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On sample workloads: Opus 4.8 -> Kimi 2.7 Code | 82% savings GPT 5.5 -> GLM 5.2 | 77% savings Gemini 3.5 Flash -> Nemotron 3 Ultra | 67% savings Run the numbers for your yourself:

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Philip Kiely

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1,823,552 просмотров • 1 месяц назад •via X (Twitter)

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Are AI agents shape rotators? In this new benchmark, we let the models play campaign puzzles in Opus Magnum, a puzzle game by Zachtronics. Ironically, Claude Opus 4.8 performed poorly, being beaten by GPT-5.5, Gemini 3.5 Flash, and GLM 5.2. Claude Fable 5 crushed them all.
1:28

Are AI agents shape rotators? In this new benchmark, we let the models play campaign puzzles in Opus Magnum, a puzzle game by Zachtronics. Ironically, Claude Opus 4.8 performed poorly, being beaten by GPT-5.5, Gemini 3.5 Flash, and GLM 5.2. Claude Fable 5 crushed them all.

Rob Haisfield

496,618 просмотров • 1 месяц назад

do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers give 1/5 cached discount for GLM-5.2 we at Fireworks AI dropped it to 1/10, matching GPT/Claude that's -40% typical savings, have fun!
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do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers give 1/5 cached discount for GLM-5.2 we at Fireworks AI dropped it to 1/10, matching GPT/Claude that's -40% typical savings, have fun!

Dmytro Dzhulgakov

13,371 просмотров • 19 дней назад

1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5 We gave 3 models the same prompt and compared one-shot outputs. The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra with 256GB RAM at ~21.6 tok/s. Which output do you like best? GGUF:
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1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5 We gave 3 models the same prompt and compared one-shot outputs. The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra with 256GB RAM at ~21.6 tok/s. Which output do you like best? GGUF:

Unsloth AI

1,536,441 просмотров • 26 дней назад

Opus 4.8 vs GLM 5.2 everyone is praising Glm on my timeline, so i had to test it myself > both models were given the same prompt > GLM was super fast and used like 2% of my weekly limit > Opus took over 20 mins and used like 3% of weekly limits which one do you think won?
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Opus 4.8 vs GLM 5.2 everyone is praising Glm on my timeline, so i had to test it myself > both models were given the same prompt > GLM was super fast and used like 2% of my weekly limit > Opus took over 20 mins and used like 3% of weekly limits which one do you think won?

J A Z I I

47,962 просмотров • 1 месяц назад

Grok should be praised a lot , this is one of the biggest launch > priced way less than even kimi k2.7 , glm 5.2 > on artificial code analysis only behind fable 5 and gpt 5.5 xhigh > this is well rounded launch i will showcase a 3d test that will blow everyone mind
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Grok should be praised a lot , this is one of the biggest launch > priced way less than even kimi k2.7 , glm 5.2 > on artificial code analysis only behind fable 5 and gpt 5.5 xhigh > this is well rounded launch i will showcase a 3d test that will blow everyone mind

Chetaslua

25,644 просмотров • 10 дней назад

Want to vibe code games for iOS easily? Steal this workflow. > Love2D engine > 2 agent skills > Write once; works everywhere (mac + simulator + device) > No need to open Xcode I used Claude Code Kimi K2.5, but works with Opus 4.5 / GPT 5.2, etc. FULL step-by-step video 👇
22:46

Want to vibe code games for iOS easily? Steal this workflow. > Love2D engine > 2 agent skills > Write once; works everywhere (mac + simulator + device) > No need to open Xcode I used Claude Code Kimi K2.5, but works with Opus 4.5 / GPT 5.2, etc. FULL step-by-step video 👇

