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Ai Pricing

All articles tagged with #ai pricing

technology11 days ago•1 min saved

DeepSeek Doubles AI API Prices with Peak/Off-Peak Tiers

DeepSeek is raising the price of its AI API with the launch of V4 Pro and V4 Flash, introducing peak and off-peak pricing starting Aug. 16: V4 Pro at $3.96 per 1M tokens at peak and $1.98 off-peak; V4 Flash at $1.32 peak and $0.66 off-peak. The hikes follow earlier promotional pricing, intended to allocate resources more reasonably, but DeepSeek remains cheaper than many rivals (Moonshot K3 at $15/1M; GPT-5.6 Sol at $30), though its Luna offering at $1.20/1M is even cheaper than V4 Flash at peak.

via Engadget|

#ai-pricing #deepseek #peak-off-peak-pricing

technology22 days ago•3 min saved

DeepSeek’s V4 Flash slashes coding costs and accelerates AI’s price race

DeepSeek released V4 Flash, a powerful coding model that charges pennies per output—about 28 cents versus roughly $25 for OpenAI’s Opus 4.8—marking a rapid commoditization of AI models as a price war spreads among frontier labs and big tech. As models become cheaper and more capable, buyers will prioritize cost and efficiency over brand, potentially weakening pricing power for top labs and boosting the case for automated “intelligent routers” that pick the best model for each task. OpenAI says massive usage can sustain profitability despite thinner margins, while the broader trend shows both the US and China pushing for abundant AI, with profitability still to be proven.

via Axios|

#ai-pricing #deepseek #frontier-ai

technology25 days ago•4 min saved

OpenAI slashes prices on GPT‑5.6 models to boost value and adoption

OpenAI announced major price cuts for its GPT‑5.6 Luna and Terra models (plus a faster Sol mode), trimming Luna by 80% to $0.20 per million input tokens and $1.20 per million output tokens and reducing Terra by 20% to $2 per million input and $12 per million output, with Sol offering up to 2.5x speed for roughly double the price. The company says efficiency gains in models, inference, and routing drive the cuts, and the changes also apply to Codex and ChatGPT Work usage. Analysts view the move as part of intensifying frontier‑AI price competition and a shift toward more flexible pricing, signaling broader industry pressure and potential IPO considerations for OpenAI.

via Business Insider|

#ai-pricing #gpt-56-luna #openai

technology26 days ago•3 min saved

OpenAI slashes Terra and Luna prices to win over cost-conscious customers

OpenAI cut prices for its GPT-5.6 trio’s Terra and Luna models—Terra down 20% to $2 per million input tokens and $12 per million output tokens, Luna down 80% to $0.20 input and $1.20 output tokens—while Sol’s pricing stays the same. The move comes as the company faces cost pressures and fierce competition from Chinese startups and rivals like Anthropic, Google, and Microsoft, and aims to spur adoption of newer, more cost-efficient AI models.

via CNBC|

#ai-pricing #gpt-56 #luna

business27 days ago•17 min saved

Meta posts a Q2 revenue beat but EPS miss shakes investors as data-center bets rise

Meta reported Q2 EPS of $6.18 on $60.8 billion in revenue (missed expectations of $7.14 EPS on $60.2B), and guided Q3 revenue to about $63.1 billion mid-point. Advertising revenue came in at $59.3 billion, just above estimates. The company raised its 2026 capital expenditure guidance to about $135–$145 billion and signaled spending of over $145 billion this year mainly for data-center expansion. In parallel, Meta and BlackRock unveiled a $14 billion, 1 GW Texas data-center project (BlackRock 80%, Meta 20%), with potential capacity leasing as a monetization path. Meta also introduced Muse Image, its proprietary image-generation model, and launched Spark 1.1 with aggressive pricing ($1.25 per million input tokens, $4.25 per million output tokens) to compete with OpenAI and Anthropic. The stock slid roughly 8% after the results.

via Yahoo Finance|

#ai-pricing #business #data-center

technology1 month ago•2 min saved

Google rolls out a trio of cheaper Gemini AI 'flash' models for enterprise use

Google unveiled three cheaper Gemini AI 'flash' models—Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber—aimed at cost-efficient enterprise workloads: 3.6 cuts output tokens by up to 17% with better coding/reasoning and multimodal abilities; Flash-Lite targets high-volume automation and document processing; Flash Cyber focuses on security and patching, available to governments and partners via the CodeMender platform. 3.5 Pro remains in testing and Gemini 4 is in pre-training, underscoring Google’s portfolio approach to AI pricing and workloads.

via Axios|

#ai-pricing #codemender #enterprise-ai

technology1 month ago•4 min saved

Meta dives into AI coding race with Muse Spark 1.1 and aggressive pricing

Meta rolled out Muse Spark 1.1, its best-performing model for agentic and coding tasks, with a public developer API after a private preview and pricing designed to attract high usage: $20 in free credits, then $1.25 per million input tokens and $4.25 per million output tokens. The move aims to competing with OpenAI and Anthropic, with initial API access limited to Meta properties while scaling, and Meta says a Muse Spark variant will remain open source even as it develops a more powerful model codenamed Watermelon; Muse Spark’s development follows Muse Image and signals a broader shift from open-source Llama toward paid access to proprietary AI models.

