|
By Lyne Carolyne
GPT-6 Astra is OpenAI's flagship reasoning model, released September 3, 2026. It costs $10 per million input tokens and $50 per million output tokens on the standard API tier, with cached input at $1 and cache writes at $12.50. That is 2.5 times GPT-5.6 Sol's promotional rate and matches Anthropic's Fable 5.1 on both headline numbers. Batch and Flex halve those rates, Fast mode doubles them, and any prompt past 272K input tokens reprices the entire request.
|
By Lyne Carolyne
An AI cost calculator for the whole wallet adds four lanes: seats and subscriptions, API and token usage, cloud AI services, and GPU infrastructure. Average 2026 totals run $25 per employee per month at light adoption, $100 to $150 at active adoption, and $300 or more at AI-heavy companies. Getting to your number takes four lane subtotals and three corrections.
|
By Kaitlin Woo
Enterprise agent platforms need a client ID and client secret in hand before they will connect to anything. An admin with the Modify MCP Settings permission can now issue that pair directly in Settings, connect the platform, and manage the credential lifecycle on whatever schedule your security policy requires. No support request, no wait.
|
By Scott Castle
Pop quiz: If you spend $40,000 per month on Anthropic, and you’ve got two customers, what’s your cost per customer? If you bypassed the easy answer of $20,000 and said, “Scott, you old trickster, that’s not enough information to answer that question,” you’ve won today’s prize: a lesson in the perils of average costs. Let’s flesh out the situation: You put an AI feature in your product, a document assistant powered by Claude.
|
By Kevin Lamb
Changing a Kubernetes resource request takes two numbers: what the workload requests, and what it uses. The CloudZero MCP server now returns both, by cluster, namespace, or workload. This gives you a number you can defend. Usage comes back as P95 over the date range you query, 30 days by default. When an engineering lead asks whether a service runs on a smaller request, that is the figure that settles it. Over-provisioning and under-provisioning show up on the same query.
|
By Lyne Carolyne
LLM token cost is the price a provider charges per token a model reads or writes, quoted in dollars per million tokens. Input and output bill at separate rates, with output priced at roughly 5x input. As of September 2026, published rates range from under $0.10 to more than $180 per million tokens on top-end reasoning tiers. In late 2025, Hardik Sonetta of Thomson Reuters Labs published a warning about the most common prompt caching mistake in production.
|
By Lyne Carolyne
AI usage tracking means measuring who and what consumes AI across your company, by team, feature, and model, then converting the usage into spend and cost per unit of work. Provider consoles stop at totals per API key. Tracking puts names on those totals: which team, which product, which model, and whether any of it was worth the money. In May 2026, CNBC reported that “almost every Fortune 500 is tracking overall AI usage,” quoting ModelOp CTO Jim Olsen. The same reporting carried his warning.
|
By Djo Lopez
Repo rightsizing is a single-pass audit of every real model call in a codebase you already shipped: SDK invocations, sub-agent dispatch sites, and agent frontmatter pins. Each call site is scored on the job it actually does, and the result commits as one blueprint file you can diff next quarter. It replaces one-skill-at-a-time reviews, which miss files where a single model key covers two different jobs.
|
By Kevin Lamb
S3 lifecycle rules move data to Standard-IA or Glacier to cut storage cost. CloudZero now flags the buckets where that move backfires: an early delete fee is charged when an object leaves its tier before the tier’s minimum storage duration. The cause isn’t always a misconfigured lifecycle rule. A manual delete, an overwrite, or an object written straight into the tier by a replication or backup job produce the identical charge.
|
By Kaitlin Woo
Compare Periods launched with two display modes: Aligned and Overlay. The top request from customers was bringing back a true side-by-side view, the kind where two independent charts sit next to each other so you can compare the overall shape of each period. Split brings that back. But the team also added Delta, a new mode that shows the dollar difference between periods.
- September 2026 (9)
- August 2026 (46)
- July 2026 (42)
- June 2026 (35)
- May 2026 (21)
- April 2026 (31)
- March 2026 (30)
- February 2026 (23)
- January 2026 (19)
- December 2025 (28)
- November 2025 (25)
- October 2025 (29)
- September 2025 (27)
- August 2025 (25)
- July 2025 (23)
- June 2025 (18)
- May 2025 (21)
- April 2025 (22)
- March 2025 (17)
- February 2025 (18)
- January 2025 (15)
- December 2024 (17)
- November 2024 (18)
- October 2024 (14)
- September 2024 (16)
- August 2024 (17)
- July 2024 (28)
- June 2024 (18)
- May 2024 (14)
- April 2024 (15)
- March 2024 (14)
- February 2024 (13)
- January 2024 (13)
- December 2023 (9)
- November 2023 (14)
- October 2023 (10)
- September 2023 (11)
- August 2023 (10)
- July 2023 (8)
- June 2023 (5)
- May 2023 (9)
- April 2023 (8)
- March 2023 (6)
- February 2023 (11)
- January 2023 (9)
- December 2022 (6)
- November 2022 (10)
- October 2022 (9)
- September 2022 (4)
- August 2022 (7)
- July 2022 (9)
- June 2022 (8)
- May 2022 (9)
- April 2022 (8)
- March 2022 (11)
- February 2022 (6)
- January 2022 (9)
- December 2021 (5)
- November 2021 (6)
- October 2021 (7)
- September 2021 (8)
- August 2021 (3)
- July 2021 (3)
- June 2021 (2)
- May 2021 (3)
- April 2021 (5)
- March 2021 (3)
- February 2021 (5)
- January 2021 (4)
- December 2020 (7)
- November 2020 (4)
- October 2020 (4)
- September 2020 (3)
- August 2020 (4)
- July 2020 (2)
- June 2020 (1)
- May 2020 (1)
- March 2020 (3)
- February 2020 (1)
- January 2020 (5)
- November 2019 (2)
- October 2019 (1)
- September 2019 (6)
- August 2019 (2)
- July 2019 (2)
- June 2019 (4)
- May 2019 (2)
- March 2019 (1)
- December 2018 (3)
- November 2018 (4)
- October 2018 (5)
With CloudZero you get insights about your applications and systems, helping you manage operations at a scale that you’ve never had before. Our platform provides you with insights about every piece of your system, including the real cost of resources, resource utilization, reserved capacity and cost center efficiency.
With the accurate and trusted data provided by CloudZero you can minimize or eliminate under utilized resources, visualize costs for easy comprehension and oversee the entire software lifecycle. Nothing is out of view when using CloudZero’s Observability platform. From regional views to individual resources, you have insights at every level to help you keep your systems running smoothly.
How do we do it?
- Collect and Normalize: CloudZero’s platform starts by collecting the data from your CloudWatch, CloudTrail, VPC Flowlogs, Lambda Data Events and Billing Data from every AWS account you connect. This part of the platform is isolated in its own account for security and has read-only access to the accounts you connect.
- Populate the Stream: All of the data collected is normalized and the events, resources, statistics and billing data are organized into data streams which allow our platform to perform real-time analytics on all the data collected.
- Find Meaning: Our algorithms take in the normalized data and perform complex analytics sifting through all the data to filter noise and enhance signal. We use Machine Learning on a large scale to learn what is valuable to surface.
- Visualize Everything: The application provides opinionated visualizations of the insights determined by the platform’s AI. From regional system maps to single resources to cost of service broken down by team, CloudZero’s platform provides true observability to everyone in your organization.
Observability for Everyone. Add cost as a first-class metric and understand the financial effect of operational decisions.