| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Cloud cost management | Cloud and infrastructure | 5% | 5 of 76 | 27% | 30 | criticized challenger | =heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| IT financial management | IT operations and endpoint | 4% | 8 of 159 | 14% | 7 | under 10 labels · led by Nicus ITFM Platform at 9% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| IT financial mgmt | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 8 of 159, unchanged |
| FinOps | 4% | 4% | =heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 5 of 76 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 2 | 4 |
| GPT-5.4 mini | 2 | 0 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 1 | 1 | 0 | 1 | 3 |
| Mistral Small | 0 | 0 | 2 | 1 | 3 |
| DeepSeek V4 Flash | 1 | 2 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 3 | 1 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 2 | 2 | 1 | 5 |
| GPT-6 Luna | 2 | 0 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 1 | 0 | 1 | 2 |
Verbatim evidence the judge attached to positive labels.
“start with your cloud provider's built-in cost tools... AWS Cost Explorer, Microsoft Cost Management, or Google Cloud Cost Management” GPT-6 Luna · FinOps · budget prompt · first choice
“Under $50K/month: Start with native tools (AWS Cost Explorer, Azure Cost Management) — free and immediate” Claude Haiku 4.5 · FinOps · budget prompt · first choice
“starting with your cloud provider\u2019s native tools (AWS Cost Explorer, Azure Cost Management)” DeepSeek V4 Flash · FinOps · negative prompt · first choice
“Completely free if you're already using Azure/AWS... ideal for SMBs focused on cloud optimization” Grok 4.20 · IT financial mgmt · budget prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Approaches to Avoid ... native cloud tools (AWS Cost Explorer, Azure Cost Management, Google Cloud FinOps)” Claude Haiku 4.5 · IT financial mgmt · negative prompt · hard negative
“work well for single-cloud environments at small scale but require perfect tagging discipline and lack multi-cloud or Kubernetes cluster visibility” Muse Glimmer 30B · FinOps · negative prompt · soft negative
“the overall experience can be inconsistent, and the tool may not provide the depth of analysis required for complex environments” Mistral Small · FinOps · negative prompt · soft negative
“stick to native tools (AWS Cost Explorer/Azure Cost Management)... native tools cannot provide a unified view” Qwen 3.7 Flash · FinOps · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 86 of the 94 answers that named Microsoft Cost Management and are not a share of its labels.
309 of the 309 domain citations in answers naming Microsoft Cost Management came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Microsoft Cost Management's own pages state, read September 28, 2026: microsoft.com/en-us/isv/resources/articles/cloud-cost-optimization-management-strategies. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Microsoft Cost Management's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Microsoft Cost Management, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Microsoft Cost Management by email, built from the raw record of the edition. It shows: