Best Free AI / ML Tools

Vector database — 2 GB storage, 2M write units/month, 1M read units/month, 5 indexes, 5M embedding tokens/month. Pinecone Assistant: 100 docs / 1 GB

Labelled embeddings_api. We read that on 2026-09-01 from https://pinecone.io/pricing, where it says: “Inference - Embedding llama-text-embed-v2 5M tokens/mo included”. How we use this

ML platform (now part of DigitalOcean). Free Gradient plan: public projects and 5 GB storage only. No free compute — all GPU and CPU instances are billed hourly. Paid plans from $8/month.

Labelled gpu_compute. We read that on 2026-09-01 from https://www.paperspace.com/pricing, where it says: “Instances outside of the free-tier are billed per hour at their hourly rate”. How we use this

Data science platform (Google) — entirely free: 30 hrs/week GPU compute (NVIDIA Tesla P100), 20 hrs/week TPU with a 9-hour cap per session, 20 GB working disk per session. Unlimited public notebooks, datasets, and competitions Best for unlimited usage needs.

Labelled gpu_compute. We read that on 2026-09-01 from https://www.kaggle.com/docs/notebooks, where it says: “a cloud computational environment that enables reproducible and collaborative analysis”. How we use this

easy-to-use, free image generation AI with free API available. No signups or API keys required, and several option for integrating into a website or workflow. [#opensource](https://github.com/pollinations/pollinations)

Labelled image_video_generation. We read that on 2026-09-01 from https://pollinations.ai/, where it says: “Generate images, text, audio and video with state-of-the-art AI models”. How we use this

AI media gateway providing unified access to leading image generation models via an OpenAI-compatible API. The platform itself is free to use with zero markup and no subscription fee. Inference costs for most models are billed at provider price, but FLUX.1 [schnell] FP8 is offered free forever with unlimited usage for registered users. Built-in failover and provider resilience included. Best for unlimited usage needs.

Labelled image_video_generation. We read that on 2026-09-01 from https://lumenfall.ai/, where it says: “The Unified API for AI Image and Video Generation”. How we use this

API for online search and rapid insights and comprehensive research, with the capability of organization of research results. 1000 request/month for the Free tier with No credit card required.

Labelled web_search_api. We read that on 2026-09-01 from https://tavily.com/, where it says: “Fast and secure APIs for web search and content extraction”. How we use this

Superseded: As of 2026-09-03, exa.ai/pricing reads: Starter Free $20 credits on sign-up with $10 credits every month. No payment method required Includes: Free $10 credits per month MCP server access Claude Connector ChatGPT plugin 50+ integrations Access to all endpoints 5 Search Queries Per Second (QPS). We are not publishing our stored Exa terms beside it — our own pricing change record, discovered 2026-09-03, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-03: The free tier now offers $20 in credits on sign-up with $10/month, and 5 Search Queries Per Second (QPS). Previously 1,000 free searches/month with an API key, and no API key was required for x402. Source ↗

Labelled web_search_api. We read that on 2026-09-01 from https://exa.ai/pricing, where it says: “Exa is a modern AI search engine with SERP API, website crawler tools, and deep research API”. How we use this

AI media gateway providing unified access to leading image generation models via an OpenAI-compatible API. The platform itself is free to use with zero markup and no subscription fee. Inference costs for most models are billed at provider price, but FLUX.1 [schnell] FP8 is offered free forever with unlimited usage for registered users. Built-in failover and provider resilience included. Best for unlimited usage needs.

Labelled model_gateway. We read that on 2026-09-01 from https://lumenfall.ai/, where it says: “unified access to the top image and video models across leading providers”. How we use this

Rebranded to Respan; keywordsai.co redirects to respan.ai. Free plan: full platform, 100k logs, 1k scores, 5 datasets, 2 evaluators, 5 prompts. No credit card required.

Labelled model_gateway. We read that on 2026-09-02 from https://www.respan.ai, where it says: “Point the SDK you already use at one endpoint to reach 1,000+ models”. How we use this

ML model hub — $0.10/month free inference credits, 200+ models via Inference Providers, unlimited model hosting on Hub Best for unlimited usage needs.