Chong-U

16,929 просмотров • 5 месяцев назад

FREE Claude Opus 4.8. FREE GPT 5.5. All free. 7,200 credits. I tested it myself - works. The platform is Gumloop(.)com. Chat interface plus connections into different services. Company raised $50M Here's the exact setup: → Register via Google OAuth or Microsoft OAuth → During onboarding, answer the questions and select every option you can → When asked to connect services, pick Apify, Semrush, and Reducto - no login needed for any of them → Skip the Slack connection → Done correctly, you land 7,200 credits minimum Models inside: Opus 4.6 through 4.8, GPT 5.3 Codex, GPT 5.4, GPT 5.5, Gemini 3 Flash, Gemini 3.1 Pro, Gemini 3.5 Flash, DeepSeek V4 Flash and Pro, Kimi K2.6. No card needed anywhere in this flow. I ran through it myself - fully working. Bookmark this before it gets patched.
0:33

FREE Claude Opus 4.8. FREE GPT 5.5. All free. 7,200 credits. I tested it myself - works. The platform is Gumloop(.)com. Chat interface plus connections into different services. Company raised $50M Here's the exact setup: → Register via Google OAuth or Microsoft OAuth → During onboarding, answer the questions and select every option you can → When asked to connect services, pick Apify, Semrush, and Reducto - no login needed for any of them → Skip the Slack connection → Done correctly, you land 7,200 credits minimum Models inside: Opus 4.6 through 4.8, GPT 5.3 Codex, GPT 5.4, GPT 5.5, Gemini 3 Flash, Gemini 3.1 Pro, Gemini 3.5 Flash, DeepSeek V4 Flash and Pro, Kimi K2.6. No card needed anywhere in this flow. I ran through it myself - fully working. Bookmark this before it gets patched.

Atenov int.

22,779 просмотров • 1 месяц назад

#1 Affiliate Marketing Playbook in 2026 > Open Claude Code > Explore viral videos via YouTube Data API > Gemini analyzes them for patterns > Find top Amazon affiliate offers > Create ads on Higgsfield Ad Reference via MCP > Promote with YouTube Shopping > Run 3 times weekly
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#1 Affiliate Marketing Playbook in 2026 > Open Claude Code > Explore viral videos via YouTube Data API > Gemini analyzes them for patterns > Find top Amazon affiliate offers > Create ads on Higgsfield Ad Reference via MCP > Promote with YouTube Shopping > Run 3 times weekly

Higgsfield AI 🧩

221,130 просмотров • 2 месяцев назад

Thanks for the mention TBPN! We're working on making this run at >40 tok/sec on 2 Mac Studios (the full, unquantized Kimi K2.5). I'm already running Kimi K2.5 myself locally with Claude Code and it's impressive - very close to Opus level.
0:21

Thanks for the mention TBPN! We're working on making this run at >40 tok/sec on 2 Mac Studios (the full, unquantized Kimi K2.5). I'm already running Kimi K2.5 myself locally with Claude Code and it's impressive - very close to Opus level.

Alex Cheema

40,471 просмотров • 5 месяцев назад

Free Opus 4.8, GPT 5.5, and Gemini 3.1 Pro. 50 credits, no card. The platform behind it is valued at $4 billion. Most people are burning API credits testing prompts across three different subscriptions. Opus for one thing, GPT for another, Gemini when the other two fail. > ClickUp just made that unnecessary. Sign up with Google or a corporate email. 50 credits land immediately. 1 message costs 1 credit - that's 50 real conversations with Opus 4.8 before you spend a dollar. Models available: Opus 4.8, GPT 5.5, Gemini 3.1 Pro, Gemini 3.5 Flash. Custom MCP support if you want your own tools wired in. This isn't a startup burning VC money on a growth hack. ClickUp was valued at $4 billion in 2021, raised $535M, and runs ~100,000 paying clients - McDonald's, Booking, Netflix, Papa Johns. The AI pivot landed in November 2025. Same infrastructure, same userbase, new models bolted on top. → Go to app(.)clickup(.)com → Sign up with Google → 50 credits land automatically → Pick your model and start Bookmark this before the free tier gets capped.
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Free Opus 4.8, GPT 5.5, and Gemini 3.1 Pro. 50 credits, no card. The platform behind it is valued at $4 billion. Most people are burning API credits testing prompts across three different subscriptions. Opus for one thing, GPT for another, Gemini when the other two fail. > ClickUp just made that unnecessary. Sign up with Google or a corporate email. 50 credits land immediately. 1 message costs 1 credit - that's 50 real conversations with Opus 4.8 before you spend a dollar. Models available: Opus 4.8, GPT 5.5, Gemini 3.1 Pro, Gemini 3.5 Flash. Custom MCP support if you want your own tools wired in. This isn't a startup burning VC money on a growth hack. ClickUp was valued at $4 billion in 2021, raised $535M, and runs ~100,000 paying clients - McDonald's, Booking, Netflix, Papa Johns. The AI pivot landed in November 2025. Same infrastructure, same userbase, new models bolted on top. → Go to app(.)clickup(.)com → Sign up with Google → 50 credits land automatically → Pick your model and start Bookmark this before the free tier gets capped.

