Platform for developers and entrepreneurs looking to integrate cutting-edge AI capabilities into their products.
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Opus 5.5 beats Jev and GPT-6 Sol in 3 moves: Rubik’s Cube race
We made 4 models run with same limits for all: 20 moves or 5 minutes. Every move = 1 API call.
Results:
Opus 5.5: solved in 1m 12.87s with the perfect 3 moves
GPT-6 Sol: wrong first move, out of time after 4 moves
Jev: 20 moves in 20 seconds, ran out of moves
Laya: 20 moves in 9.5s, ran out of moves
Opus, GPT, and Jev ran via aimlapi.com, Laya ran locally.
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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Space Bunny performs TERRIBLE in physics 💀
we tested Space Bunny against GLM 5.3 in a task with a single focus scenes: an explosion in a desert, a tornado, a balloon pop, a water drop fall, and the Newton’s cradle
here’s what we got:
- the Newton’s cradle is where GLM 5.3 totally cooked Space Bunny
- water drop and tornado were the worst, neither of the models handled it
price:
Space Bunny: free
GLM 5.3: $0.40
try it with aimlapi.com
Space Bunny (stealth model) is free for the next week
- 1M Context
- Multi-modal
- Zero Data Retention
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Opus 5.5 absolutely beats GPT-6 Sol in 3D
Despite being 13x more expensive than GPT-6 Sol, the high quality of Opus 5.5 is undeniable!
cost:
GPT-6 Sol: $0.34
Claude Opus 5.5: $4.37
Try both on aimlapi.com
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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Grok 4.7 beats Opus 5 at 10× lower price!
the test: four self-contained three.js space scenes: a night rocket launch with fire and smoke, an alien mothership lasering incoming meteors, a rotating spiral galaxy, a black hole swallowing planets and stars
cost:
Grok 4.7: $0.20
Claude Opus 5: $2.05
what we saw:
• Grok is faster on 3 of 4 scenes, galaxy and black hole in about 60 seconds each, while opus needed 1.5–3 minutes per scene
• every Grok's scene fully built: launch pad with moon, ringed planet behind the mothership, spinning galaxy, black hole with planets falling in
try Grok 4.7 on aimlapi[.]com
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Jev VS Fable 5.1 VS GPT-6 Astra: chess
typesafe's new Jev V13 isn't an LLM. it doesn't chat, doesn't explain, doesn't write code — it only makes decisions. so we made it play blitz against frontier LLMs.
the test: 5+0 blitz. every move is one API call.
Jev V13 vs Fable 5.1:
• fable outplayed it. by move 29 it was +16 in material and even promoted a second queen
• but it kept burning 6-15 seconds per move on analysis. jev answered in ~2.6s
• so fable didn't have enough time and lost
Jev V13 vs Astra:
• astra didn't bother winning on material. it mated jev in 18 moves. Qe1#, with 2:27 to spare
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
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Union Alpha cooked Ox Alpha for FREE
we put Union Alpha against Ox Alpha on 3D generation. the task: generate a 3D robot army assault on a megapolis
Union Alpha: 44,358 tokens, FREE
Ox Alpha: 127,064 tokens, $0.57
• union fires hundreds of converging beams that slice a tower apart mid-frame, the most cinematic shot of the whole run
• union needed 3× fewer tokens for the same briefs: it writes the code instead of thinking
try Union Alpha for free on aimlapi[.]com
Union Alpha (stealth model) is free for the next week
- no data training
- built for agentic coding
- supports images
let's see what you can do
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DeepSeek V4.1 Flash vs Gemini 3.8 Flash at 3D geometry
test: six self-contained three.js stereometry scenes — a (3,8) torus knot, a Klein bottle, a great stellated dodecahedron, a hyperboloid ruled by 120 straight rods, a level-3 Menger sponge, a thick Möbius strip. one shot each, no libraries beyond three.js, every surface painted with a live iridescent rainbow that has to crawl across the geometry.
