AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and scalable A
AI21 Labs is praised for its advanced AI capabilities, particularly in generating human-like text and providing robust language processing solutions. Users appreciate its innovative features but express concerns about occasional technical glitches and the learning curve associated with the platform. Pricing sentiment varies, with some users finding it reasonable for the offered features, while others suggest it could be more competitive. Overall, AI21 Labs maintains a solid reputation for its cutting-edge technology and contribution to AI advancements.
Mentions (30d)
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AI21 Labs is praised for its advanced AI capabilities, particularly in generating human-like text and providing robust language processing solutions. Users appreciate its innovative features but express concerns about occasional technical glitches and the learning curve associated with the platform. Pricing sentiment varies, with some users finding it reasonable for the offered features, while others suggest it could be more competitive. Overall, AI21 Labs maintains a solid reputation for its cutting-edge technology and contribution to AI advancements.
Features
Use Cases
Industry
information technology & services
Employees
280
Funding Stage
Series D
Total Funding
$728.5M
Pricing found: $10, $0.2 / 1m, $0.4 / 1m, $2 / 1m, $8 / 1m
| Model | Input / 1M tokens | Output / 1M tokens |
|---|---|---|
| jamba-1.5-large | $2.00 | $8.00 |
Light
1M tokens/mo
$4
jamba-1.5-large
Growth
50M tokens/mo
$220
jamba-1.5-large
Scale
500M tokens/mo
$2,200
jamba-1.5-large
Estimates assume 60/40 input/output ratio. Actual costs vary by usage pattern.
List of people at big-tech / professors / researchers who've jumped shit to launch their own AI labs for something Frontier/Foundational/AGI/Superintelligence/WorldModel
Note: gemini deep research -> rearranged/filtered ; valuation numbers likely not accurate but big point is quite mind blowing the number of researchers now with their own >100million/billion dolar values labs in quite a short time with a vague pitch and a maybe demo. Skipped perplexity/cursor/huggingface since they are with utility. Left some just for completion like black forest labs, synthesia, mistral since they have tanginble products. Skipped labs from china since they've been meaningfully killing it with their open source releases ───────────────────────────────────────────────────────── Safe Superintelligence Inc. (SSI) Founders:Ilya Sutskever (former OpenAI Chief Scientist), Daniel Gross, Daniel Levy Location & Founded:Palo Alto, USA & Tel Aviv, Israel | Founded: 2024 Funding / Valuation:$3B raised | Series A Description:Singularly focused on safely developing superintelligent AI that surpasses human capabilities. Deliberately avoids near-term commercial products to concentrate entirely on the technical challenge of safe superintelligence. ───────────────────────────────────────────────────────── Thinking Machine Labs Founders:Mira Murati (former OpenAI CTO), Barrett Zoph et al. Location & Founded:San Francisco, USA | Founded: 2025 Funding / Valuation:$2B seed | $12B valuation Description:Advance AI research and products that are customizable, capable, and safe for broad human-AI collaboration. Focused on frontier multimodal models with a strong safety and interpretability research agenda. ───────────────────────────────────────────────────────── Mistral AI Founders:Arthur Mensch, Guillaume Lample, Timothée Lacroix (former DeepMind & Meta FAIR) Location & Founded:Paris, France | Founded: 2023 Funding / Valuation:~€11.7B valuation | Series C Description:Develops open-weight and proprietary frontier language and multimodal foundation models. Champions openness and efficiency in AI development, with models like Mistral 7B and Mixtral widely adopted in enterprise and research settings. ───────────────────────────────────────────────────────── Advanced Machine Intelligence (AMI) Founders:Yann LeCun (Meta Chief AI Scientist), Alexandre LeBrun, Laurent Solly Location & Founded:Paris, France | Founded: 2026 Funding / Valuation:$3.5B pre-money valuation | Seed Description:Aims to build world-model AI systems capable of reasoning, planning, and operating safely in real-world environments — directly inspired by LeCun's 'world model' thesis as an alternative path to AGI beyond current LLM paradigms. ───────────────────────────────────────────────────────── World Labs Founders:Fei-Fei Li (Stanford AI Lab), Justin Johnson et al. Location & Founded:San Francisco, USA | Founded: 2023 Funding / Valuation:$230M raised | Series D Description:Build AI models that can perceive, generate, reason, and interact with 3D spatial worlds. Focused on large world models (LWMs) that go beyond language and flat images to understand physical space and context. ───────────────────────────────────────────────────────── Eureka Labs Founders:Andrej Karpathy (former Tesla AI Director & OpenAI co-founder) Location & Founded:Tel Aviv, Israel & Kraków, Poland | Founded: 2024 Funding / Valuation:$6.7M seed Description:Creating an AI-native educational platform integrating AI Teaching Assistants to radically scale personalised learning. Envisions a future where an AI teacher can guide anyone through any subject, starting with deep technical topics like neural networks. ───────────────────────────────────────────────────────── H Company Founders:Former DeepMind researchers Location & Founded:Paris, France | Founded: 2023 Funding / Valuation:€175.5M raised Description:Develops AI models to boost worker productivity through advanced agentic capabilities, with a long-term vision of achieving AGI. Focuses on models that can take sequences of actions and interact with digital environments. ───────────────────────────────────────────────────────── Poolside Founders:Jason Warner, Eiso Kant Location & Founded:Paris, France | Founded: 2023 Funding / Valuation:$500M | Series B Description:Building AI agents that autonomously generate production-grade code, framed as a stepping stone toward AGI. Believes that software engineering is a key domain for training and demonstrating general reasoning capabilities. ───────────────────────────────────────────────────────── CuspAI Founders:Max Welling (University of Amsterdam / Microsoft Research), Chad Edwards Location & Founded:Cambridge, UK | Founded: 2024 Funding / Valuation:$130M raised | Series A Description:Accelerating materials discovery using AI foundation models, aiming to power human progress through AI-driven science. Applies large generative models to the design and prediction of novel materials for energy, medicine, and manufacturing. ───────────────────────────────────────────────────────── Inception Founders:Stefano Ermon (Stanford) Locat
View originalYes, AI21 Labs offers a free tier. Pricing found: $10, $0.2 / 1m, $0.4 / 1m, $2 / 1m, $8 / 1m
Key features include: Industries, Accuracy, Adaptability, Transparency, Dive deeper, Elevating long-horizon agentic tasks with orchestrated Test-Time Compute, How to scale agentic evaluation: lessons from 200,000 SWE-bench runs, Design build reliable AI systems..
AI21 Labs is commonly used for: Natural language understanding for customer support, Content generation for marketing materials, Automated code review and suggestions, Data analysis and report generation, Personalized learning experiences in education, Sentiment analysis for social media monitoring.
AI21 Labs integrates with: AWS Lambda, Google Cloud Platform, Microsoft Azure, Slack, Zapier, Salesforce, Jira, Trello, Notion, Discord.
MCP Was Built for Tools, Not for Agents That Write
Feb 9, 2026