Labelled model_gateway. We read that on 2026-09-01 from https://huggingface.co/docs/inference-providers/pricing, where it says: “route requests through Hugging Face”. How we use this

Superseded: As of 2026-09-07, openrouter.ai/pricing reads: Free tier includes 25+ free models, 4 free providers, 50 reqs/day rate limit, $25,000 of list price inference / month with no fees, 5% fee after that. We are not publishing our stored OpenRouter terms beside it — our own pricing change record, discovered 2026-09-07, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-07: The free tier now has a rate limit of 50 requests/day, and offers access to 25+ free models and 4 free providers. Previously ~30 free models and ~20 RPM per model. There is also a $25,000/month inference limit with no fees, followed by a 5% fee. Source ↗

Labelled model_gateway. We read that on 2026-09-01 from https://openrouter.ai/pricing, where it says: “Pay only for what you use with access to 500+ AI models”. How we use this

Control panel for Gen AI apps featuring an observability suite & an AI gateway. Send & log up to 10,000 requests for free every month.

Labelled model_gateway. We read that on 2026-09-01 from https://portkey.ai/, where it says: “Portkey is now PRISMA AIRS AI Gateway”. How we use this

UK-based free LLM inference gateway. Free tier supported by donors — access to 30+ models including DeepSeek R1, Qwen2.5 Coder, text, image, and speech-to-text models. No published rate limits on free tier.

Labelled model_gateway. We read that on 2026-09-01 from https://llm7.io, where it says: “Connect to leading AI models with one endpoint”. How we use this

Simulate, evaluate, and observe your AI agents. Maxim is an end-to-end evaluation and observability platform, helping teams ship their AI agents reliably and >5x faster. Free forever for indie developers and small teams (3 seats). Best for startups.

Labelled model_gateway. We read that on 2026-09-01 from https://getmaxim.ai/, where it says: “The fastest, most resilient, enterprise-grade LLM, MCP, and agent gateway”. How we use this

ML platform (now part of DigitalOcean). Free Gradient plan: public projects and 5 GB storage only. No free compute — all GPU and CPU instances are billed hourly. Paid plans from $8/month.

Labelled model_hosting. We read that on 2026-09-01 from https://www.paperspace.com/pricing, where it says: “Deployments (inference) - Model Repository”. How we use this

ML model hub — $0.10/month free inference credits, 200+ models via Inference Providers, unlimited model hosting on Hub Best for unlimited usage needs.

Labelled model_hosting. We read that on 2026-09-01 from https://huggingface.co/docs/inference-providers/pricing, where it says: “Inference Endpoints (dedicated)”. How we use this

Superseded: As of 2026-08-28, roboflow.com/pricing reads: Public plan is free, requires no credit card, and includes 15 credits / month, 2 users, and Community Support. Data and models are open source on Roboflow Universe. We are not publishing our stored Roboflow terms beside it — our own pricing change record, discovered 2026-08-28, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-08-28: The free Public plan now offers 15 credits/month instead of 250,000 images, 10 projects, 2 users, and $60/month free inference credits. Source ↗

Labelled model_hosting. We read that on 2026-09-01 from https://roboflow.com/pricing, where it says: “Data labeling suite w/ AI features Model training Workflow builder Cloud hosted deployment”. How we use this

ML model hosting and inference platform — free runs on curated model collection without billing. Pay-per-second billing by hardware type (CPU/GPU) after free allowance. No credit card required to start

Labelled model_hosting. We read that on 2026-09-01 from https://replicate.com/pricing, where it says: “Thousands of open-source machine learning models have been contributed”. How we use this

Evals, prompt playground, and data management for Gen AI. Starter plan (free): 1 GB processed data/month, 10k scores/month, 14 days data retention. Unlimited users, projects, datasets, playgrounds, and experiments. Overage: $4/GB data, $2.50 per 1k scores. Best for unlimited usage needs.

Labelled llm_evaluation. We read that on 2026-09-01 from https://www.braintrust.dev/pricing, where it says: “Transparent pricing for AI evaluation, monitoring, and observability”. How we use this

Superseded: As of 2026-09-01, langchain.com/pricing reads: Developer plan is $0/seat/month with up to 5k base traces/month, then pay-as-you-go. LCU is $1.50/unit and LSU is $1.00/unit. Plus plan is $39/seat/month with up to 10k base traces/month, then pay-as-you-go. We are not publishing our stored LangSmith terms beside it — our own pricing change record, discovered 2026-09-01, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-01: The free tier now includes pay-as-you-go pricing for traces beyond 5k/month, and introduces LCUs and LSUs for additional costs related to compute and storage. Source ↗

Labelled llm_evaluation. We read that on 2026-09-01 from https://www.langchain.com/pricing, where it says: “Evaluation Score and improve agent performance”. How we use this

Rebranded to Respan; keywordsai.co redirects to respan.ai. Free plan: full platform, 100k logs, 1k scores, 5 datasets, 2 evaluators, 5 prompts. No credit card required.

