Alternatives toModal

Best alternatives to Modal in 2026

Renting a GPU server and leaving it running 24/7 just in case you need to train or run an AI model is like leaving a rental car idling in the driveway all month — expensive and wasteful. Modal lets developers write ordinary Python code, add a decorator, and have it run on a cloud GPU only for the seconds it's actually doing work, then disappear automatically — no server to manage, no idle bill. Modal is a serverless compute platform aimed at AI/ML workloads: model inference, training, fine-tuning, batch processing and sandboxed code execution. It defines infrastructure as Python code via its SDK, offers sub-second cold starts and automatic autoscaling across GPU types (T4, A100, H100, B200, B300), and runs across a globally distributed multi-cloud backend with SOC2 and HIPAA compliance for regulated workloads. Billing is per-second for exactly the compute used — GPUs from $0.000164/sec, CPU from $0.0000131/core/sec — with no charge for idle resources. The Starter plan is free with $30/month in compute credits; Team is $250/month plus compute costs with $100/month in credits; Enterprise is custom with volume discounts.

Quick comparison of Modal alternatives

#ToolBest forPrice
1RunPodAI developers, researchers and companies training and serving ML models without long procurement cycles
2replicate (PyPI)Développeurs
3ReplicateDéveloppeurs
4KithTherapists, psychologists, and small mental-health practices looking to cut down on session documentation time.
5ItsukiDevelopers building AI agents, assistants, or multi-tool workflows that need memory to persist and be shared across platforms.
6DeployHermesDevelopers and small-to-mid-size businesses seeking managed AI agent deployment without infrastructure management
7ify - Agents that ResolveEnterprise and mid-market support teams using Freshdesk, Zendesk, Salesforce, or HubSpot; SaaS companies and e-commerce platforms managing high ticket volumes
8OynixDéveloppeurs et équipes utilisant des agents de codage IA ayant besoin de contexte factuel sur leur base de code
9FERALDéveloppeurs et utilisateurs individuels voulant un assistant IA local, sous leur contrôle total
10ModelMRIChercheurs et ingénieurs en machine learning ayant besoin d'interpréter le comportement interne de leurs modèles
11EBM LensChercheurs biomédicaux, cliniciens et praticiens de la synthèse de preuves
12AgentConnectÉquipes coordonnant plusieurs agents IA sur différents outils de collaboration
#1
  • Self-serve with no contracts or minimum commitments
  • Sub-200ms serverless cold starts
#2
#3
#4
Kith
AI & Machine Learning🌐 EN

An AI assistant for therapists that listens to a session (in person or on a video call), transcribes it, and writes the clinical note afterward so the therapist doesn't have to.

#ai-automation#saas#transcription#ai#automation
kith.space
📄 Full details →
👥 Target audience

Therapists, psychologists, and small mental-health practices looking to cut down on session documentation time.

🌍 Target countries

Global

🗣️ Available languages
ENGLISH
🔄 Alternatives
UphealMentalycBlueprintNabla Copilot
🔗 Visit Kith
  • Ambient transcription frees the therapist to focus on the client
  • Automated SOAP notes cut post-session admin time
#5
Itsuki
AI & Machine Learning🌐 EN

A shared memory service for AI assistants and agents — it remembers facts and context from your conversations across tools like Claude, ChatGPT, and Cursor, instead of each tool starting from zero every time.

#ai-agents#llm#api#ai#open-source
itsuki.app
📄 Full details →
👥 Target audience

Developers building AI agents, assistants, or multi-tool workflows that need memory to persist and be shared across platforms.

🌍 Target countries

Global

🗣️ Available languages
ENGLISH
🔄 Alternatives
Mem0ZepLetta (MemGPT)Supermemory
🔗 Visit Itsuki
  • Shares memory across many AI tools instead of siloing it per-app
  • Structured, source-linked memories with real audit trail
#6
DeployHermes
AI & Machine Learning🌐 EN

Managed hosting for persistent AI agent bots — isolated runtime, memory, missions, and integrations (GitHub, Slack, Sentry, MCP) so you can hire an AI worker instead of running your own agent infrastructure.