Atenov int.

10,775 просмотров • 16 дней назад

I sat down with Logan Kilpatrick for an honest technical breakdown of the Google I/O updates. 🎙️ We pushed on: • Gemini 3.5 Flash pricing • Gemini CLI deprecation • Benchmark gaps vs Opus & GPT-5.5 Huge thanks to Logan and the DeepMind team for leaning into the tough community feedback and giving us real engineering clarity.
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I sat down with Logan Kilpatrick for an honest technical breakdown of the Google I/O updates. 🎙️ We pushed on: • Gemini 3.5 Flash pricing • Gemini CLI deprecation • Benchmark gaps vs Opus & GPT-5.5 Huge thanks to Logan and the DeepMind team for leaning into the tough community feedback and giving us real engineering clarity.

Khushboo Verma

81,649 просмотров • 1 месяц назад

I can't believe this works, but I got DeepSeek-V4-Flash (284B params) running on a Raspberry Pi 5 (8GB edition) at >1tok/s @ ~8W during full-tilt inference! It uses an untouched copy of antirez's GGUF. Took 160+ experiments over 5 days between GPT-5.5 xhigh and Opus 4.8 max.
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I can't believe this works, but I got DeepSeek-V4-Flash (284B params) running on a Raspberry Pi 5 (8GB edition) at >1tok/s @ ~8W during full-tilt inference! It uses an untouched copy of antirez's GGUF. Took 160+ experiments over 5 days between GPT-5.5 xhigh and Opus 4.8 max.

Dan Woods

184,322 просмотров • 1 месяц назад

🚨 Multi-Agent - Lite Agent Swarms - Optimize Cost On Large Agentic Loops After a lot of experimentation we have open-source AI agent swarms live!! - Opus 4.8 and GPT 5.5 do the planning - Deepseek flash and Gemma do the work - Perfect for multiple parallel tasks - 10x cheaper than Opus 4.8 - 2x faster and comparable performance Try prompts like - fix all known bugs in my repo, code review the last 10 PRs etc.
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🚨 Multi-Agent - Lite Agent Swarms - Optimize Cost On Large Agentic Loops After a lot of experimentation we have open-source AI agent swarms live!! - Opus 4.8 and GPT 5.5 do the planning - Deepseek flash and Gemma do the work - Perfect for multiple parallel tasks - 10x cheaper than Opus 4.8 - 2x faster and comparable performance Try prompts like - fix all known bugs in my repo, code review the last 10 PRs etc.

Bindu Reddy

20,175,002 просмотров • 1 месяц назад

I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).
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I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

Hassan

20,164 просмотров • 24 дней назад

I couldn't believe the results of this benchmarking test. I blind-tested 6 frontier models — Sonnet 5, Opus 4.8, Fable 5, GPT 5.5, GLM 5.2, and Kimi 2.5 — on knowledge work, not engineering. Writing. Analysis. Design. Vibe coding. Subagent simulations. The stuff we actually do all day. Same prompts, each model running its own subagent, every output graded blind before the labels were revealed. The results: → GLM 5.2 (the dirt-cheap open-source model from China) took first → Sonnet 5 took second, beating Fable 5 for knowledge work → Opus 4.8 got whooped Then I had Composer 2.5 judge every output independently — and it picked Fable 5 almost across the board. My blind picks and the AI judge completely disagreed. Full breakdown, method, and prompts in the video below. Which model are you running as your daily driver right now?
18:49