Labelled llm_evaluation. We read that on 2026-09-02 from https://www.respan.ai, where it says: “Route, observe, and evaluate every LLM call”. How we use this

A LLMOps platform helping AI teams measure, monitor, and optimize LLM applications for reliability, cost-efficiency, and performance. With a powerful DSPy component, we enable seamless collaboration between engineers and non-technical teams to fine-tune and productionize GenAI products. Free plan includes all platform features, 1k traces/month and 1 workflow DSPy optimizers. [#opensource](https://github.com/langwatch/langwatch)

Labelled llm_evaluation. We read that on 2026-09-01 from https://langwatch.ai, where it says: “AI agent testing and evaluation that turns unpredictable agents into reliable production systems”. How we use this

AI engineering platform for evaluating and observing AI applications and agents. AX Free plan: 25K trace spans/month, 1 GB ingestion/month, 15 days data retention. Includes online evals, product observability, built-in Alyx agent, and community support.

Labelled llm_evaluation. We read that on 2026-09-01 from https://arize.com/pricing, where it says: “Trace, evaluate, and improve your agents”. How we use this

Superseded: As of 2026-08-28, comet.com/site/pricing reads: There are multiple free options: 'Free' (Open Source GitHub), 'Free Cloud' (up to 10 team members, 25k spans per month, 60-day data retention), and a 'Free' plan for academics. The 'Free Cloud' plan includes Agent tracing & analysis, Test Suites & assertions, and Agent Playground. We are not publishing our stored Comet ML terms beside it — our own pricing change record, discovered 2026-08-28, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-08-28: The free tier is now limited to 25k spans per month with 60-day data retention, and focuses on observability and agent testing. There is also a separate 'Free Cloud' plan with different limits (up to 10 team members, 25k spans, 60-day retention) and a 'Free' open-source option. A free pro plan for academics is mentioned as 'New!'. Source ↗

Labelled llm_evaluation. We read that on 2026-09-01 from https://www.comet.com/site/pricing/, where it says: “Systematically test your AI application over an entire dataset”. How we use this

Open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. Free forever plan includes 50k observations per month and all platform features. [#opensource](https://github.com/langfuse/langfuse)

Labelled llm_evaluation. We read that on 2026-09-01 from https://langfuse.com/, where it says: “Evaluation LLM-as-a-judge, heuristic functions, or human review. Run evaluators on production data or during experiments.”. How we use this

Integration platform for AI Agents and LLMs. Integrate over 200+ tools across the agentic internet. Best for open source projects.

Labelled agent_tool_access. We read that on 2026-09-01 from https://composio.dev/, where it says: “secure delegated auth, sandboxed environments, and parallel execution across 1,000+ apps”. How we use this

20 free pages/month: Extract data from PDFs, emails. AI powered. Full API access.

Labelled document_extraction. We read that on 2026-09-01 from https://parseur.com, where it says: “automate text extraction from PDFs, emails, and other documents”. How we use this

An OCR API parses image and pdf files that return the text results in JSON format. 25,000 requests per month are free and a 1MB file size limit.

Labelled document_extraction. We read that on 2026-09-01 from https://ocr.space/, where it says: “Web API to extract text from images and convert scans to searchable PDF”. How we use this

Turn any unstructured documents (PDF, XLSX, JPG, PPTX, etc.) into structured JSON data. Parse, extract data, and edit PDF forms. Free tier with 15k free credits and pay-as-you-go.