via CNBC|

#ai-pricing #anthropic #meta

policy1 month ago•4 min saved

New Jersey Moves to End Personalized Grocery Pricing with New Law

New Jersey approved the bipartisan Fair Price Protection Act to ban AI/algorithm-driven and surveillance-based pricing in grocery stores and to pause electronic shelf labels for at least a year, awaiting Governor Sherrill’s signature. The bill includes exemptions for loyalty programs and certain discounts and mirrors similar moves in Maryland and Connecticut, as lawmakers argue it protects consumers amid rising grocery costs while opponents worry about regulatory consequences and job impact.

via Gizmodo|

#ai-pricing #electronic-shelf-labels #fair-price-protection-act

business2 months ago•13 min saved

OpenAI Signals Price Cuts in AI War With Anthropic

OpenAI is reportedly weighing price reductions for developers and enterprises to counter Anthropic’s expected cuts as both rush toward IPOs and operate without profits. The move comes amid pressure from a negative Q1 operating margin and a shift toward metered API pricing, while Anthropic’s Claude Code drives a rapid revenue rise and open‑source rivals push the pricing floor lower.

via Yahoo Finance|

#ai-pricing #anthropic #business

technology2 months ago•9 min saved

Cheaper AI Tokens Loom as Blackwell GPUs Boost Efficiency

Business Insider argues that AI model tokens could become dramatically cheaper this year thanks to Nvidia’s Blackwell GPUs, which massively increase token generation efficiency. OpenAI has signaled cost-cutting measures, and a token-spending index has fallen, suggesting prices across AI models are likely to drop as cheaper, more abundant tokens become the norm.

via Business Insider|

#ai-pricing #artificial-intelligence #data-centers

technology3 months ago•3 min saved

Gemini’s Cheaper AI Could Propel Alphabet’s Stock Rally

Alphabet’s Gemini 3.5 Flash aims to deliver frontier-level AI at under half the price, with enterprises potentially saving about $1 billion annually by migrating 80% of workloads from Claude and ChatGPT. Gemini’s market presence is growing (about 27% of AI web traffic, 900 million monthly users), new pricing cuts (Ultra plan to $200/month) and the Gemini Spark 24/7 cloud capability bolster adoption. OpenAI’s dominance is waning while Google Cloud revenue rose 63% to $20 billion, and Alphabet posted strong earnings growth with ample cash, supporting a compelling AI-driven growth narrative and a roughly 30x earnings multiple. The article views these factors as making Alphabet a buy, though not based on AI alone.

via The Motley Fool|

#ai-pricing #alphabet #enterprise-ai

technology3 months ago•6 min saved

Google overhauls Gemini pricing with cheaper Ultra tiers and new features

Google has retooled its Gemini AI lineup with lower prices and new capabilities: the AI Ultra plan now costs $200/month (down from $250) and a new developer-focused Ultra tier at $100/month with higher usage, 20TB storage, and access to Gemini 3.5 Flash and Antigravity; Omni for video, Gemini Spark, and Project Genie roll out across Plus, Pro, and Ultra; Plus and Pro remain at $8 and $20/month, with discounts and monthly plan-switching; a compute-based usage model governs limits, refreshed every five hours, with optional AI credits to keep using advanced models; YouTube Premium Lite is included for Pro and Ultra in many regions and Gmail AI inbox plus Daily Brief expand to more plans.

via ZDNET|

#ai-pricing #gemini #google

technology3 months ago•6 min saved

The $20 AI Plan Is Over: Pricing War Shifts to Usage-Based Models

PCWorld argues that flat-rate AI subscriptions (such as $20/month) are becoming financially unsustainable as providers pivot to usage-based pricing; GitHub Copilot has already moved away from flat fees, Anthropic is trimming Claude Pro/Max features and adjusting allowances, and OpenAI’s ChatGPT Plus/Pro are expected to follow. The result is a coming price reality where powerful AI agents may cost hundreds per month for individuals and enterprises, rather than a cheap, all-in-one subscription.

via PCWorld|

#ai-pricing #chatgpt-plus #claude-pro

technology4 months ago•75 min saved

The AI price split: why the middle market is disappearing

OpenAI’s GPT-5.5 pricing (about $5 input, $30 output per million tokens) and DeepSeek’s open-weight V4-Pro/Flash offerings have created a two-cluster AI market, widening the cost gap between a closed, vendor-managed product and cheaper, open infrastructure. The once-smooth price-performance curve now shows a thinning middle, forcing developers to route workloads across the high-end integrated stack and the lower-cost open-weight stack, and reshaping how AI agents and coding assistants are built and deployed.

via The New Stack|

#ai-pricing #coding-agents #deepseek

business8 months ago•2 min saved

Instacart halts AI pricing tests amid FTC investigation

Instacart has ceased using AI to experiment with variable pricing for the same items after reports revealed customers were paying different prices for identical products, with some experiencing up to 23% higher costs. The company acknowledged the issue and stated that shoppers will now see consistent prices for the same items within the same store, although prices may still vary across different stores. The pricing experiments, part of a revenue-maximization strategy involving AI, were criticized for potentially costing consumers up to $1,200 annually, leading Instacart to halt the practice.

via Los Angeles Times|

#ai-pricing #business #consumer-report