#automation#ai-agents#saas#ai-automation#integrations
deploy-hermes.com
📄 Full details →
👥 Target audience

Developers and small-to-mid-size businesses seeking managed AI agent deployment without infrastructure management

🌍 Target countries

Global

🗣️ Available languages
ENGLISH
🔄 Alternatives
Self-hosting (LangGraph, CrewAI)ChatGPTCustom GPTsLindyRelevance AI
🔗 Visit DeployHermes
  • No server or infrastructure setup required to run persistent AI agents
  • Workspace-level approval and credential controls limit blast radius of autonomous actions
#7
ify - Agents that Resolve
AI & Machine Learning🌐 EN

AI agent that resolves support tickets automatically on top of Zendesk, Freshdesk, Salesforce or HubSpot, building its own knowledge base and escalating tricky cases to humans, billed per resolution instead of per seat.

#helpdesk#ai-automation#ai-agents#enterprise#saas
useify.ai
📄 Full details →
👥 Target audience

Enterprise and mid-market support teams using Freshdesk, Zendesk, Salesforce, or HubSpot; SaaS companies and e-commerce platforms managing high ticket volumes

🌍 Target countries

International

🗣️ Available languages
ENGLISH
🔄 Alternatives
Intercom FinZendesk AIAdaForethought
🔗 Visit ify - Agents that Resolve
  • Layers on top of Zendesk, Freshdesk, Salesforce or HubSpot without forcing a helpdesk migration
  • Per-resolution pricing avoids paying for idle seats or unused agent licenses
#8
  • Real knowledge graph of ownership and dependencies, not just vector search
  • Self-hosted, data in your own database — no mandatory hosted service
#9
  • Runs entirely on your own machine — no data sent to a third party by default
  • Multi-layer memory (working context, episodic, semantic graph, execution history)
#10
ModelMRI
AI & Machine Learning🌐 EN

A local-first debugging tool that visualizes what's happening inside an AI model — attention, features, and agent steps — without cloud infrastructure.

#machine-learning#open-source#ai#debugging
github.com
📄 Full details →
👥 Target audience

Chercheurs et ingénieurs en machine learning ayant besoin d'interpréter le comportement interne de leurs modèles

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
TransformerLensBertViznnsight
🔗 Visit ModelMRI
  • Covers language models, VLMs, and robot policies in one tool
  • Attention visualization, SAE feature exploration, and agent-step tracing combined
#11
EBM Lens
AI & Machine Learning🌐 EN

An open-source agentic RAG system that searches 12 biomedical databases and produces a source-cited synthesis of the evidence.

#rag#open-source#ai
github.com
📄 Full details →
👥 Target audience

Chercheurs biomédicaux, cliniciens et praticiens de la synthèse de preuves

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
Recherche manuelle multi-basesPlateformes institutionnelles payantes de revue de littérature
🔗 Visit EBM Lens
  • Searches 12 biomedical databases plus citation networks
  • Citation verification step specifically prevents hallucinated references
#12
  • Coordinates multiple AI agents across Slack, Discord, GitHub, GitLab, Telegram, Lark
  • Provider-agnostic — works with Claude, OpenAI, Grok, DeepSeek, and more

FAQ about Modal alternatives

What is the best alternative to Modal in 2026?
Based on our selection, RunPod is the best alternative to Modal in 2026. Pay-by-the-second GPU cloud for training and running AI models, with no contracts and fast serverless cold starts.. See our full ranking above to compare all options.
Is Modal free?
Modal is a paid tool. Several alternatives in our selection offer free or freemium versions.
How many alternatives to Modal are there?
mySelectas has listed 12 alternatives to Modal in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.