I couldn't believe the results of this benchmarking test. I blind-tested 6 frontier models — Sonnet 5, Opus 4.8, Fable 5, GPT 5.5, GLM 5.2, and Kimi 2.5 — on knowledge work, not engineering. Writing. Analysis. Design. Vibe coding. Subagent simulations. The stuff we actually do all day. Same prompts, each model running its own subagent, every output graded blind before the labels were revealed. The results: → GLM 5.2 (the dirt-cheap open-source model from China) took first → Sonnet 5 took second, beating Fable 5 for knowledge work → Opus 4.8 got whooped Then I had Composer 2.5 judge every output independently — and it picked Fable 5 almost across the board. My blind picks and the AI judge completely disagreed. Full breakdown, method, and prompts in the video below. Which model are you running as your daily driver right now?

JJ Englert

10,737 просмотров • 18 дней назад

GPT-5.6 Sol Ultra lost to GPT-5.5 on physics at 3× the cost! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: - A monster truck backflipping onto a parked car - A stunt car jumping six buses into a brick wall - A train derailing off a broken bridge into the water Outputs: GPT-5.6 Sol Ultra: 32.9K tokens, $0.33 Opus 4.8: 9.2K tokens, $0.24 GPT-5.5: 12.4K tokens, $0.11 Grok 4.5: 7.0K tokens, $0.08 Sol Ultra draws just like GPT-5.5, only with more detail and it shows clearest on the bus jump where the two look almost identical. In the other tests Sol Ultra came out worse than its predecessor and the physics really got weaker. We think GPT-5.5 took the truck flip and the train outright. With Sol Ultra you basically get GPT-5.5 with weaker physics and a nicer picture for 3x the price. Newborn Grok 4.5 failed two of the three tests and only came good on the train
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GPT-5.6 Sol Ultra lost to GPT-5.5 on physics at 3× the cost! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: - A monster truck backflipping onto a parked car - A stunt car jumping six buses into a brick wall - A train derailing off a broken bridge into the water Outputs: GPT-5.6 Sol Ultra: 32.9K tokens, $0.33 Opus 4.8: 9.2K tokens, $0.24 GPT-5.5: 12.4K tokens, $0.11 Grok 4.5: 7.0K tokens, $0.08 Sol Ultra draws just like GPT-5.5, only with more detail and it shows clearest on the bus jump where the two look almost identical. In the other tests Sol Ultra came out worse than its predecessor and the physics really got weaker. We think GPT-5.5 took the truck flip and the train outright. With Sol Ultra you basically get GPT-5.5 with weaker physics and a nicer picture for 3x the price. Newborn Grok 4.5 failed two of the three tests and only came good on the train

atomic.chat

895,254 просмотров • 10 дней назад

🚨 Frontier Model Router - Mix And Match All the Frontier LLMs Our most popular custom router is our frontier-model router that combines the best LLMs for all your tasks GPT 5.6 sol - data analysis Fable / Opus 4.8 - coding Flash 3.5 - summarization Grok 4.5 - real-time Pick your favorite LLMs for all your tasks. As of today the custom routers can be used in ANY harness - Abacus AI, Claude, Codex, Open-Code....
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🚨 Frontier Model Router - Mix And Match All the Frontier LLMs Our most popular custom router is our frontier-model router that combines the best LLMs for all your tasks GPT 5.6 sol - data analysis Fable / Opus 4.8 - coding Flash 3.5 - summarization Grok 4.5 - real-time Pick your favorite LLMs for all your tasks. As of today the custom routers can be used in ANY harness - Abacus AI, Claude, Codex, Open-Code....

