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
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
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
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
Haiku 5.5 draws Mona Lisa in Google Sheets
run via aimlapi.com
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
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
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
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
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