cost:
Gemini 3.8 Flash — $0.11
DeepSeek V4.1 Flash — $0.27
• gemini delivers all six figures for 2.4× less — 21k output tokens against deepseek's 168k
• gemini is 5× faster — every scene under 25 seconds, deepseek took up to 3 minutes on the Möbius strip
• deepseek wins the torus knot: its rope is vivid and glossy, while gemini rendered the same knot nearly black
• neither model can build a real Klein bottle. both hand back a twisted tube and call it done
try both on aimlapi[.]com
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
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GPT Images 2.5 beats Nano Banana Pro on detail and color
the test: five one-shot image prompts, identical text for both models — a crab scoring through a ring of fire at sea, a cat devouring galaxies, a girl with a laser cannon vs giant octopuses, a crocodile fighting a hot dog army in a rainbow valley, a giant banana with laser eyes leveling a metropolis. one generation each, no retries, no cherry-picking.
interesting:
• gpt packs every frame with detail — individual droplets on the crab's shell, hundreds of hot dog soldiers in one shot, debris flying off every collapsing tower
• gpt's colors just hit harder — deeper saturation, hotter fire, real neon in the laser beams
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of.
- Faster image generation to keep your ideas flowing
- Improved fidelity for more natural, recognizable images
- Consistent details across multiple edits
- Comment-based edits to change only what you want
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GPT Astra built a Rocket League clone for $25
Astra wrote the entire game in @threejs — no engine, no assets, no human-written code
the result 👇
What can you ship with GPT-6 Astra?
Drop a demo or link below, plus one line on how Astra helped.
Game on. You’ve got 24 hours.
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GPT Astra just cooked Claude Fable 5.1 — for a lower price!
OpenAI just rolled out GPT‑6 Astra — we put it against Anthropic's Fable 5.1
Both models got the same four briefs: Earth colliding with Mars, a tall ship sucked into a giant whirlpool, Godzilla leveling downtown, a mega-tsunami swallowing a city. One self-contained HTML file per scene, one shot, no edits.
GPT Astra: 25,159 tokens, $1.67
Claude Fable 5.1: 37,767 tokens, $2.51
both models live on aimlapi[.]com — 1000+ models, one key.
GPT-6 Astra is now available to all Pro, Enterprise, and Business Premium users in ChatGPT Work and Codex. It's also live in the API.
It might take a few days to roll out to our Plus and Business users. Thank you for your patience.
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Muse Spark 1.3 vs 1.2: sculpt viking figurines
@AIatMeta dropped Muse Spark 1.3 today — we ran it against Muse Spark 1.2
both models got the same brief: three collectible 3D figurines — a viking helmet, a diamond-studded axe, a longship with a crew — one self-contained HTML file each, one shot.
Muse Spark 1.3: 22,474 tokens, $0.10
Muse Spark 1.2: 19,324 tokens, $0.08
1/ today we’re releasing muse spark 1.3—available in muse code & the meta model api.
this is our most capable model yet—frontier performance almost too cheap to meter. much stronger at agentic and coding with better usability. we think users will really notice the jump.
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Gemini Flash 3.8 beats Opus 5 at at 15× lower price
the test: four self-contained three.js physics scenes — a balloon popped by a needle, a ball dropping into water, a bomb with a mushroom cloud, a live atom model. 5 seconds each, real gravity, real impact.
cost:
Gemini 3.8 Flash — $0.12
Claude Opus 5 — $1.86
what we saw:
• gemini passes the same physics checklist for 15× less — the ball sinks and bobs, ripples spread, the mushroom towers over the scene
• gemini is 4× faster — every scene generated in under 70 seconds. opus took up to 5 minutes
try Gemini 3.8 Flash on aimlapi[.]com
Introducing Gemini 3.8, our best reasoning & coding model yet.