Bindu Reddy

4,582,654 просмотров • 4 дней назад

Your dream of becoming a MILLIONAIRE could become a reality in a flash with the FCMB Millionaire Promo, Season 9. Just by increasing your savings by 10k and leaving it for 30 days, you could be on your way to becoming a millionaire! Don't have an FCMB savings account yet? Simply download the FCMB New Mobile App now or visit to open one. Don't forget to use 'MP9' as your referral code. To learn more, visit Start saving and start winning. Terms and conditions apply. #FCMB #MyBankAndI #FCMBMP9
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Your dream of becoming a MILLIONAIRE could become a reality in a flash with the FCMB Millionaire Promo, Season 9. Just by increasing your savings by 10k and leaving it for 30 days, you could be on your way to becoming a millionaire! Don't have an FCMB savings account yet? Simply download the FCMB New Mobile App now or visit to open one. Don't forget to use 'MP9' as your referral code. To learn more, visit Start saving and start winning. Terms and conditions apply. #FCMB #MyBankAndI #FCMBMP9

FCMB

173,166 просмотров • 3 лет назад

HERMES AGENT NOW RUNS A FULL BUSINESS FOR $8/MONTH. CONTENT. CODE. INBOX. ALL AGENTS. EVERYTHING WHILE YOU SLEEP. one user built this in one session. zero terminal commands. browser only. the team: → content agent: finds video topics, writes first drafts, helps with animations → code builder: writes website and SaaS code → ops agent: organizes and answers email total setup cost: $1. monthly runtime: $8 VPS + cheap model API. the trick is matching model to task. frontier models (Opus 4.8, GPT-5.5) for complex /goals only. $5/million tokens. mid-tier (Claude Sonnet, Haiku, Kimiko 2.6) for daily content and research work. budget (DeepSeek V4 Flash, MiniMax 2.7, Gemma 4, Qwen 3) for cron jobs and routine. run the initial setup on Opus. switch to DeepSeek for everything after. your bill drops 90% with zero quality loss on routine work. the agent team picks up tasks from kanban. each completed task creates a skill. week 3 the same workflows run faster than week 1. full breakdown on Hermes Os in the article 👇
14:53

HERMES AGENT NOW RUNS A FULL BUSINESS FOR $8/MONTH. CONTENT. CODE. INBOX. ALL AGENTS. EVERYTHING WHILE YOU SLEEP. one user built this in one session. zero terminal commands. browser only. the team: → content agent: finds video topics, writes first drafts, helps with animations → code builder: writes website and SaaS code → ops agent: organizes and answers email total setup cost: $1. monthly runtime: $8 VPS + cheap model API. the trick is matching model to task. frontier models (Opus 4.8, GPT-5.5) for complex /goals only. $5/million tokens. mid-tier (Claude Sonnet, Haiku, Kimiko 2.6) for daily content and research work. budget (DeepSeek V4 Flash, MiniMax 2.7, Gemma 4, Qwen 3) for cron jobs and routine. run the initial setup on Opus. switch to DeepSeek for everything after. your bill drops 90% with zero quality loss on routine work. the agent team picks up tasks from kanban. each completed task creates a skill. week 3 the same workflows run faster than week 1. full breakdown on Hermes Os in the article 👇

YanXbt

30,802 просмотров • 1 месяц назад

timelapse #152 (18.5 hrs) - been seeing what magic i can do from the opus 4.8 + gpt 5.5 combo while fable is gone - studied some pendulum physics to help build intuition for sims and what type of optimizations are possible on GPUs (caching, reg, data structure level) - pushed GLM 5.2 results to - getting deeper into new kernel contract (can’t say cuz private) - spent time with a girl I like - came back and did a space w/ Adrian Dittmann
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timelapse #152 (18.5 hrs) - been seeing what magic i can do from the opus 4.8 + gpt 5.5 combo while fable is gone - studied some pendulum physics to help build intuition for sims and what type of optimizations are possible on GPUs (caching, reg, data structure level) - pushed GLM 5.2 results to - getting deeper into new kernel contract (can’t say cuz private) - spent time with a girl I like - came back and did a space w/ Adrian Dittmann

Elliot Arledge

16,698 просмотров • 1 месяц назад