Kaggle free tier includes Google's data science platform with free notebooks, datasets and competitions… Verified November 2026. Compare with 3 alternatives in AI / ML.

Kaggle Free Tier 2026

stable

Subtypes in AI / ML: gpu_compute — sells accelerator time for code you write; the unit billed is machine time, not a model call. 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.

Limits, pricing history, and 3 alternatives. Verified November 2026. Last updated 2026-11-06.

Kaggle's free tier offers Google's data science platform with free notebooks, datasets and competitions… It's stable — zero pricing changes recorded. Best for ai / ml workloads.

One of 89 AI / ML services we track. See our full AI / ML Free Tier Comparison →
Tier
Free
Category
Verified
2026-11-06
Last read
2026-11-06
The day we last read the vendor's page, and the day we last confirmed the terms we publish.

Free Tier Details

Google's data science platform with free notebooks, datasets and competitions. Notebooks get a weekly GPU quota of 30 hours, sometimes more depending on demand (one NVIDIA Tesla P100 or two Tesla T4s), and a TPU v3-8 for up to 20 hours per week. Sessions run up to 12 hours on CPU or GPU and 9 hours on TPU, with 20 GB of auto-saved disk in /kaggle/working. A CPU session has 4 CPU cores and 30 GB of RAM. A GPU session, with one P100 or two T4s, has 4 CPU cores and 29 GB of RAM. A TPU v3-8 session has 96 CPU cores and 330 GB of RAM. Free GPUs and TPUs may queue at busy times. Datasets are capped at 200 GB each and 200 GB of private datasets in total. Kaggle's one paid service is hosting a competition. The tools of Kaggle's MCP server include save_notebook (run with GPU or TPU), get_notebook_session_status, download_notebook_output and get_accelerator_quota (read weekly GPU and TPU usage). The Kaggle API also pushes a notebook version without the web editor. (From https://www.kaggle.com/docs/efficient-gpu-usage, read 2026-10-23.)

Kaggle runs its own MCP server. "Some resources, or endpoints require authorization. To unlock full access you can authorize using OAuth 2.0" (From https://www.kaggle.com/docs/mcp.md, read 2026-10-20.) The endpoint is https://www.kaggle.com/mcp, the transport is HTTP, and authentication uses OAuth 2.0, or a Kaggle API token (it begins "KGAT") in the header "Authorization: Bearer YOUR_TOKEN".

We read that on 2026-11-06 from https://www.kaggle.com/docs/efficient-gpu-usage, and our check recorded: the page names Kaggle as "kaggle" and states "30 hours".

From kaggle.com/docs/efficient-gpu-usage, read 2026-11-06:
Kaggle provides free access to NVIDIA TESLA P100 GPUs. These GPUs are useful for training deep learning models, though they do not accelerate most other workflows (i.e. libraries like pandas and scikit-learn do not benefit from access to GPUs). You can use up to a quota limit per week of GPU. The quota resets weekly and is 30 hours or sometimes higher depending on demand and resources

When You'll Outgrow Kaggle's Free Tier

Pricing Change History (0 recorded)

No recorded pricing changes for Kaggle. This is a good sign — stable pricing.

View all 513 pricing changes across all vendors →

Alternatives in AI / ML

How Kaggle compares against every one of the 3 we list, not against a selection of them. A surface with room for every member of a tied set may rotate their order. A surface with room for only some of them names none of them, because which ones it named would be the claim, and a claim seeded on the date is not the one we serve tomorrow. How we decide this.

Service Free Tier Stability
Kaggle Free stable
Google Colab Free
Hosted Jupyter notebooks with free access to GPUs and TPUs. In the free version, notebooks run for at most 12 hours, depending on availability and usage, and idle runtimes time out.
stable
Modal Free
Serverless platform for running CPU and GPU workloads. The Starter plan has no monthly fee and includes $30 of compute per month (GPU, CPU and memory), 3 workspace seats, 100 containers and 10 GPU concurrency.
caution
paperspace Free
ML platform (Gradient Notebooks, Workflows and Deployments) from Paperspace, now part of DigitalOcean. The Free plan is $0 with public projects, 5 GB of storage and free machines for Notebooks in your private workspace (Free CPU C4 and Free GPU M4000; free machines shut down after at most 6 hours).
stable