By leveraging long-running agentic loops, we’re building on the momentum of 3.7 Flash from just three weeks ago to release two new 3.8 variants:
Meet Gemini 3.8 Flash and Gemini 3.8 Flash Cyber 🧵
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Fable 5.1 charges 6× more than GPT-5.6 Sol
anthropic's Fable 5.1 went live. we threw it straight at openai's GPT-5.6 Sol. same prompts, one shot.
the test: five self-contained three.js scenes, one continuous project — a futuristic mansion on a private island. exterior orbit, grand hall with a diamond chandelier, pool with a water park, garage with 10 lambos, helicopter landing on the roof
cost:
Claude Fable 5.1 — $5.69
GPT-5.6 Sol — $0.88
what we saw:
• fable goes for realism — waves, depth, a sand ring around the island. sol goes low-poly and clean, and its style never breaks across all 5 scenes
• fable's chandelier is thousands of individual crystals. sol's hall is honestly just a staircase and a wall
• fable's helicopter touches down on the lit helipad much smoother than sol's
• fable built a triple-slide water-park tower — and shipped the pool with no water. sol's park is tiny — but the pool is full
6× the price buys you 6× the detail — and the same one-shot bugs. what's your choice?
try Fable 5.1 on aimlapi[.]com
We’re introducing Claude Fable 5.1 and Claude Mythos 5.1.
They're the world’s most advanced models for coding and knowledge work.
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GLM-5.3 FLASH VS CLAUDE 4.6 OPUS VS HY4
We gave GLM-5.3 Flash, Claude 4.6 Opus and Tencent's Hy4 the exact same prompt - generate the Backrooms with a monster.
Cost:
GLM-5.3 Flash: $0.03
Hy4 preview: $0.13
Claude 4.6 Opus: $0.29
Try all three models on aimlapi[.]com
🚀 Hy4 preview is here.
770B, 49B active, 1M context.
Built for productivity.
Open source frontier.
Consistent affordable price.
Use it. Tell us what breaks.
More on Hy blog：hy.tencent.ai/research/hy4-p…
HuggingFace：huggingface.co/tencent/Hy4-p…
Github：github.com/Tencent-Hunyuan/H…
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you can now do incredible things with Gemini Omni 1.1 Flash
Meet Gemini Omni 1.1 Flash ⚡️ Our newest multimodal model for video generation and editing. It now features your favorite creative controls from Veo, plus brand new capabilities.
Enjoy features like 4K upscaling, first / last frame control, and fast 360p drafting.
But, the biggest upgrade? Next-level scene extension.
With Omni 1.1 you can extend scenes based on 10 seconds of context from your original video, a big jump from Veo's 1 second! That means tighter consistency, deeper control, and longer, more cohesive storytelling.
See it in action ↓
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GLM-5.3 FLASH VS GEMINI 3.7 FLASH — 11X CHEAPER
The recently revealed Ox Alpha model has been identified as GLM-5.3 Flash. We benchmarked it against Gemini 3.7 Flash.
Objective: Generate three complex disaster scenes, each as a single, self-contained Three.js file, using a single prompt per scene.
Scenarios: A tsunami destroying a city, Earth colliding with Mars, and a whirlpool sinking a ship.
Total Cost:
GLM-5.3 Flash: $0.03
Gemini 3.7 Flash: $0.33
Who won?
Introducing GLM-5.3-Flash
- Leading capabilities at a highly competitive price
- Natively multimodal with a 1M-token context window
- A 320B-A18B model released under the MIT License
- Previously previewed as Ox Alpha, running entirely on Chinese AI chips
Blog: z.ai/blog/glm-5.3-flash
Available now across all official platforms:
Weights: huggingface.co/zai-org/GLM-5…
API: docs.z.ai/guides/llm/glm-5.3…
Coding Plan: z.ai/subscribe
ZCode: zcode.z.ai/en
Chat: chat.z.ai
AutoClaw: autoclaw.z.ai
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NEW OX ALPHA FEELS CRAZY 🤯
We asked Ox Alpha to build a dreamcore 3D world in three.js — one prompt, one shot. No assets or edits — all procedural code from a single response.
64,745 tokens. And it was absolutely FREE!