Labelled document_extraction. We read that on 2026-09-01 from https://reducto.ai, where it says: “Reducto's parser reads documents like a human would”. How we use this

Speech-to-text and audio intelligence API — free: $50 in credits (~185 hours pre-recorded transcription). Up to 5 concurrent streams. Core STT and Audio Intelligence models. Pay-as-you-go at $0.15/hr after

Labelled speech_api. We read that on 2026-09-01 from https://www.assemblyai.com/pricing, where it says: “Pre-recorded Speech-to-Text API”. How we use this

Superseded: As of 2026-09-03, wandb.ai/site/pricing reads: The free tier is $0/mo and includes 1 user seat, experiment tracking, registry & lineage tracking, and is for personal projects only. Corporate use is not allowed. We are not publishing our stored Weights & Biases terms beside it — our own pricing change record, discovered 2026-09-03, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-03: The free tier now explicitly states it's for personal development and prohibits corporate use. It includes 1 user seat, 5GB of storage, and up to 5 model seats. The page also details Pro and Enterprise tiers with associated costs and features. Source ↗

Labelled experiment_tracking. We read that on 2026-09-01 from https://wandb.ai/site/, where it says: “Experiments Track and visualize your experiments”. How we use this

Superseded: As of 2026-08-28, comet.com/site/pricing reads: There are multiple free options: 'Free' (Open Source GitHub), 'Free Cloud' (up to 10 team members, 25k spans per month, 60-day data retention), and a 'Free' plan for academics. The 'Free Cloud' plan includes Agent tracing & analysis, Test Suites & assertions, and Agent Playground. We are not publishing our stored Comet ML terms beside it — our own pricing change record, discovered 2026-08-28, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-08-28: The free tier is now limited to 25k spans per month with 60-day data retention, and focuses on observability and agent testing. There is also a separate 'Free Cloud' plan with different limits (up to 10 team members, 25k spans, 60-day retention) and a 'Free' open-source option. A free pro plan for academics is mentioned as 'New!'. Source ↗

Labelled experiment_tracking. We read that on 2026-09-01 from https://www.comet.com/site/pricing/, where it says: “Track and compare machine learning training runs Dataset management and versioning Model Registry”. How we use this

Evals, prompt playground, and data management for Gen AI. Starter plan (free): 1 GB processed data/month, 10k scores/month, 14 days data retention. Unlimited users, projects, datasets, playgrounds, and experiments. Overage: $4/GB data, $2.50 per 1k scores. Best for unlimited usage needs.

Labelled llm_observability. We read that on 2026-09-01 from https://www.braintrust.dev/pricing, where it says: “Free usage is included for traces, evals, and your whole team”. How we use this

Superseded: As of 2026-09-01, langchain.com/pricing reads: Developer plan is $0/seat/month with up to 5k base traces/month, then pay-as-you-go. LCU is $1.50/unit and LSU is $1.00/unit. Plus plan is $39/seat/month with up to 10k base traces/month, then pay-as-you-go. We are not publishing our stored LangSmith terms beside it — our own pricing change record, discovered 2026-09-01, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-01: The free tier now includes pay-as-you-go pricing for traces beyond 5k/month, and introduces LCUs and LSUs for additional costs related to compute and storage. Source ↗

Labelled llm_observability. We read that on 2026-09-01 from https://www.langchain.com/pricing, where it says: “Observability See exactly what your agents are doing”. How we use this

Rebranded to Respan; keywordsai.co redirects to respan.ai. Free plan: full platform, 100k logs, 1k scores, 5 datasets, 2 evaluators, 5 prompts. No credit card required.

Labelled llm_observability. We read that on 2026-09-02 from https://www.respan.ai, where it says: “Observe calls in traces, watch spend in metrics, and run evals”. How we use this

A LLMOps platform helping AI teams measure, monitor, and optimize LLM applications for reliability, cost-efficiency, and performance. With a powerful DSPy component, we enable seamless collaboration between engineers and non-technical teams to fine-tune and productionize GenAI products. Free plan includes all platform features, 1k traces/month and 1 workflow DSPy optimizers. [#opensource](https://github.com/langwatch/langwatch)

Labelled llm_observability. We read that on 2026-09-01 from https://langwatch.ai, where it says: “simulations, evals, observability, and governance”. How we use this

AI engineering platform for evaluating and observing AI applications and agents. AX Free plan: 25K trace spans/month, 1 GB ingestion/month, 15 days data retention. Includes online evals, product observability, built-in Alyx agent, and community support.

Labelled llm_observability. We read that on 2026-09-01 from https://arize.com/pricing, where it says: “Arize AX is the AI native platform for agent observability”. How we use this

Control panel for Gen AI apps featuring an observability suite & an AI gateway. Send & log up to 10,000 requests for free every month.