Left out of this list: Hugging Face (shares no subtype with this product), Groq (shares no subtype with this product), Google Gemini API (shares no subtype with this product), Mistral AI (shares no subtype with this product), OpenRouter (shares no subtype with this product), Cloudflare Workers AI (shares no subtype with this product), Cerebras (shares no subtype with this product), Cohere (shares no subtype with this product), Brave Search API (shares no subtype with this product), OpenAI (shares no subtype with this product), Pinecone (shares no subtype with this product), Qdrant (shares no subtype with this product), Deepgram (shares no subtype with this product), Roboflow (shares no subtype with this product), Scale AI (shares no subtype with this product), AssemblyAI (shares no subtype with this product), Replicate (shares no subtype with this product), Baseten (shares no subtype with this product), Weights & Biases (shares no subtype with this product), Comet ML (shares no subtype with this product), Clarifai (we have not classified this record), Neptune.ai (we have not classified this record), Labelbox (shares no subtype with this product), Composio (shares no subtype with this product), DeepAR (none of this category's subtypes apply), Maxim AI (shares no subtype with this product), OCR.Space (shares no subtype with this product), Parseur (shares no subtype with this product), Reducto (shares no subtype with this product), SerpApi (shares no subtype with this product), Tavily AI (shares no subtype with this product), Arize AX (shares no subtype with this product), Audio Enhancer (none of this category's subtypes apply), Braintrust (shares no subtype with this product), Clair (none of this category's subtypes apply), Keywords AI (shares no subtype with this product), Langfuse (shares no subtype with this product), LangSmith (shares no subtype with this product), Langtrace (we have not classified this record), LangWatch (shares no subtype with this product), Lumenfall.ai (shares no subtype with this product), Mediaworkbench.ai (none of this category's subtypes apply), Othor AI (none of this category's subtypes apply), Pollinations.AI (shares no subtype with this product), Portkey (shares no subtype with this product), ReportGPT (none of this category's subtypes apply), Zenable (none of this category's subtypes apply), xAI (shares no subtype with this product), Anthropic API (shares no subtype with this product), GitHub Models (shares no subtype with this product), NVIDIA NIM (shares no subtype with this product), Ollama Cloud (shares no subtype with this product), LLM7.io (shares no subtype with this product), SiliconFlow (shares no subtype with this product), Zhipu AI (shares no subtype with this product), DeepSeek API (shares no subtype with this product), MiniMax (shares no subtype with this product), Exa (shares no subtype with this product), GPU-Bridge (we have not classified this record), Google Vertex AI Agent Engine (we have not classified this record), Google Vector Search 2.0 (shares no subtype with this product), Google Gemini Embedding 2 (shares no subtype with this product), Alibaba Cloud Qwen Code (none of this category's subtypes apply), E2B (shares no subtype with this product), Together AI (shares no subtype with this product), Fireworks AI (shares no subtype with this product), ElevenLabs (we have not classified this record), Stability AI (we have not classified this record), Daytona (shares no subtype with this product), Blaxel (shares no subtype with this product), Novita Sandbox (shares no subtype with this product), Runloop (shares no subtype with this product), Mem0 (shares no subtype with this product), Zep (shares no subtype with this product), Letta (we have not classified this record), Supermemory (shares no subtype with this product), Cognee (shares no subtype with this product), Serper (shares no subtype with this product), Linkup (shares no subtype with this product), Parallel (shares no subtype with this product), Jina AI (shares no subtype with this product), You.com (shares no subtype with this product), Hetzner Inference API (shares no subtype with this product), Cloudflare AI Search (we have not classified this record), Valyu (shares no subtype with this product). Each is still listed in AI / ML, with the vendor's own words we read that from on its page. How we decide this.

See full comparison →

Recompute today's order yourself. The order above is a permutation seeded only on the UTC date and the query key — no vendor name, slug, id or offer field is an input. The list above is every one of the 3 entries in that order, not a prefix of it. The algorithm is published, so anyone can reproduce this page's order without asking us.
date
2026-11-14
query_key
alternatives:AI / ML:Kaggle
seed
0c042cc9c332f8897c298489edd933482e9eeff4e86b2bf6fd1cede978d51487
tie_count
3

Watch Kaggle for Pricing Changes

We do not push notifications. Every change we record is readable the moment it lands, and the JSON answer carries an ETag — send it back as If-None-Match and an unchanged answer costs one 304.

curl https://agentdeals.dev/api/changes?vendor=Kaggle curl https://agentdeals.dev/pricing-changes/feed.xml?vendor=Kaggle

