My Stack0+ Submit ToolCompare visible chain-of-thought reasoning models (DeepSeek-R1-Distill-32B MIT) and long-context cloud research assistants (Claude 1M, ChatGPT, Gemini, Perplexity).
/ai/[slug] page.
Google's multimodal assistant with deep integration into Gmail, Docs, Sheets, and Drive, plus consumer and Workspace pricing tiers.
If you live in Google Workspace, Gemini saves real hours. If you don't, it's just a slightly cheaper ChatGPT.
Draft a project brief from this Drive folder and email the summary.
Illustrative Workspace task; not executed here.
The flagship 671B total / 37B active Mixture-of-Experts foundation model with Multi-head Latent Attention (MLA), matching closed frontier models under MIT license.
The biggest open-weight breakthrough in history. If you have 64GB-128GB unified memory or a dual-GPU node, it replaces your entire cloud API bill under MIT.
Analyze the architectural latency trade-offs between Multi-Head Attention and Multi-head Latent Attention (MLA).
A rigorous mathematical analysis comparing KV-cache memory consumption and matrix compression ratios.
Meta's ubiquitous 8B foundation workhorse with 128K context, multilingual capabilities, and massive tool-calling ecosystem support.
Still the most integrated small model on earth. Every framework, agent library, and tutorial supports Llama 3.1 8B out of the box.
Summarize the key events leading to the 1904 Entente Cordiale in three concise paragraphs.
A structured historical summary examining colonial rivalries, Fashoda, and diplomatic reconciliation.
Google's 100% Free AI research assistant with citation-backed document grounding and viral two-host Deep Dive audio podcast generation.
The best free research tool on the internet. Strict citation grounding makes hallucinations virtually impossible, and the audio overview feature is revolutionary.
Upload 5 scientific PDF papers on CRISPR gene editing and ask for contradictions between them.
Structured synthesis comparing study methodologies with clickable direct citations.
A research-oriented AI search product that synthesises information and provides inline citations from live web results.
ChatGPT now has web search + citations built in. Perplexity's edge is narrowing fast — save the $20 unless you specifically want its source-first UX.
Compare current approaches to retrieval-augmented generation.
Illustrative research task; no live web research is performed.
Generates polished, interactive slide presentations, documents, and web pages from text prompts in 30 seconds with responsive layouts.
Takes the misery out of building pitch decks and weekly client presentations. What used to take half a day takes 4 minutes in Gamma.
Create an executive pitch deck for a B2B cybersecurity startup raising a Series A.
Interactive 10-card deck with market size, competition matrix, and financial projection slides.
Microsoft's synthetic-data trained 14B reasoning powerhouse. Outperforms many 70B models on math, STEM logic, and structured evaluation under MIT license.
A synthetic data triumph. If you need math, logic, or STEM reasoning on a 12GB card, Phi-4 crushes models twice its size under a pure MIT license.
Prove by mathematical induction that 1 + 2 + ... + n = n(n + 1)/2 for all natural numbers n.
A formal mathematical proof establishing the base case n=1 and the inductive step k -> k+1.
A distilled reasoning model that preserves chain-of-thought behaviour in a size that fits on a 24 GB GPU at 4-bit.
MIT license + real reasoning traces + fits in 24GB is a rare combo. Watch token burn — reasoning uses 3-5x more output tokens than a normal model.
Explain the trade-offs between RAG and long-context retrieval for a 200K-token corpus.
Illustrative reasoning prompt; not executed here.
Ultra-compact on-device language model trained on 11 trillion tokens by Hugging Face. Runs at 120+ tokens/sec on CPU or 2GB VRAM with Apache 2.0.
The best sub-2B model in the world. Ideal for edge IoT, Raspberry Pis, and instant regex/JSON extraction at 120+ tok/s on CPU.
Extract customer name, order ID, and refund reason into clean JSON from this email.
A structured JSON object with parsed customer fields and zero markdown conversational filler.
World-leading open mathematical reasoning model, scoring over 85% on MATH benchmarks. Specialized for scientific computation, equations, and formal proofs.
The absolute gold standard for mathematical precision in the open ecosystem. Don't use it for chat — use it for proofs and numeric analysis.
Find all integers n such that n^4 + 4 is a prime number, with full proof.
A formal Sophie Germain identity factorization showing n=1 is the only valid solution.
IBM's flagship enterprise open-weight model with 128K context, trained under strict copyright curation and released with full Apache 2.0 licensing and IP indemnity.
Built specifically for enterprise legal departments terrified of training data copyright lawsuits. Solid RAG performance with true Apache 2.0.
Draft an enterprise compliance policy for data classification across Confidential, Internal, and Public.
A formal compliance document with handling procedures, access controls, and retention schedules.
Apex Intelligence's 35B MoE language model trained via recursive automated AI research agents. Specialized in computational science, robotics simulation, Claude Code agent workflows, and deep scientific reasoning.
Trained by AI agents to perform AI and scientific research. Because only 3B parameters are active per token, it runs like a 3B model while delivering the deep reasoning depth of a 35B architecture on 16GB GPUs.
Formulate a robotics trajectory optimization algorithm with obstacle avoidance constraints.
Rigorous mathematical formulation with typed Python simulation code.
