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AI prices and costs: all our articles
All 43 Alyriaz articles on the “AI prices and costs” topic: news, analysis and explainers, newest first. To stay up to date, you can get an alert as soon as a new article on this topic is published.

Tech giants put their engineers on an AI diet
Microsoft cuts its engineers' AI budget tenfold, Meta and Uber tighten the purse strings too. After the euphoria, companies are discovering the bill.
Claude Haiku 5.5: ten times cheaper than its predecessor
Anthropic launches Claude Haiku 5.5, ten times cheaper than Haiku 4.5 for most requests, at the price of GPT-6 Luna. What it is really worth.
Free Gemini: what changes on October 9
From October 9, free Gemini only gets Flash-Lite, Google's smallest model. What changes, for whom, and whether it is worth paying.
Claude Sonnet 5.5: nearly Opus, at half the price
Across 44 professions, Claude Sonnet 5.5 nearly matches Opus 5.5 at half the price. What it changes for you, and where the top model keeps its edge.
The week AI prices melted
Prices halved, AI bosses at the UN, incident at Google: if you haven't followed anything this week, here's the essentials in five minutes.
The model rankings as of 23 September 2026
State of the model landscape as of 23 September 2026: who leads on what, at what price, and how to read leaderboards that have become hard to compare.
GPT-6 Sol and Luna: prices halved, the same evening as Opus 5.5
OpenAI has released GPT-6 Sol and Luna with prices halved, just hours after Claude Opus 5.5. We analyse the figures, the tests where the new model regresses, and what this convergence means.
Opus 5.5: what actually changes compared with the previous one
Beyond benchmarks, we detail what Opus 5.5 does differently from Opus 5 in practice: speed, token consumption, endurance on long tasks, and the shape of its answers.
Claude Opus 5.5: flagship-level performance for 60% less
Anthropic has released Claude Opus 5.5, claimed to be on a par with Fable 5.1 at a far lower cost. We analyse the figures, the comparison with GPT-6 Astra, and the tension with the call for a slowdown.
How a model can process text, sound and images at the same time
An omnimodal model handles several types of input within a single architecture. We explain the mechanism that makes this possible and what it implies.
Six hundred billion parameters at a dollar per million tokens
StepFun has launched Step 5 Preview, a 600-billion-parameter model with a one-million-token context window, priced at 1 dollar for input. We put that rate into context within the current landscape.
GLM-5.3-Flash runs on 100,000 Chinese accelerators, at a comparable cost
Z.ai has announced that its flagship open model is deployed on more than 100,000 Chinese accelerators, with throughput tripled in two weeks. We analyse what this claim implies if it is confirmed.
It starts today: weekly quotas come into force
The weekly usage limits announced for an agentic coding tool take effect today. We explain the mechanism and what to check.
One image, how many tokens? Why we bill photos by the word
Image models are billed in tokens, the same unit as text. We explain how an image is split into tokens, why editing costs double, and how to reduce your bill.
What model size for which use case?
Most tasks don't require the most powerful model. We explain which size suits which use case, and why choosing too large costs more without adding anything.
All the September deadlines: what changes, and when
Several pricing changes and service closures take effect in September 2026. Here's a round-up of the confirmed dates, what they involve, and what you need to check beforehand.
Transcription drops to ten cents an hour
Microsoft has released a speech recognition model at $0.10 per hour of audio, down 72% in five months, covering sixty languages. We analyse what this collapse in costs makes possible.
Three providers restructure their usage limits within two weeks
In two weeks, three major providers have changed the structure of their usage limits. We explain these mechanisms, why they are multiplying, and how to measure what you are actually paying.
What is a model's "effort level"? The setting that changes everything and that nobody looks at
Recent models offer a reasoning-effort setting that profoundly changes their outputs and cost. Here’s what this parameter does, why comparisons depend on it, and how to tune it.
Build or buy your AI tool: the decision framework
Agentic coding tools make internal development more accessible. Here is a practical decision framework for choosing between building and buying an AI tool.
Other topics in “Themes”
- AI agents77 articles
- Code and developers22 articles
- Images and video20 articles
- Voice and music15 articles
- Robots and self-driving cars9 articles
- Health15 articles
- School and education16 articles
- Jobs and work34 articles
- Laws and regulation59 articles
- Cybersecurity32 articles
- Safety and risks51 articles
- Privacy and data45 articles
- Disinformation and deepfakes34 articles
- Energy and climate15 articles
- Chips and data centers40 articles
- Research and science43 articles
- Money and markets53 articles
- Geopolitics and sovereignty58 articles
- Open source and local AI44 articles
- Culture and creativity42 articles
- Everyday life32 articles
- Philosophy and ethics97 articles
- Understanding AI122 articles
- Benchmarks and comparisons30 articles