Same frontier, priced. The gray dotted line is what the same script costs us to produce with humans (~$480 (and more in fact)): Quality exploded, frontier prices did not! GPT-5.6 took the OpenAI lead while cutting the price 2.5x vs its predecessor. The cheapest frontier seat is
ECONOMY
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Perplexity Reports Lower Sandbox Costs With SPACE
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The cost advantages are incredible, especially at the scale we operate in. Compared to Vercel, SPACE is 5x cheaper, leading to savings of tens of millions of dollars a year.
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Changing the Agent Harness Reduced Cost With the Model Fixed
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Your agents are made of models + harnesses. So is your bill. @Get_Writer
's "Harness Effect" study held models fixed, swapped only the harness: cost per task dropped 41%, quality at parity. The lesson: orchestration, not just model choice, sets the bill. We saw that with -
Comparing Sol and Fable on Capability and Price-Performance
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hmmmm…. dont know if i agree. we all knew from the very beginning that Sol wouldnt outperform Fable. Its more the price-perfomance-ratio thats the real feature
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Daily Codex Use Highlights GPT-5.6’s Price-Performance Tradeoff
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OpenAI is leaving no stone unturned in its efforts to show Anthropic why they're here to stay and why they're confident they can win the competition. But I'll join in: I use Codex daily because its price-performance ratio is outstanding. With version 5.6, there was a temporary
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Grok 4.5 Offers Lower-Cost Writing in a Model Comparison
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Fun fact, Grok 4.5 is actually the best value model for writing from this, even if nowhere near the top recent models. A pretty solid option for "good writing" at scale, versus Fable that can be almost 80x more expensive.
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Interpreting OpenAI’s Reported AI Product User Growth
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i understand but 1) chatgpt user base is surely more than 10m, give them some credit on reporting integrity, 2) even on a like for like basis, same usergroup did grow from 6m to 7m in one day. data is messy, we should at least note headlines on what they do at face value unless
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AI Agents Struggle to Estimate Their Own Token Budgets
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they are equally bad at estimating their own token cost, ask any agent to budget itself and it will happily plan 40 steps haha.
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Meta Launches Muse Spark 1.1 With Lower API Pricing
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4/ Muse Spark 1.1 Meta shipped its first paid model API and priced Muse Spark 1.1 at $1.25 input and $4.25 output per million tokens, around a quarter of flagship rates. Zuckerberg posted on X for the first time in three years to launch it. It leads tool use benchmarks like MCP
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GPT-5.6 Adds Tiered Pricing and Parallel Subagents
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1/ GPT-5.6 (Sol, Terra, Luna) OpenAI split the generation into three tiers priced $5/$30, $2.50/$15, and $1/$6. Sol sets a new high on Agents' Last Exam at 53.6, and its ultra mode coordinates parallel subagents inside a single call. One catch worth knowing. METR logged its