Try Ox Alpha for FREE on aimlapi{.}com
Ox Alpha (stealth model) is free for the next week
- 1M Context
- Multi-modal
- Zero Data Retention
Generous rate limits, near unlimited usage
We have capacity for 100T tokens per day, lets see what you can do
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GLM-5.3 beat GPT-5.6 SOL at 3D
@Zai_org 's GLM-5.3 vs OpenAI's GPT-5.6 SOL, both through one API (aimlapi[.]com)
the test: one self-contained three.js file rendering Godzilla destroying a night megacity — 150+ lit skyscrapers, real physics on collapsing buildings, then eye lasers carving the skyline. 18-second loop
cost:
GLM-5.3 — $0.37
GPT-5.6 SOL — $0.44
what we saw:
• GLM's destruction is the real deal — towers fracture into chunks that tumble, pile up and burn.
• GLM's Godzilla actually looks like a Godzilla — dark scales, weighty walk, menacing silhouette. SOL shipped a smooth pale toy
• GLM packed the frame — dense city, glowing windows, moon, fires everywhere. SOL's city is sparser and flatter
GLM-5.3 API is now live.
- Built for coding, defensive cybersecurity, and long-horizon agentic tasks
- Priced the same as GLM-5.2
- Available via the official API and partner model gateways
Get started: docs.z.ai/guides/llm/glm-5.3
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GLM-5.3 vs GLM-5.2: build your own landing page
@Zai_org says their new model is built to code — so we ran a head-to-head. Both models got the exact same brief: build a landing page for yourself, one self-contained HTML file each.
The typing terminal, the springy benchmark charts, the working tabs and FAQ, the 3D backgrounds — all their own code. No frameworks, no templates.
GLM-5.3: 161,971 tokens, $0.80.
GLM-5.2: 197,853 tokens, $0.98.
Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.
- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models
Tech Blog: z.ai/blog/glm-5.3
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Qwen 3.8 27B beat Claude Opus 4.6 for $0
open-weights Qwen 3.8 27B on one rented GPU vs anthropic's Claude Opus 4.6. same prompt, no edits
the test: one self-contained three.js file rendering sunken Atlantis — temple, columns, boid fish, kelp, bubbles, god rays, caustics — plus a 20-second camera flythrough
cost:
Qwen 3.8 27B — free (open weights, self-hosted)
Claude Opus 4.6 — $0.21
what we saw:
• qwen actually built a temple — full colonnade, domed roof, glowing portal centered. opus made a long row of columns fading into fog
• qwen's portal is the star of the shot. opus leaves it small and off to the side
• qwen packed more into frame — fish, kelp, ruins layered together. opus spreads thin and empty
qwen's weights are on hugging face — you can run this one yourself!
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face：
huggingface.co/collections/Q…
- ModelScope：
modelscope.cn/collections/Qw…
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A Rolex for $0.038 from Gemini 3.7 👀
We gave Google's new Gemini 3.7 one prompt: model a gold luxury watch in pure three.js — fluted bezel, sunburst dial, date window, sweeping seconds hand. No assets, no textures, no edits. Everything you see is procedural geometry from a single response.
Total cost: $0.038. The full rotation is in the video!
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Grok 4.6 just made Opus look expensive!
We ran a real-world benchmark: Grok 4.6 and Claude Opus 5 one-shotted three 3D scenes of @elonmusk 's TERAFAB megafactory in three.js - the exterior at dusk, the cleanroom fab floor, and the central operations hall with walking workers. No edits, straight from the API.
Both delivered working code on the first try. But the economics aren't close:
Grok 4.6 - $0.38
Claude Opus 5 - $2.06
That's 5.4x cheaper for comparable output - and Grok also spent noticeably fewer tokens per scene. At demo scale that's pennies, at production volume it's the difference in your monthly bill!
Introducing Grok 4.6.
It delivers frontier intelligence and is a significant improvement over Grok 4.5 at the same price.
