High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Compare AI products across 459 workflows using traffic estimates, features, and alternatives.

“Open-source evaluation” · Coding & Development·514 results
Start overHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Open-source model and dataset hub with one-click online demos

Label any data. Evaluate any AI.

Agent observability, evaluation, and continuous improvement for production AI
Agent observability, evaluation, and continuous improvement for production AI

Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.
Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Run and build with open AI models locally or in the cloud
Evaluate every frontier model against your own workflows
Evaluate every frontier model against your own workflows

Google's family of lightweight, open-weight AI models

Open-source, OpenTelemetry-native observability and harness engineering for AI agents
Open-source, OpenTelemetry-native observability and harness engineering for AI agents

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

Ultra-fast AI inference on the LPU and LPX platform
Open-source, memory-efficient fine-tuning and local model running

Open-source workspace for building, evaluating and shipping AI agents
Open-source workspace for building, evaluating and shipping AI agents

Open-source AI gateway with observability and evals built in

Self-hosted AI workspace for local and cloud models
Self-hosted AI workspace for local and cloud models

Local-first desktop workspace and orchestration layer for AI coding agents
Local-first desktop workspace and orchestration layer for AI coding agents
Run, ensemble and train open AI models as your own specialized intelligence

One open-source AI gateway for 100+ LLM providers

Check which local AI models your GPU or Mac can actually run
Check which local AI models your GPU or Mac can actually run

Open-source database of AI models, prices and capabilities

The TypeScript framework for building, deploying, and observing AI agents

Open AI research for everyone — datasets, models and tools, free for all

Serverless, decentralized inference for open-source AI models