Andy D

@aimlapi Maybe muse spark is better in launching meta ads?

Grok 4.5 crushed OpenAI & Meta in this test! Cost per run: GPT Sol $1.63 Grok 4.5 $2.47 Meta Muse Spark 1.1 $1.08 The three prompts: • Fruit Ninja – style slicing game • Angry Birds – style fort collapse • Crossy Road clone Grok nailed all three: clean physics, smooth playback, good visuals. GPT Sol did fine until Crossy Road, where it froze. Meta Muse Spark was cheapest and it showed: its Crossy Road lagged badly. The question isn't which model is cheapest, it's what a broken output costs you in reruns, wasted time, and things you can't ship. Cheap stops being cheap when it doesn't work.

@atomic_chat_hq I’ll use grok when I need to make a monster truck breakdance project

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

@OpenAI ChodexGPT

Today. 10am PT.

@gmi_cloud maybe if @Zai_org had launched SpaceZ, humans would’ve colonized Mars already

Grok 4.5 operates at Opus-level intelligence and Sonnet-level pricing! We tested it against Claude Opus 4.8, Sonnet 5, and GLM 5.2 on a SpaceX mission: liftoff, stage sep, orbit insertion, satellite deploy. Grok 4.5 animates it more accurately and vividly than Sonnet 5 and GLM 5.2. Opus is the fastest and most expensive. Grok burns more tokens but still lands ~40% cheaper than Opus, and a bit under Sonnet 5. Time / tokens / cost: Grok 4.5 — / 35k / $0.69 Opus 4.8 — / 13.7k / $1.10 Sonnet 5 — / 22.1k / $0.78 GLM 5.2 — / 92.7k / $0.13 yet GLM did the whole mission for $0.13 😮

@cursor_ai damn, Grok is the only one beating Composer on the chart, everyone else already beat it with the version number: 4.8+

We've partnered with SpaceXAI to train Grok 4.5. It’s our most powerful model yet and the first we've built for more than software engineering.

@OpenAI Better call Sol

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday. We’re expanding preview access globally now.

@atomic_chat_hq omg hy3 beats glm5.2... ...but glm5.2 beats opus 4.8 🫣🫣

New Hunyuan Hy3 hits Gemini 3.5 quality on physics for 35x cheaper! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: - A bowling ball knocking down the pins - An air hockey rally that ends in a goal - A pool break scattering the rack Outputs: Hunyuan Hy3: 29,757 tokens, $0.006 Gemini 3.5: 23,300 tokens, $0.21 GLM-5.2: 25,454 tokens, $0.07 DeepSeek-V4: 50,600 tokens, $0.009 Tencent's Hy3 matched Gemini across all three: clean collisions, the puck bounced true, the pins scattered like a real strike, the rack broke with real momentum, nothing clipped or floated. GLM is genuinely strong on pure coding tasks, but the moment the job steps outside clean code it gives way. DeepSeek was the letdown, it burned the most tokens of anyone (50k, almost 2x Hy3) and still turned in the weakest scenes

@ammar_in_tech As I understand it, you don’t recommend it for ads?

Tried out kickbacks.ai yesterday for LaunchPact, first, kudos to the ingenious idea 👏 I ended spending around $40 across 3 ads, for some reason it keeps you wanna spending, lol, this gave me: 12k impressions -> 1k unique views -> 24 clicks, so a 2.4% CTR Note: the delivery to 12k impressions took less than 5mins 😃 I'll compare this to GAds, reddit, meta and tiktok ads that i also ran for LaunchPact in the comment.

atomic wallet in 2026: open it to swap usdt, close it having bet on whether @elonmusk goes back to a trillion before the weekend

@atomic_mail my agent created 5 email accounts in 5 minutes, started outreach from each one, automatically fills the tracking spreadsheet, and even sends me the replies) very helpful waiting for an option to create business email accounts with a custom domain

API-first email built for AI agents One prompt to plug in via MCP or Agent Skill Your agent gets its own inbox – and can run any workflow over email Free in open alpha - link in comments

Do people making these benchmarks actually believe GLM is better than Claude, or is this just farming engagement? Reading this is hilarious It’s like claiming Xiaomi is better than an iphone because it has a 67 megapixels camera

@atomic_chat_hq I’ve been waiting for this for fifteen years

New Fable 5 beats Opus 4.8 on real world physics simulations We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries: 1. Chaotic double pendulum 2. Galton board 3. Water in a spinning drum (WCSPH) Generation cost Fable 5: $3.35 on 68.7k tokens, time 14m 47s Opus 4.8: $0.93 on 38.9k tokens, time 8m 10s Fable clearly did better on the water simulation, producing a much more solid and continuous body of water. Opus left larger gaps near the walls, scattered particles around the scene, and struggled to keep the fluid stable.

Every automation I built to reduce manual work

@OverchatAI @OpenAI @GoogleDeepMind This is the first UNO game I’ve watched from start to finish

I made @OpenAI GPT-5.5 and @GoogleDeepMind Gemini 3.1 Pro play REAL UNO — 10 games, full rules. Gemini overthought every single card — literally 6× more reasoning tokens (133.5K vs 22.5K). And it paid off — Gemini won 8–2. Best part: they roast each other between cards the whole match 😂 Full stats ↓

@schwarzerrttr @claudeai @MiniMax_AI @aimlapi I built a local chess referee with Node.js and chess.js. After every move, it sends the updated position to the next model through @aimlapi. The model must return exactly one move in SAN notation. chess.js validates the move before it appears on the board.

@hypersonq @claudeai @MiniMax_AI @aimlapi Can you share a bit more details regarding the setup? How they got understanding of the rules, their goals etc.

I ran a 10-game AI chess tournament: @claudeai Opus 4.8 vs @MiniMax_AI M3 API calls powered by @aimlapi In this game, Claude crushes MiniMax in 28 moves Claude costs ~8x more per move: ~$0.020 vs ~$0.0025 Total: ~$0.62 Full results below ↓

@aimlapi @claudeai @MiniMax_AI invest in my AI championship lab $10 api key please

@hypersonq @claudeai @MiniMax_AI Looks awesome! We'd love to sponsor you building a chess tournament between 8 frontier models.

MiniMax is much cheaper though) If you need a budget chess player that thinks a lot, pick MiniMax If you need a win and have an extra ~$0.50, pick Opus But honestly, neither of them is exactly playing at grandmaster level yet))

Final results after 10 games: Claude Opus 4.8: 9 wins MiniMax M3: 0 wins Draws: 1 Claude won all 9 decisive games by checkmate

@maxpostingx Please also share here your YouTube channels that you monetised via Claude)

🚨🚨🚨 BREAKING: Claude can now build your YOUTUBE Channel from zero to monetized in 90 days ♥️♥️ Here are 7 prompts to dominate YouTube🪶🪶🪶🪶🪶🪶🪶