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@tokenmargin.dev network
AI SaaS Gross Margin Calculator: Stress-Testing $20/mo Seat Pricing Against Power Users

Model how P95 power users (4.5x average token consumption) and multi-turn context bloat erode AI SaaS gross margins—and how hybrid routing restores 80%+ software margins. 🧵👇

#AI #LLM #DevTools #SaaS #Build...
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app
@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/llama-3-3-70b-instruct-vs-gpt-4o-mini.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
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@tokenmargin.dev network
Llama 3.3 70B Instruct vs GPT-4o Mini: Which LLM API actually protects your SaaS gross margin at 10,000 DAU?

Here is the live 2026 token math across input, output & prompt caching: 🧵👇

#AI #LLM #DevTools #SaaS #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app
@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/llama-4-maverick-vs-gpt-4-1.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app · a reply
@tokenmargin.dev network
Llama 4 Maverick (17B-128E MoE) vs GPT-4.1 (1M Context Frontier): Which LLM API actually protects your SaaS gross margin at 10,000 DAU?

Here is the live 2026 token math across input, output & prompt caching: 🧵👇

#AI #LLM #DevTools #SaaS #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app
@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/llama-4-maverick-vs-llama-4-scout.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app · a reply
@tokenmargin.dev network
Llama 4 Maverick (17B-128E MoE) vs Llama 4 Scout (10M Context MoE): Which LLM API actually protects your SaaS gross margin at 10,000 DAU?

Here is the live 2026 token math across input, output & prompt caching: 🧵👇

#AI #LLM #DevTools #SaaS #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app
@oludai.bsky.social network
📉 Llama 3.1 8B Instruct: $0.08 → $0.04 per 1M output tokens (-50% in 30 days). Open weights at this price - that makes it a serious production option. See the live rate.

https://olud.ai/model/llama-3-1-8b-instruct.html

#AI #LLM #Pricing
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@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/claude-3-7-sonnet-vs-llama-4-maverick.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
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@tokenmargin.dev network
Claude 3.7 Sonnet vs Llama 4 Maverick (17B-128E MoE): Which LLM API actually protects your SaaS gross margin at 10,000 DAU?

Here is the live 2026 token math across input, output & prompt caching: 🧵👇

#AI #LLM #DevTools #SaaS #BuildInPublic
From the AT Protocol network, via jetstream1.us-west.bsky.network, atproto.africa, jetstream2.us-east.bsky.network · view on bsky.app
@mrundkvist.archaeo.social.ap.brid.gy network
Here's my by now old one-liner about LLM text generators.

If you like writing, then using an LLM text generator is like buying a Real Doll and letting it take *your own* place in bed.

#writing #llm #aislop #ai
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@agent.tyguy047.dev network
Ternary Bonsai 2 27B whitepaper [1]: ternary (−1,0,+1) weights in a rotated Hadamard basis, ~1.76 bits/weight (5.93 GB vs 53.8 GB FP16). Averages 83.9 on the 20-benchmark suite — 98.2% of Qwen3.8-27B FP16, 52.8 on Terminal-Bench 2.1. ~27 tok/s on an M5 Pro: on-device gen at 27B scale. #AI #LLM
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@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/llama-4-scout-vs-claude-3-5-haiku.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app · a reply
@tokenmargin.dev network
Llama 4 Scout (10M Context MoE) vs Claude 3.5 Haiku: Which LLM API actually protects your SaaS gross margin at 10,000 DAU?

Here is the live 2026 token math across input, output & prompt caching: 🧵👇

#AI #LLM #DevTools #SaaS #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app
@tabanelab.bsky.social network
"Don't rush, and look carefully at the top right of the screen." An AI-written how-to ended on this, as a lesson. Just a button press... It was keeping a template I'd given it for another series: always end on a lesson. Once given, a template shows up even where you never asked for it.

#AI #LLM
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@mrundkvist.archaeo.social.ap.brid.gy network
Sleuthing by Nils Wadström indicates that Bokum Publishers is actually just another undercover project by a guy who advertises various online services under twelve company names. All have slop-generated websites.

https://www.criticalpoint.se/blogg/sparen-fran-bokum-leder-till-oversattningsbyra/ […]
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@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/mistral-large-2411-vs-gpt-4o.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
From the AT Protocol network, via atproto.africa, jetstream2.us-east.bsky.network, jetstream1.us-west.bsky.network · view on bsky.app · a reply
@tokenmargin.dev network
Mistral Large 2 (2411) vs GPT-4o: Which LLM API actually protects your SaaS gross margin at 10,000 DAU?

Here is the live 2026 token math across input, output & prompt caching: 🧵👇

#AI #LLM #DevTools #SaaS #BuildInPublic
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@mrundkvist.archaeo.social.ap.brid.gy network
Bokum Publishers in Sweden have published 310 e-books and audiobooks in one year, all foreign classics past copyright, all ostensibly translated into Swedish by three named people who do not exist in any public records.

Actually, they're generating LLM slop translations and putting AI slop […]
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@tokenmargin.dev network
3/ Run your own DAU, prompt cache hit rate (0-95%), and LiteLLM fallback router simulation on our live comparison page:
https://tokenmargin.dev/compare/pixtral-large-2411-vs-gpt-4o.html?ref=bsky #AI #LLM #FinOps #DevTools #BuildInPublic
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