API docs →

Frequently Asked Questions

Is Kaggle free?
Yes, Kaggle offers a free tier: Free. Google's data science platform with free notebooks, datasets and competitions. Notebooks get a weekly GPU quota of 30 hours, sometimes more depending on demand (one NVIDIA Tesla P100 or two Tesla T4s)... Kaggle runs its own MCP server. "Some resources, or endpoints require authorization. To unlock full access you can authorize using OAuth 2.0" (From https://www.kaggle.com/docs/mcp.md, read 2026-10-20.) The endpoint is https://www.kaggle.com/mcp, the transport is HTTP, and authentication uses OAuth 2.0, or a Kaggle API token (it begins "KGAT") in the header "Authorization: Bearer YOUR_TOKEN".
What is Kaggle's free tier?
Kaggle's free tier is called "Free". Google's data science platform with free notebooks, datasets and competitions. Notebooks get a weekly GPU quota of 30 hours, sometimes more depending on demand (one NVIDIA Tesla P100 or two Tesla T4s), and a TPU v3-8 for up to 20 hours per week. Sessions run up to 12 hours on CPU or GPU and 9 hours on TPU, with 20 GB of auto-saved disk in /kaggle/working. A CPU session has 4 CPU cores and 30 GB of RAM. A GPU session, with one P100 or two T4s, has 4 CPU cores and 29 GB of RAM. A TPU v3-8 session has 96 CPU cores and 330 GB of RAM. Free GPUs and TPUs may queue at busy times. Datasets are capped at 200 GB each and 200 GB of private datasets in total. Kaggle's one paid service is hosting a competition. The tools of Kaggle's MCP server include save_notebook (run with GPU or TPU), get_notebook_session_status, download_notebook_output and get_accelerator_quota (read weekly GPU and TPU usage). The Kaggle API also pushes a notebook version without the web editor. (From https://www.kaggle.com/docs/efficient-gpu-usage, read 2026-10-23.). Kaggle's terms limit use of its services to your own internal, personal, non-commercial use, not on behalf of or for the benefit of any third party. (From https://www.kaggle.com/terms, read 2026-10-04.) Kaggle requires phone verification for parts of its platform, including notebooks, datasets, discussion topics and competitions. (From https://www.kaggle.com/discussions/product-announcements/558078, read 2026-10-04.) Linking an active Colab Pro or Pro+ subscription to a Kaggle account adds 15 or 30 GPU hours a week, respectively, as a limited-time promotion that Kaggle can end at any time. (From https://www.kaggle.com/docs/notebooks, read 2026-10-08.) Once Kaggle's weekly GPU quota is used, no more GPU time is available until the quota resets. The quota resets weekly. (From https://www.kaggle.com/docs/efficient-gpu-usage, read 2026-10-29.) Kaggle suggests Google Cloud AI Notebooks for users needing more compute. These notebooks run under your Google Cloud project and can be configured with your choice of virtual machine and accelerators, without Kaggle's limits. (From https://www.kaggle.com/docs/notebooks, read 2026-10-29.) Kaggle's interactive notebook sessions end after 20 minutes of idle time. Save & Run All runs the entire notebook in a separate session. That session must complete within 12 hours, or 9 hours for TPU notebooks. (From https://www.kaggle.com/docs/notebooks, read 2026-11-03.) New Kaggle notebooks have the Internet setting on by default. Pip installs are possible. Kaggle saves up to 20 GB of output in /kaggle/working. This data is reusable in later notebooks. Other disk space is scratch and not saved after the session. (From https://www.kaggle.com/docs/notebooks, read 2026-11-03.) New Kaggle notebooks are private by default. Datasets are Private by default. They are visible only to the owner, collaborators, and Kaggle for purposes consistent with its Privacy Policy. Public datasets are visible to everyone. (From https://www.kaggle.com/docs/datasets, read 2026-11-03.) Kaggle runs its own MCP server. "Some resources, or endpoints require authorization. To unlock full access you can authorize using OAuth 2.0" (From https://www.kaggle.com/docs/mcp.md, read 2026-10-20.) The endpoint is https://www.kaggle.com/mcp, the transport is HTTP, and authentication uses OAuth 2.0, or a Kaggle API token (it begins "KGAT") in the header "Authorization: Bearer YOUR_TOKEN".
Is Kaggle's free tier reliable?
Kaggle's free tier is considered stable.
Is Kaggle's free tier good for production?
Kaggle's free tier is not for commercial use, by Kaggle's own terms: "You will only use the Services for your own internal, personal, non-commercial use, and not on behalf of or for the benefit of any third party" (From kaggle.com/terms, read 2026-10-04.) Personal, non-commercial use of the free tier is still allowed. We rate Kaggle's pricing stable. This rating is about how its terms have changed, not what they allow. For commercial use, consider free alternatives in AI / ML.
What changed in Kaggle's pricing?
No, Kaggle has had no recorded pricing changes. This is a positive stability signal.
What are the best free alternatives to Kaggle?
We publish no ranking of these. Nothing we record measures popularity or generosity, so naming a best or a top few would be our preference rather than our data. We hold 3 free alternatives to Kaggle in AI / ML, each listed above with its tier. Of those, 3 carry no recorded demerit and are indistinguishable under every signal we hold, so they are listed in an order that rotates daily. Our ranking rule is published at /criteria.
When will I outgrow Kaggle's free tier?
Once Kaggle's weekly GPU quota is used, no more GPU time is available until the quota resets. The 3 alternatives in AI / ML are each listed above with the free tier they offer.
What category is Kaggle in?
Kaggle is categorized under AI / ML on AgentDeals. We list 3 other AI / ML services alongside it, every one of them on this page with its free tier and the stability we publish for it.