Best Free Google Colab Alternatives in 2026
Colab's free tier is generous and completely unspecified: no published GPU quota, no promised card, no guarantee the session survives the next hour. These 5 alternatives are compared on the allowance each vendor actually puts in writing.
Quick Answer
The best free Colab alternative depends on which part of the free tier is failing you:
- You never know how much GPU you get: Kaggle — 30 hours a week, published
- The free GPU is too weak: Hugging Face Spaces — free ZeroGPU, up to 96 GB VRAM
- You want to choose how to spend the allowance: Modal — $30/month of compute on the free plan
- You are two people in one notebook: Deepnote
- The session keeps dying mid-run: Vast.ai — paid, but nothing reclaims the machine
- You were about to buy Colab Pro: it is $9.99/mo, and Hugging Face PRO is $9/mo
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What Colab's Free Tier Actually Gives You
Colab's paid tiers are published plainly: Colab Pro is $9.99/month and Pro+ is $49.99/month (read from Google's own signup page on 2026-09-28). The free tier is the part nobody can quote, because Google does not state it. There is no published quota, no committed GPU model, and no guaranteed session length — the free tier is explicitly best-effort spare capacity, allocated and reclaimed at Google's discretion.
In practice that is still a lot of free compute, and on raw generosity Colab is hard to beat. The problem is that you cannot plan against it. A run that finished in 40 minutes yesterday may not get a GPU at all today, and the only remedy Google offers is the $9.99 upgrade. Every alternative below is here because it fixes one specific part of that: it tells you the number, it gives you a better card, it lets you spend the allowance how you want, or it stops reclaiming the machine.
One thing to rule out first: if your complaint is simply volume, Kaggle's 30 hours a week may be less than Colab quietly gives you on a good week. The reason to move is predictability, not more.
Top 5 Free Google Colab Alternatives
Kaggle
Best Published QuotaThe only platform here that publishes its free GPU quota as a number — 30 hours a week
Best for: Anyone who was on Colab free and needs to know in advance how much GPU time they actually get
✓ Strengths
- •Kaggle's own docs state the quota in writing: "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" — Colab's free tier states no quota anywhere
- •Same Jupyter interface, same pre-installed ML stack, so a Colab notebook usually runs unchanged
- •Free TPU quota on top of the GPU quota, which on Colab is a Pro-tier consideration
- •No paid upsell at all — there is no Kaggle Pro to be nudged toward mid-session
- •Datasets and public notebooks are first-class, so you are not mounting Drive to get data in
✗ Limitations
- •P100 is an older card than the T4 Colab free often hands out and much slower than anything on Colab Pro
- •30 hours a week is a ceiling, not a guarantee — heavy weeks end with the GPU switched off
- •Notebooks are public by default unless you set them private, which surprises people moving private Colab work across
- •No custom machine types: you take the instance Kaggle gives you
Free tier read from www.kaggle.com/docs/efficient-gpu-usage on 2026-09-28.
Hugging Face Spaces
Strongest Free GPUFree ZeroGPU on an RTX Pro 6000 Blackwell — the strongest free accelerator on this page
Best for: Running or demoing a model rather than training one over hours
✓ Strengths
- •The free accelerator is a current-generation card with up to 96 GB of VRAM, which is more memory than Colab Pro's paid tiers give you
- •Hugging Face publishes the whole hardware price table openly, so the free row is checkable rather than inferred
- •Your Space stays up at a URL — Colab notebooks die with the session and cannot serve anything
- •PRO at $9/mo is cheaper than Colab Pro at $9.99/mo and buys queue priority rather than a single machine
- •Community GPU grants exist for side projects, which has no Colab equivalent
✗ Limitations
- •ZeroGPU is burst allocation — it is the wrong shape for a training loop that needs eight uninterrupted hours
- •Spaces are an app-hosting abstraction, not a notebook; moving a .ipynb across is real work
- •Dedicated GPU hardware is hourly and starts at $0.40/hr for a T4, so "free" stops the moment you need a held card
- •Free Spaces sleep when idle and cold-start on the next visit
Free tier read from huggingface.co/pricing on 2026-09-28.
Modal
Best Free Credit$30 of compute credit every month on the free plan, spendable on any GPU they offer
Best for: Batch jobs and fine-tuning runs where you want a modern GPU and can live with a monthly budget instead of a clock
✓ Strengths
- •$30/month of credit is the only free allowance here denominated in money, so you choose whether to spend it on 180 hours of T4 or 12 hours of H100
- •Per-second billing with no charge for idle time — a Colab session bills you attention, not money, and wastes both
- •Published per-second rates for every card including B200 and H200, so the credit converts to a known number of hours
- •Code runs as a Python script with decorators, which is more reproducible than a notebook that depends on cell order
- •1 TiB/month of volume storage included free
✗ Limitations
- •Not a notebook at all — if the appeal of Colab is the cell-by-cell loop, this is a different way of working
- •$30 at $0.001097/sec for an H100 SXM5 is about 7.6 hours, which a single serious training run will eat
- •The next tier up is $250/month, a steep step from free compared with Colab Pro's $9.99
- •1-day log retention on Starter makes debugging a failed overnight job harder
Free tier read from modal.com/pricing on 2026-09-28.
