LIVE
EU AI Act enforcement begins · June 2026NIST AI RMF — risk management framework publishedISO/IEC 42001 AI management standard now certifiableOpenAI o3 sets new reasoning benchmarksAnthropic raises $4B Series EEU AI Act enforcement begins · June 2026NIST AI RMF — risk management framework publishedISO/IEC 42001 AI management standard now certifiableOpenAI o3 sets new reasoning benchmarksAnthropic raises $4B Series EEU AI Act enforcement begins · June 2026NIST AI RMF — risk management framework publishedISO/IEC 42001 AI management standard now certifiableOpenAI o3 sets new reasoning benchmarksAnthropic raises $4B Series E
Side-by-Side Comparison · 2026

Modal

Modal Labs

Paid
vs

Together AI

Together AI

Paid

Modal vs Together AI: Full Comparison (2026)

Modal is serverless gpu cloud for ai and ml workloads. Together AI is affordable inference and fine-tuning for open-source models. Use the breakdown below to find the right fit for your needs.

This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model

Modal

Paid

Together AI

Paid

API Access

Modal

Not available

Together AI

Not available

Platforms

Modal

Web

Together AI

Web

Integrations

Modal

Together AI

Vendor

Modal

Modal Labs

Together AI

Together AI

Category

Modal

Infrastructure

Together AI

Infrastructure

Launch

Modal

Together AI

About Modal

Modal provides serverless GPU infrastructure for running ML models, fine-tuning, and data processing. Developers write Python functions decorated with @modal.function and Modal handles GPU provisioning, scaling, and billing per second.

Designed For

  • Model inference
  • Fine-tuning
  • Batch ML jobs
  • Data pipelines
Full Modal details

About Together AI

Together AI provides fast, cost-effective inference infrastructure for 100+ open-source models including Llama, Mistral, and FLUX. Also offers fine-tuning, embeddings, and a research cluster for training custom models.

Designed For

  • Open-source model inference
  • Model fine-tuning
  • Embeddings
  • Research training
Full Together AI details

Strengths & Limitations

Modal

Strengths

  • Serverless (no infra management)
  • Per-second billing
  • Pythonic API

Limitations

  • Newer service
  • Cost for sustained workloads

Together AI

Strengths

  • 100+ models
  • Competitive pricing
  • Fine-tuning platform

Limitations

  • No proprietary frontier models
  • Smaller community

Frequently Asked Questions

What is the difference between Modal and Together AI?

Modal is serverless gpu cloud for ai and ml workloads, while Together AI is affordable inference and fine-tuning for open-source models. Modal is designed for Infrastructure; Together AI is designed for Infrastructure. The right fit depends on your specific requirements.

How do the pricing models compare?

Modal is available under a Paid model. Together AI is available under a Paid model. Always verify pricing on each vendor's official website as it may change.

How do I choose between Modal and Together AI?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.

Feature Snapshot

API Access
Has Integrations
Multi-platform
Free Tier
Enterprise Plan
ModalTogether AI

Related Tags

GPU
Serverless
ML Infrastructure
Python
Cloud
Inference
Open-Source
Fine-tuning
API
Affordable
Browse all comparisons

Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.