Labelled llm_observability. We read that on 2026-09-01 from https://portkey.ai/, where it says: “Monitor LLM behavior, catch anomalies early”. How we use this

Superseded: As of 2026-08-28, comet.com/site/pricing reads: There are multiple free options: 'Free' (Open Source GitHub), 'Free Cloud' (up to 10 team members, 25k spans per month, 60-day data retention), and a 'Free' plan for academics. The 'Free Cloud' plan includes Agent tracing & analysis, Test Suites & assertions, and Agent Playground. We are not publishing our stored Comet ML terms beside it — our own pricing change record, discovered 2026-08-28, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-08-28: The free tier is now limited to 25k spans per month with 60-day data retention, and focuses on observability and agent testing. There is also a separate 'Free Cloud' plan with different limits (up to 10 team members, 25k spans, 60-day retention) and a 'Free' open-source option. A free pro plan for academics is mentioned as 'New!'. Source ↗

Labelled llm_observability. We read that on 2026-09-01 from https://www.comet.com/site/pricing/, where it says: “Full AI observability & agent testing feature set”. How we use this

Open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. Free forever plan includes 50k observations per month and all platform features. [#opensource](https://github.com/langfuse/langfuse)

Labelled llm_observability. We read that on 2026-09-01 from https://langfuse.com/, where it says: “Trace, evaluate, and improve AI agents with one open platform”. How we use this

Cloud-hosted Ollama for running open-source LLMs — free tier for light usage with 1 concurrent model. Access Llama, Mistral, Gemma, and other open models via API

Labelled llm_api. We read that on 2026-09-01 from https://ollama.com, where it says: “Ollama lets you use open models with your coding agents”. How we use this

Free inference for open-source models with 100 requests/day limit and $1 free credits. Supports DeepSeek-R1, DeepSeek-V3, QwQ-32B, and other open-source models. China-based provider.

Labelled llm_api. We read that on 2026-09-01 from https://siliconflow.cn, where it says: “硅基流动（SiliconFlow）专注于提供高效能、低成本的多品类 AI 模型服务”. How we use this

Superseded: As of 2026-09-01, developers.cloudflare.com/workers-ai/platform/pricing reads: Workers AI has a free tier with 10,000 Neurons per day. Usage above this is $0.011 / 1,000 Neurons. Some models require a paid plan or AI Gateway credits. We are not publishing our stored Cloudflare Workers AI terms beside it — our own pricing change record, discovered 2026-09-01, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-01: The pricing has been restructured. While a free tier of 10,000 Neurons per day still exists, the pricing is now more granular and based on per-model unit pricing, billed in Neurons at $0.011 / 1,000 Neurons. Some models now require a paid plan or AI Gateway credits. Source ↗

Labelled llm_api. We read that on 2026-09-01 from https://developers.cloudflare.com/workers-ai/platform/pricing/, where it says: “prepaid AI Gateway credits to pay for Workers AI inference”. How we use this

Free serverless APIs for LLM inference — access Llama 3.1, Mistral, and NVIDIA models. Free tier: ~40 RPM, 1,000 free API credits. No credit card required for development

Labelled llm_api. We read that on 2026-09-01 from https://build.nvidia.com, where it says: “Experience the leading models to build enterprise generative AI apps now”. How we use this

Ultra-fast LLM inference on LPU hardware — free tier: 30 RPM, 100K-500K tokens/day depending on model. Supports Llama 4 Scout 17B, Llama 3.3 70B, Qwen3 32B, Whisper, and more. No credit card required

Labelled llm_api. We read that on 2026-09-01 from https://groq.com/pricing, where it says: “One fully integrated platform for infrastructure, inference, and control”. How we use this

Free tier for GLM-4 series models. 20 million tokens welcome package plus permanently free Flash models (GLM-4.7-Flash, GLM-4.5-Flash, GLM-4.6V-Flash) with no rate limits or expiration. China-based, function calling support.

Labelled llm_api. We read that on 2026-09-01 from https://open.bigmodel.cn, where it says: “研发了多款LLM模型，多模态视觉模型产品”. How we use this

Ultra-fast LLM inference API. Free tier: 1M tokens/day, 10-30 requests/min (varies by model). Models include Llama 3.1 8B, Qwen 3 235B, GPT-OSS 120B. Multi-thousand tokens/sec inference speed Best for open source projects.