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NVIDIA's new 3B model just turned coffee stains into planets
Nemotron 3.5 Lightning dropped today: a 30B mixture-of-experts model with only 3B active parameters, a 1M-token context window, and open weights. NVIDIA claims up to 4x faster output than competing models in its class — light enough to run on a single GPU!
We put it through our napkin benchmark: the model gets a photo of a napkin with three coffee ring stains and one prompt — turn the stains into an animated drawing, one self-contained HTML file.
Output: 9,600 tokens
The model read the position and size of every stain and drew a planet exactly over each ring — one with orbiting moons, one with an asteroid field, one big and glowing. Then it added a pencil that sketches them in, stroke by stroke. No missed rings, no misaligned circles — the stains became the planets
Nemotron 3.5 Lightning is already live on aimlapi{.}com for FREE
Introducing NVIDIA Nemotron 3.5 Lightning⚡
An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster.
It delivers up to 4x the output speed of similar-sized models.
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Muse Glimmer one-shot 5 games!
@AIatMeta dropped Muse Glimmer. So we ran it against Muse Spark 1.2, on five one-file game demos, each one written to play itself: Tetris, a top-down pixel street race, a rooftop web-slinger, a blue hedgehog platformer, and Flappy Bird.
the setup:
• Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02
• Muse Spark 1.2 — via aimlapi[.]com. cost: $0.11
what we saw:
• every Glimmer scene runs and plays itself. it's a reasoning model, so it burns more tokens — but the output is clean. its Tetris even scores each placement to keep lines clearing, and the blocks burst into pixels on every clear.
• Glimmer beat Spark at Flappy Bird — its bird flew through the pipes cleaner.
• but it's not perfect: in the racing game its cars sometimes slip off the road, and its graphics are simpler and blockier than Spark's.
glad to see Meta back in open source — and we're waiting for Spark 1.2 weights next 🙌
Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
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Seedance 2.5 just cooked Veo 3.1 – for half the price!
to celebrate, we're giving away $10 in api credits to 20 of you to try seedance 2.5 – just rt/qrt this post, winners will be picked randomly on August 10
@BytePlusGlobal 's seedance 2.5 just dropped. we ran it with google's Veo 3.1 and honestly, it wasn't much of a fight
the test: 5 prompts, one shot each, 4s, 720p, native audio, same exact prompt to both models: a tornado grinding through downtown, a tsunami swallowing a megacity, slow-mo liquid physics, a 180° camera orbit, and a neon sign with text
cost for the 5 clips:
Seedance 2.5 – $6.08 ($1.21 per clip)
Veo 3.1 – $10.40 ($2.08 per clip)
observations:
• seedance is 42% cheaper and it's the better one.
• seedance keeps geometry locked through the orbit shot – buildings, the cellist, the station all stay solid.
• disaster scenes are the closest call: veo throws more debris, seedance stages the shot better.
same prompts, almost half the price, better result. bytedance shipped a monster – and it's live on aimlapi[.]com!
Dreamina Seedance 2.5 Enterprise API is now live on BytePlus.
Built for professional AI video creation, Seedance 2.5 brings new capabilities to creators:
- Longer storytelling with consistent 30-second shots
- Precise timestamp-level video editing
- More realistic visuals with greater creative control
Explore what’s possible with Seedance 2.5.
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Ling-3.0-tiny by @AntLingAGI is live on AI/ML API ⚡️
ZeroDay support, free for everyone until August 13.
Explore: aimlapi.com
Today, we’re releasing Ling-3.0-tiny: 7.9B total parameters, with only 1.3B active per token.
A native hybrid reasoning model built for real-world tasks, math, instruction following, and resource-sensitive deployment.
More intelligence with less compute. 🧵
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Grok 4.5 just beat Kimi K3 at 13x cheaper price!
$0.15 vs $1.98 — same task, same prompt, one shot.
