General Reasoning records 9,441 monthly visits with +68.5% month-over-month growth and Free pricing. TypeSafe AI - Jev records 6,148,688 monthly visits with -36.4% growth and Paid pricing.
Research lab training models that reason and coordinate over long horizons
Machine-native AI that returns typed, calibrated decisions for software automation
| Dimension / Metric | | |
|---|---|---|
| Official Domain | gr.inc | typesafe.ai |
| Pricing Model | Free | Paid |
| Monthly Visits | 9.44K (9,441) | 6.15M (6,148,688) |
| MoM Traffic Delta | +3.84K (+68.5%) | -3.51M (-36.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (26.4%) |
| Direct Visits / mo | 3.75K | 3.14M |
| User Rating | 4.2 | 4.2 |
| Supported Platforms | Website | Website |
Research lab training models that reason and coordinate over long horizons
Trains models that can communicate and coordinate as a team, with collective rather than individual reward signals.
Explores cooperative AI behaviour and safe scaling through multi-agent experiments and environment design.
Publishes model series and research artefacts so the wider community can build on the work.
Benchmarks that measure whether models stay coherent as situations change over long horizons.
Machine-native AI that returns typed, calibrated decisions for software automation
Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.
Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.
TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.
Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Free / Open-sourceAlibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.
Free / Open-sourceAlibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.
SpecialistOffers access to diverse foundational models through one API, but lacks specialized typed decision scoring and confidence metrics.
SpecialistOffers access to diverse foundational models through one API, but lacks specialized typed decision scoring and confidence metrics.
Free / Open-sourceDiscover, download and generate with open-source AI models for image, video and 3D.
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
SpecialistGoogle DeepMind's #1 frontier AI model (Gemini Carbon 4) for long-horizon agentic coding, cybersecurity defense, and 1M-token multimodal reasoning.
SpecialistGoogle DeepMind's #1 frontier AI model (Gemini Carbon 4) for long-horizon agentic coding, cybersecurity defense, and 1M-token multimodal reasoning.
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
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.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
