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LLM EconomicsHow Many Tokens Is an Image? Vision Model Cost
An image is converted into tokens before the model reads it, and the count depends on the encoder and resolution. If an image becomes 1,000 tokens and input costs $2 per 1M, each image costs $0.002, so 100k images a month costs about $200.
LLM EconomicsGPT-6.1 Sol Pricing: Cost per Agent Task
GPT-6.1 Sol is priced at $2 per 1M input tokens, $0.10 per 1M cached input tokens and $10 per 1M output tokens. A 20-step coding agent task with 40k tokens of mostly cached context costs about $0.47, so 1,000 tasks a month runs roughly $470.
LLM EconomicsGemini 4 Argon Pricing: What It Costs per Task
Gemini 4 Argon is reported at $2 per 1M input tokens and $10 per 1M output tokens during its introductory period, rising later to $4 and $20, with cached input at $0.10. For a 50k-conversation support bot, that is roughly $360 a month now and about $710 later.
LLM EconomicsMoonshot AI's 300 Billion Daily Tokens: What It Signals About the Model Market
A Chinese lab targeting $2B in revenue is notable, but the more useful number for founders is the sheer token throughput reshaping provider economics.
LLM EconomicsWhat Nvidia's Vera Rubin Platform Means for Your Token Costs
Better performance-per-watt on the hardware side eventually shows up as lower token prices, but the timeline and who captures the savings first is worth understanding.
Pricing StrategyWhy Hasn't SaaS Pricing Raced to the Bottom? The Uncomfortable Answer for Founders
It's not because competition is weak, it's because price is rarely the thing customers are actually optimizing for, and founders who compete on price alone usually lose anyway.
LLM EconomicsThe Real Total Cost of an LLM Gateway: Why the License Fee Is Never the Whole Story
A vendor comparison of LiteLLM's enterprise pricing against a managed alternative shows why a $250/month license number hides most of the actual 3-year cost.
LLM EconomicsWhat Prompt Caching Actually Saves: The Token Math Behind LLM Gateways
Once caching is on, output tokens dominate your bill, so the input-token discounts everyone advertises matter less than you'd think.
Pricing StrategyIs Subscription Pricing Still Right for Your SaaS, or Should You Switch to Usage-Based?
Neither wins by default: the right model depends on whether your costs scale with usage, and for AI features, they almost always do.
LLM EconomicsDoes AI Pricing Really Need to Fall 90%? What the Token-Cost Math Actually Shows
No, prices don't need to crash 90% overnight, but the trend underneath the headline is real, and it changes how you should price any AI feature you ship this year.
LLM EconomicsIf AI Coding Is Not Winner-Take-All, Gross Margin Decides Who Survives
Cognition raised at a $48B valuation, which TechCrunch reads as investors betting that AI coding is not a winner-take-all market, and in a market with many survivors the winners are usually decided by unit economics rather than by being first.
Founder GuidesHow to Cut Agent Token Spend by 80% Without Changing Models
A practitioner reports cutting token spend on dynamic agent workflows by roughly 80% through prompt and workflow restructuring alone, which points at an uncomfortable truth: most agent spend is not on the task, it is on context you resend by default.
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