We'll miss Nikita Bier — the best Head of Product X ever had. So we had four models honor him the only way AI can: by building a 3D plush Nikita Boar in his signature suit 🐗
Cost per figure:
Grok 4.5 — $0.15
GPT 5.6 Sol — $0.60
Qwen 3.8 Max — $0.67
Kimi K3 — $1.98
Kimi spent ~19 minutes thinking and billed 13x more. Grok just shipped.
Everyone argues about which model is smartest. Nobody checks the receipt.
And then we made the hogs dance with Grok 🕺
All four models, one API key — AI/ML API, 1000+ models.
Ladies and gentlemen, it's time to pass the torch and demote myself to my natural state: a poster. I'll be stepping back from leading product for 𝕏 and will continue on as an advisor.
Serving the X community has been the privilege of a lifetime. X is, and will remain, the most important communication technology in history. But running this app is a 24/7 job and it's now time for me to take a breather.
The app is seeing unprecedented growth in new users & engagement. We continue to break records every month. We've climbed 70 spots in the App Store since this time last year.
And in the last 400 days, we rebuilt almost every aspect of X: the Timeline, the Android app, onboarding, notifications, chat and more.
We also launched nearly 30 new products while protecting the integrity of the town square: becoming the first app to show Country-of-Origin on profiles and mounting defenses against AI bots. There's certainly much more work to be done, but our foundation is stronger than ever.
None of this would have been possible without the incredible team here. The next leaders will take X to even greater heights with @benjitaylor on design, @singhai on core product engineering and @dinkin_flickaa on mobile engineering -- among many other great people.
Thank you to Elon and the X team for welcoming me into the company. See you on the Timeline.
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Ling-3.0-flash is live on AI/ML API 💎
Created by @AntLingAGI , Ling-3.0-flash is a hybrid-reasoning MoE built for production-scale agents, delivering flagship-level results at a fraction of the compute.
Try it for free until August 6: aimlapi.com
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We've tested the Qwen 3.8 Max preview and it absolutely rocks!
Each scene is built in one shot, a single Three.js file with nothing else added:
• Odysseus' war galley riding the waves
• Trojan horse
• Greek war helmet
Qwen managed to execute the task faster than the other models, while output quality is relatively the same across all of them. If the pricing stays close to Alibaba's previous flagships, we'll get one of the best speed/quality ratios on the market — perfect for running agents at scale.
Soon live on AI/ML API.
Qwen3.8 is launching and going open-weight soon!🌐
With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.
You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out.
Can't wait to hear what you build. Stay tuned! 🚀
Token Plan
international：qwencloud.com/pricing/token-…
China：platform.qianwenai.com/prici…
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Yup, a football video. The World Cup made us do it
Luma rebuilt image generation from scratch — reasoning first, pixels second. And it beats Google's Nano Banana 2 and GPT Image 1.5 on reasoning benchmarks
All 3 new models are now live on AI/ML API
luma/uni-1 plans before it draws. The model generates autoregressively: it works out layout, composition and text placement first, then renders the pixels. $0.052/image
luma/uni-1-max — same prompts, same params, max fidelity. 2K output + editing with up to 9 reference images. Built for hero shots and ad creative. $0.13/image
luma/ray-3-2 — up to 16 keyframes per clip, 20s, 1080p, native HDR + 16-bit EXR export. The video in this post came straight out of it
model ids "luma/uni-1" "luma/uni-1-max" "luma/ray-3-2"
@LumaLabsAI cooked. We serve
No matter how you call it, football, soccer, fútbol, it's the same ball, the same grass, and the same passion that pulls the whole world in. Made with Luma.
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Kimi K3 just outperformed Claude Fable 5 at a quarter of the price.
Kimi K3 $3.11
Claude Fable 5 $12.23
Same prompt: a one-shot MECCHA CHAMELEON, Steam hide-and-seek game. A white chameleon hides in a hand-drawn room, paints itself with the mouse to match the wall behind it, then survives three sweeps of a robot seeker.
We asked for a live pixel-diff match %, five procedural zones, synthesized sound, three scored rounds — one HTML file, no libraries.
Both models live on AI/ML API
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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.
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