LLM Arena
AI Developer ToolsBest for AI enthusiasts and developers, not suitable for beginners.
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Most people arrive knowing what they need done, not which category it lives in. 65 jobs grouped into 12 kinds of work. Pick the kind on the left, or search.
Tick Compare on any two to four cards to put them side by side.
Best for AI enthusiasts and developers, not suitable for beginners.
Zuro is a full-stack platform for designing and operating AI agents. Not great with simple analytics.
Daily AI predictions for top sports leagues.
Digitize your mind into a digital presence, always ready for conversation.
AI platform that tunes in-app purchase pricing and ad timing to grow app and game revenue.
JIT.codes lets you experiment with AI models and build projects fast. It’s great for rapid prototyping.
AI-powered solutions for customs and trade facilitation.
Deliver measurable business value with enterprise-grade, reliable AI models.
Expert teams turn raw data into quality datasets.
Explore AI possibilities with a DIY guide, but limited to Indian shipping.
LocalAI runs AI models offline with zero setup.
Open-source AI gateway, tracks and caps LLM spend.
Ouro brings together data and ideas, but relies on AI agents for some tasks.
Free daily AI football predictions.
Optimize LLM spend and route requests to the right model, even air-gapped.
Learn practical AI and machine learning with hands-on projects.
Works best for tech startups and B2B SaaS companies, but lacks deep B2C insights.
Linq Alpha offers intelligent search for hedge funds.
Catches attitudes and emotions with AI
Online tool to count tokens in OpenAI prompts.
Dimension Labs transforms customer conversations into structured analytics to explain your metrics movement, but it misses live chat and phone call data.
Solves various problems with AI.
Hebbia AI is a finance-focused AI platform.
CodeLogician extends LLM capabilities for software analysis.
Orchestrates AI workloads across global GPU pools.
Gives feedback on how LLM applications affect wellbeing, helping keep AI labs accountable.
A CRM that automates data entry and adds an AI co-pilot named Duke for daily tasks.
Predicts win odds for each map in a FACEIT veto using a model trained on 30 million matches.
Upload and train custom computer vision models.
Soccersm AI analyzes game data to improve team performance. Simple but focused.
Tet Latvia offers a warning, Pathway helps protect your data but can be slow to set up.
Simplifies RAG and ML apps with Postgres and GPUs, but requires a VPC for more than one node.
Smarter Testing, Faster Deployments
Trace and evaluate LLMs with OpenTelemetry, manage prompts, and compare models.
Calculates win odds for FACEIT matches and can auto-veto the weakest map for you.
LM Studio lets you run LLMs offline on your laptop. Supports various models.
Expert in AI/ML solutions, Visage Technologies delivers efficient and compliant products with custom edge AI development.
Epoch AI offers insightful trends and statistics on AI advancements, but lacks real-time data updates.
Web-native LLMs in your browser.
Create PostgreSQL databases instantly.
LAION provides open datasets and models for machine learning research.
GovAI produces rigorous research and fosters talent for navigating AI governance.
Models, training data and machine learning.
Data scientists and ML engineers prepare data, train and evaluate models, run experiments and move working models into production. The tools here cover that pipeline: model hubs and libraries (HuggingFace), no-code and AutoML platforms (BigML, Lobe, Abacus.AI), GPU compute (Vast.ai, Lightning AI, Modal) and local LLM runners like LM Studio. Compare reproducibility and how easily you can export a trained model.
AutoML platforms such as BigML and Abacus.AI choose algorithms and tune settings for you, which is fast for standard tabular problems. Writing models yourself gives more control over features, architecture and evaluation. Many teams use AutoML for a baseline, then build custom models when it falls short.
Apps such as LM Studio download open models and run them on your own machine, so data stays local. You need enough memory for the model size you choose, and smaller quantised models trade some quality for speed. This suits private data and offline experiments.
Marketplaces and platforms such as Vast.ai, Lightning AI and Modal rent GPU time by usage instead of hardware ownership. Compare availability, startup time, storage and how they handle interrupted jobs. Keep checkpoints saved, since cheaper capacity can be taken away mid-run.