Platform for developers and entrepreneurs looking to integrate cutting-edge AI capabilities into their products.

Save on your API bill this Halloween 🎃💸 Treat yourself to a 0% markup on all AI models! Build with Jev, Claude, GPT, DeepSeek, Grok, Veo, Seedance and 1000+ other models without paying extra $$$.. Claim zero markup -> aimlapi.com. First 100 commenters will get a promo code for free credits!
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Introducing Jev Router for Agentic Tools ⚡ 1. Connect your agent to 10,000+ tools and models in one MCP 2. @TypesafeAI’s Jev picks the best for your task 3. Result is 96% cheaper than Claude! Try it with zero markup now > aimlapi.com/mcp First 100 commenters will get a $10 promo code as early adopters!
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GPT 6.1-Terra beats Opus 5.5 at 4.5x lower price in 3D McDonald's 🍔 We had models recreate McDonalds with Trump serving burgers in. Both ran at medium effort, with Terra finishing in 40 min, Opus - 83. Run GPT 6.1-Terra > aimlapi.com
GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
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Claude can crawl Reddit now! It just found TOP-5 trends in 1 min💥 We connected AI/ML API to Claude, and it analyzed 2,070,097 upvotes to find what's trending. It was 110x faster than a browser MCP, for just $0.26 totalю Crawl Reddit with your AI agent > aimlapi.com/mcp
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Kimi K3.1 Pro is the new Opus 5.5 but 3.5x cheaper Both models made Jensen Huang's robo-ducks. Opus took 3 hours, Kimi did it in 1 at a much lower price Run Kimi K3.1 Pro on aimlapi.com
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
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MiniMax M3.1 Flash mogs Muse and DeepSeek for FREE 🔥 Try Space Bunny on aimlapi.com
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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DeepSeek V4.1 Flash 1017 actually cooked GPT-Luna 🐋 We tested both models in a 3D whale breach. Try it on aimlapi.com
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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Gemini 4 Argon vs GPT-6 Astra in 3D: the quality is not there yet... Same prompt for both. Argon is 5.6x times cheaper, but there's a lot to be improved Both models run via aimalpi.com
Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Hope you all enjoy it!
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Muse Wonder moggs Opus 5.5 at 2.6x lower price Same 3D physics scenes prompt for both models. Try Muse Wonder on aimlapi.com
introducing muse wonder our new frontier model. state-of-the-art at personal agents and professional agents. our largest and most capable model yet—rivals the big bois
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Haiku 5.5 draws Mona Lisa in Google Sheets run via aimlapi.com
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5.
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Nano Banana 2.1 is cheaper and 5x faster than GPT Images we tested the new Nano Banana model against GPT images with the same prompt and 5 images numbers: • Nano Banana 2.1: $0.044/image, rendering in 11 seconds • GPT Images 2.5: $0.069/image, rendering in 50 seconds Both models run via aimlapi.com
Meet Nano Banana 2.1, our latest image generation and editing model 🍌 This upgraded version outperforms our previous models across the board, with notable leaps in visual design, mask-based editing, and subject consistency to help you create more natural-looking images.
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Ling-3.1-flash by @AntLingAGI is live on AI/ML API ⚡ 560B MoE with ~25B active per token. Up to 1M context. Built for agents, coding and long documents. Free to try until October 13 on aimlapi.com
Meet Ling-3.1-flash: ~560B total params, ~25B active/token, up to 1M-token context. We plan to open-source the model soon. Across work, coding & healthcare: 1,673 Elo on GDPVal-AA v2.1, 75.16 on FrontierSWE, and 65.35 on HealthBench Professional.
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Introducing the LiquidRouter. We experimented with the @liquidai's d1 classifier model, and came up with a router that saves up to 80% of your LLM costs. It rates every of your prompt's difficulty and sends it to the right model: low-cost models for easy work, top models for hard work.
Announcing d1, our first decision model. It's the first model to outperform Jev on @huggingface's Decision Index. > wins on multilingual evals > more robust against prompt injection > handles longer inputs more effectively > built for fast, structured decision-making in software environments > Liquid API: console.liquid.ai > Available on OpenRouter soon
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GPT-6.1 built Super Mario Bros for $4.17 In 50 minutes we recreated the Super Mario Bros in 3D with the newest OpenAI model try GPT-6.1 Sol on aimlapi[.]com
GPT-6.1 Sol: near-Astra intelligence for a fifth of the price. It’s the most cost-efficient model for its performance available today.
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Replying to @claudeai
Sonnet 5.5 vs GPT-6 Luna at Fruit Ninja: 57x price difference 🤯 same prompt, same rules, 1 shot. cost: Claude Sonnet 5.5 - $2.86 5.5 GPT-6 Luna - $0.05 what we saw: Sonnet drew the game closer to the original, but Luna did it 3x faster and 57x cheaper. Try both models on aimlapi.com
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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
Grok 4.7 is here. It's a notable improvement over Grok 4.6 at the same price and speed.
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Introducing the AI chess tournament: USA vs China In 14 days we'll know which country and which model are best at the game Details below 👇
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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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this ad with flies cost $15 and took 20 minutes to make.
This ad cost $9 and took 10 minutes to make.
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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. 1/6
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Replying to @aimlapi @0x5C4R
here's the result with the old model GPT-5.4 Image 2
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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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Replying to @tere_labs
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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!
Gemini 3.7 Flash is here. It’s stronger for coding, knowledge work, and web development. 🧵
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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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Replying to @okti_AI
insane stuff

ALT What The Hell Wtf GIF

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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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Replying to @tere_labs
yes! grok is cooking

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Replying to @m9ter1a
yeah! that's peak

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Replying to @cryptoninjap2e

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Replying to @BytePlusGlobal
great video! LFG team

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Replying to @ai_for_success

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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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Replying to @hug0_plat
yes!

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