mistral AI, vendor-reported) (opens in a new tab) — fetched 2026-09-28
25. [25]Compare hosting options for Claude models in Microsoft Foundry — Microsoft Learn (updated 2026-09-22): hosted on Azure, Global Standard or a US Data Zone, Anthropic the data processor (opens in a new tab) — fetched 2026-10-20
26. [26]Claude pricing — Anthropic (per million tokens; Microsoft Foundry bills Claude at these list prices, a US Data Zone deployment 10% more) (opens in a new tab) — fetched 2026-10-20
27. [27]Proprietary — OpenAI's terms (via Microsoft Foundry) (opens in a new tab) — fetched 2026-09-28
28. [28]Azure Retail Prices API — 6-astra ShortCo Inp Std Gl 1M Tokens / 6-astra ShortCo Opt Std Gl 1M Tokens, eastus2 (USD) (opens in a new tab) — fetched 2026-10-20
29. [29]Azure Retail Prices API — 4.7 Inp glbl 1M Tokens / 4.7 Outp glbl 1M Tokens, eastus2 (USD) (opens in a new tab) — fetched 2026-10-20
30. [30]Azure Retail Prices API — Standard_NC40ads_H100_v5, swedencentral (USD) (opens in a new tab) — fetched 2026-09-28
31. [31]Qwen3.8-2.4T-A95B model card (Qwen) (opens in a new tab) — fetched 2026-10-20
32. [32]Qwen3.8-Max License (MIT-style) (opens in a new tab) — fetched 2026-10-20
33. [33]Azure Retail Prices API — Standard_NC24ads_A100_v4, swedencentral (USD) (opens in a new tab) — fetched 2026-09-28
34. [34]Azure Retail Prices API — Standard_ND96isr_H100_v5, swedencentral (USD) (opens in a new tab) — fetched 2026-09-28
35. [35]Azure Retail Prices API — Standard_NC24ads_A100_v4, westeurope (USD) (opens in a new tab) — fetched 2026-09-28
36. [36]Azure Retail Prices API — Standard_NC40ads_H100_v5, westeurope (USD) (opens in a new tab) — fetched 2026-09-28
37. [37]Azure Retail Prices API — Standard_ND96isr_H100_v5, westeurope (USD) (opens in a new tab) — fetched 2026-09-28
38. [38]Azure Retail Prices API — Standard_NC40ads_H100_v5, norwayeast (USD) (opens in a new tab) — fetched 2026-09-28
39. [39]Claude pricing — Anthropic (API, per million tokens) (opens in a new tab) — fetched 2026-10-18