Deepnote
Best for CollaborationThe collaborative notebook — real-time editing, which is where Colab is weakest
Best for: Notebook work that two or more people edit together, where Colab's comment-and-refresh model breaks down
✓ Strengths
- •Real-time multiplayer editing in the notebook itself, which Colab still does not do properly
- •SQL cells and native warehouse connections, so a data pull does not have to be Python
- •Scheduled notebook runs on paid plans replace the "leave the tab open" pattern Colab forces
- •Version history is built in rather than depending on you remembering to save to Drive
- •Interface is closer to a modern IDE than to a 2017 Jupyter clone
✗ Limitations
- •Deepnote does not state a free GPU allowance in writing, so we are not stating one for it — treat the free plan as CPU unless you check
- •$39/mo Team is 3.9x Colab Pro at $9.99/mo and is billed per seat
- •Positioned at data teams, not at people training models, so the GPU story is thinner throughout
- •Free plan is a genuine evaluation tier rather than a working allowance
Free tier read from deepnote.com/pricing on 2026-09-28.
Vast.ai
No Session LimitsNo free tier at all — the honest option when the free hour is the thing that is failing you
Best for: The run that free tiers keep killing: a long fine-tune that has to survive overnight
✓ Strengths
- •The one limitation shared by every free tier on this page — your session can be taken away — does not exist here
- •Marketplace pricing is usually the cheapest per GPU-hour available anywhere, because you are renting other people's idle hardware
- •You pick the exact card, so a run that needs 80 GB of VRAM gets 80 GB of VRAM
- •No quota to plan around and no queue to wait in
✗ Limitations
- •It costs money from minute one — if you came here for free, this is not it
- •Host quality varies across a marketplace; a cheap instance can have slow disk or poor network
- •You are responsible for the environment — no pre-installed ML stack handed to you
- •⚠️ Vast's API caps a page at 64 results, so tooling built against it silently under-reads the market
Free tier read from vast.ai/pricing on 2026-09-28.
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Colab vs Free Alternatives: What Actually Differs
| Feature | Google Colab | Best Alternative | Notes |
|---|---|---|---|
| Free GPU allowance stated in writing | No — free tier publishes no quota | Kaggle | 30 hours/week, in Kaggle's own docs |
| Strongest free accelerator | Whatever is spare, usually a T4 | Hugging Face Spaces | ZeroGPU on RTX Pro 6000 Blackwell, up to 96 GB |
| First paid tier | Colab Pro $9.99/mo | Hugging Face PRO $9/mo | Colab Pro+ is $49.99/mo |
| Session can be revoked mid-run | Yes — free sessions are preemptible | Vast.ai | The only one here that cannot take the machine back |
| Free allowance in money, not hours | No | Modal | $30/month of compute on the $0 plan |
| Runs a Colab notebook unchanged | — | Kaggle | Modal and HF Spaces are not notebooks |
Frequently Asked Questions
Is Google Colab free?
Yes, and deliberately vaguely so. The free tier gives best-effort access to spare GPU capacity with no published quota, no committed GPU model, and no guaranteed session length. The paid tiers are specific: Colab Pro at $9.99/month and Pro+ at $49.99/month, both read from Google's signup page on 2026-09-28.
What is the best free Google Colab alternative?
Kaggle, if the problem is that you cannot plan around Colab's free tier — Kaggle's docs state a 30-hour weekly GPU quota on P100s that resets every week. Hugging Face Spaces if the problem is that the free GPU is too weak, because its free ZeroGPU tier runs on an RTX Pro 6000 Blackwell with up to 96 GB of VRAM.
Which free notebook platform gives the most GPU hours?
Kaggle is the only one that publishes a number: 30 hours per week, sometimes higher depending on demand. Modal is the only one that gives you an allowance in money instead — $30 of compute per month on the free Starter plan, which at its published $0.000164/sec T4 rate is roughly 50 hours of T4 time. Colab may exceed both on a good week, but will not tell you in advance.
Is Colab Pro worth it, or should I switch?
Colab Pro is $9.99/month and buys faster GPUs plus longer sessions. Hugging Face PRO is $9/month and buys a stronger free-tier accelerator and queue priority on Spaces. If the reason you were upgrading is that free sessions keep dying mid-run, neither fixes it properly — a rented instance on Vast.ai is the only option here that cannot be reclaimed by the platform.
Can I run my Colab notebook somewhere else unchanged?
On Kaggle, usually yes — same Jupyter interface and a similar pre-installed ML stack. Deepnote will import it but the environment differs. Modal and Hugging Face Spaces are not notebook platforms at all: Modal runs decorated Python functions and Spaces hosts an app, so moving to either is a rewrite rather than an upload.
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