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Head-to-head · Experiment Tracking

Weights & Biases vs Determined

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Weights & Biases #1 in Experiment Tracking 8.9/10 Free plan · 30-day trial Free planFree trial✓ 0 of 3 features Try Weights & Biases
Determined #7 in Experiment Tracking 8.2/10 Free plan Free plan✓ 0 of 3 features Visit Determined

Weights & Biases leads on 0 checks, Determined on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreWeights & Biases · 8.9/10
  • Free planboth
  • Free trialonly Weights & Biases

Weights & Biases scores higher on our rubric for experiment tracking: 8.9 against 8.2 out of 10; our editors rank them #1 and #7.

Weights & Biases is the better fit for teams needing tracking plus model lifecycle tools. Determined is the better fit for teams training distributed models on their own.

  • Weights & Biases fits best

    Teams needing tracking plus model lifecycle tools

  • Determined fits best

    Teams training distributed models on their own

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Side by side

Feature Weights & Biases 8.9/10 Visit ↗ Determined 8.2/10 Visit ↗
At a glance
Editor score 8.9 8.2
Ranking #1 in Experiment Tracking #7 in Experiment Tracking
Best for Teams needing tracking plus model lifecycle tools Teams training distributed models on their own
Pricing model Free plan + paid Free
Starting price $60/mo Free plan
Free plan ✓ ✓
Free trial 30 days —
Deployment Cloud, Self-hosted, Browser extension Cloud, Self-hosted
Platforms Web, iOS Web, Linux
Support Email, Live chat, Community · 24/7 Community
Integrations 9 integrations 6 integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Weights & Biases 0/3 · Determined 0/3
Self-hosted option Not checked yet Not checked yet
Artifact storage Not checked yet Not checked yet
Run comparison Not checked yet Not checked yet
Specs
Free plan seats Not checked yet Not checked yet
Version control Not checked yet Not checked yet
Deployment options Not checked yet Not checked yet
Our review
Pros
  • Tracks experiments and visualizes results, with hyperparameter sweeps
  • Artifacts, versioning, and a centralized model registry support asset management
  • Integrates with tools including PyTorch, TensorFlow, and LangChain
  • Tracks code versions, metrics, checkpoints, and hyperparameters
  • Combines distributed training with GPU scheduling and resource management
  • Supports deployments to AWS, GCP, Kubernetes, and Slurm/PBS
Cons
  • Pro starts at $60 per month
  • Free plan lists community support, while Pro adds priority email and chat support
  • Its broad workflow and serving scope may exceed teams seeking tracking alone
  • Experiment tracking is narrower than leading suites
  • Workflows are centered on Python
  • Support is community-based
Our verdict

Weights & Biases is an AI developer platform for machine-learning and AI teams, from individual developers and researchers to organizations managing models through development and production. Experiment tracking and visualization sit…

Read the review →

Determined brings distributed training, hyperparameter tuning, experiment tracking, and resource management into an open-source deep learning platform. It is aimed at researchers and machine learning teams that train models on their own…

Read the review →
  1. Weights & BiasesExperiment Tracking 8.9Free plan · 30-day trial
  2. DeterminedExperiment Tracking 8.2Free plan

Strengths and trade-offs

  • Weights & Biases — where it wins

    • Tracks experiments and visualizes results, with hyperparameter sweeps
    • Artifacts, versioning, and a centralized model registry support asset management
    • Integrates with tools including PyTorch, TensorFlow, and LangChain

    Where it doesn't

    • Pro starts at $60 per month
    • Free plan lists community support, while Pro adds priority email and chat support
    • Its broad workflow and serving scope may exceed teams seeking tracking alone

  • Determined — where it wins

    • Tracks code versions, metrics, checkpoints, and hyperparameters
    • Combines distributed training with GPU scheduling and resource management
    • Supports deployments to AWS, GCP, Kubernetes, and Slurm/PBS

    Where it doesn't

    • Experiment tracking is narrower than leading suites
    • Workflows are centered on Python
    • Support is community-based

More comparisons

All experiment tracking comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update