Labelled llm_api. We read that on 2026-09-01 from https://cerebras.ai/, where it says: “Cerebras powers the world's fastest AI inference”. How we use this

Free plan includes $10/mo in API credits and access to Mistral models in Studio, alongside limited messages, web searches and coding sessions. Paid API rates start at $0.5/M input and $1.5/M output tokens for Mistral Large; batch processing halves the price and cached input tokens cost up to 90% less. Note — discovered 2026-09-03: The free tier is no longer an API allowance of 2 RPM and 1B tokens a month across all models. It now carries limited messages, web searches and image generations in Vibe, plus access to Mistral Studio. $10 a month in API credits is sold separately. Source ↗

Labelled llm_api. We read that on 2026-09-01 from https://mistral.ai/pricing, where it says: “Frontier-scale infrastructure for training and inference”. How we use this

Superseded: As of 2026-08-28, roboflow.com/pricing reads: Public plan is free, requires no credit card, and includes 15 credits / month, 2 users, and Community Support. Data and models are open source on Roboflow Universe. We are not publishing our stored Roboflow terms beside it — our own pricing change record, discovered 2026-08-28, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-08-28: The free Public plan now offers 15 credits/month instead of 250,000 images, 10 projects, 2 users, and $60/month free inference credits. Source ↗

Labelled data_labeling. We read that on 2026-09-01 from https://roboflow.com/pricing, where it says: “Label images fast with AI-assisted data annotation”. How we use this

Data labeling and AI data platform — free tier: first 1,000 annotation units and 10,000 images uploaded free. Nucleus free tier for individuals and academia. Pay-as-you-go after free allocation

Labelled data_labeling. We read that on 2026-09-01 from https://scale.com/pricing, where it says: “find the right plan for your AI and data labeling projects”. How we use this

Vector database — 2 GB storage, 2M write units/month, 1M read units/month, 5 indexes, 5M embedding tokens/month. Pinecone Assistant: 100 docs / 1 GB

Labelled vector_store. We read that on 2026-09-01 from https://www.pinecone.io/, where it says: “Pinecone is a fully managed vector database built for AI. Writes are instantly searchable, indexing is automatic, and queries stay fast at any scale.”. How we use this

Vector database — 1 GB free forever cluster, fully managed on AWS/GCP/Azure. Unlimited users, backups included. No credit card required Best for unlimited usage needs.

Labelled vector_store. We read that on 2026-09-01 from https://qdrant.tech/pricing/, where it says: “Scale to production with fully managed vector search”. How we use this

Clinical AI Reference. Students have free access to the professional tool suite, which includes Open Search, Clinical Summary, Med Review, Drug Interactions, ICD-10 Codes, and Stewardship. Additionally, a free trial for the professional suite is available. Best for students.

AI Powered Writing Assistant. The entire platform is free as long as you bring your own API key.

AI-powered audio enhancer SaaS that removes noise and echo while preserving natural vocal clarity. totally Free: unlimited one-click enhancements, no login required, supports MP3/WAV/FLAC Best for unlimited usage needs.

Augmented reality face filters for any platform with one SDK. The free plan provides up to 10 monthly active users (MAU) and tracks up to 4 faces

Qwen Code free tier reduced to 100 requests/day (from 1,000). Full access requires Coding Plan Pro ($50/month). AI coding assistant based on Qwen LLM family. Note — 2026-04-15: Free tier reduced from 1,000 to 100 daily requests. Full access now requires Coding Plan Pro ($50/month). Source ↗

An AI-native fast, simple, and secure alternative to popular business intelligence solutions like Tableau, Power BI, and Looker. Othor utilizes large language models (LLMs) to deliver custom business intelligence solutions in minutes. The Free Forever plan provides one workspace with five datasource connections for one user, with no limits on analytics. [#opensource](https://github.com/othorai/othor.ai) Best for unlimited usage needs.

Social media scheduling, publishing and analytics. Free plan at $0/month. The pricing page states no per-plan entitlements: the feature list shown is identical for all four plans. Note — discovered 2026-09-01: The product at this domain changed. The previous state described 100,000 free words across Azure OpenAI, DeepSeek and Gemini; the page is now a social media scheduling tool and carries none of those terms. A free plan remains at $0/month. Source ↗

Superseded: As of 2026-09-01, zenable.io reads: Free accounts get 15 PR reviews/week and 100 agentic reviews/day. We are not publishing our stored Zenable terms beside it — our own pricing change record, discovered 2026-09-01, names them as the previous ones. Read what we recorded ↓ Note — discovered 2026-09-01: The free tier now includes 15 PR Reviews/Week and 100 Agentic Code Review Credits/Day, down from 25 PR reviews and 100 tool calls. Source ↗