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Modal vs Together AI

Modal or Together AI? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In inglese

In short

  • Both: Choice of models, API, Runs models for you, Builds agents and workflows, Traces and evaluates
  • Only Modal states: Agent that edits files, Official SDKs
  • Only Together AI states: Runs commands

Modal

Modal is a serverless cloud platform for running AI inference, training, batch jobs, and isolated code sandboxes.

Plans

Starter

Free

  • $30 / month free compute
  • 3 workspace seats included
  • 100 containers + 10 GPU concurrency
  • Scheduled and Web Functions (limited)
  • Real-time metrics and logs
  • Region selection

Team

  • $250 + compute / month
  • $100 / month free compute
  • Unlimited seats
  • 5000 containers + 50 GPU concurrency
  • Unlimited Scheduled Functions
  • Custom domains
  • Static IP proxy

Enterprise

Price on request

  • Volume-based discounts
  • Unlimited seats
  • Higher GPU concurrency
  • Embedded ML engineering services
  • Environment-level budgets
  • Support via private Slack

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Agent that edits files — “Autonomous agents with the right tools, context, and credentials already in place — running securely in a full, isolated dev environment.” source
  • Choice of models — “Run any model or inference engine on H100s, A100s, A10Gs and more.” source
  • API — “Serve your own LLM API” source
  • Official SDKs — “Modal SDK” source
  • Runs models for you — “Deploy and scale inference for LLMs, audio, image/video generation.” source
  • Builds agents and workflows — “Designed to scale agents.” source
  • Traces and evaluates — “Debug fast by zooming into metrics, logs, and live statuses of specific inference calls.” source

Latest updates

About Modal

Together AI

Together AI provides APIs and infrastructure for running, fine-tuning, and training open AI models.

Plans

Serverless Inference

  • MiniMax M3 — $0.30 per 1M tokens (Input)
  • MiniMax M3 — $1.20 per 1M tokens (output)
  • Kimi K3 — $3.00 per 1M tokens (Input)
  • Kimi K3 — $15.00 per 1M tokens (output)
  • GLM-5.3-Flash — $0.15 per 1M tokens (Input)
  • GLM-5.3-Flash — $0.50 per 1M tokens (output)
  • GPT Image 2 — $0.053 per image
  • Wan 2.6 Image — $0.03 per image
  • ByteDance Seedance 2.5 — $0.115 per video
  • ByteDance Seedance 2.0 — $0.16 per video
  • NVIDIA Nemotron 3 ASR Streaming 0.6B — $0.0015 per audio minute
  • Whisper Large v3 — $0.0015 per audio minute
  • High-performance inference as APIs
  • Prices vary by model and task; the page also lists batch API prices.

Dedicated Inference — NVIDIA HGX H100

  • $5.49 per gpu per hour
  • $3.99 per gpu per hour
  • Single-tenant GPU instances
  • Guaranteed performance (no sharing)
  • Support for custom models
  • Autoscaling & traffic spike handling

Dedicated Inference — NVIDIA HGX B200

  • $8.99 per gpu per hour
  • Single-tenant GPU instances
  • Guaranteed performance (no sharing)
  • Support for custom models
  • Autoscaling & traffic spike handling

Dedicated Inference — other hardware

Price on request

  • NVIDIA HGX H200, NVIDIA HGX B300, NVIDIA GB200 NVL72, and NVIDIA GB300 NVL72
  • Contact sales

GPU Clusters — On-demand

  • NVIDIA HGX B200 $8.19 per GPU per hour
  • NVIDIA HGX B300 $9.99 per GPU per hour
  • NVIDIA HGX H100 $3.99 per GPU per hour
  • NVIDIA HGX H200 $5.99 per GPU per hour
  • Pay-as-you-go GPU capacity on an hourly basis

GPU Clusters — Preemptible and reserved

  • NVIDIA HGX H100 Preemptible Compute $1.99 per GPU per hour
  • NVIDIA HGX H100 ON-Demand $3.99 per GPU per hour
  • NVIDIA HGX H100 7-30 days $3.69 per GPU per hour
  • NVIDIA HGX H100 31-90 days $3.45 per GPU per hour
  • NVIDIA HGX H100 91-180 days $3.19 per GPU per hour
  • On-demand hourly rates and reserved capacity
  • Reservation terms shown as 7-30, 31-90, and 91-180 days, and 181+ days

Code Sandbox

  • Per vCPU $0.0446 per hour
  • Per GiB RAM $0.0149 per hour
  • Customize a deployment of VM sandboxes for large development environments

Code Interpreter

  • Session (60 minutes) $0.03 per session
  • Execute LLM-generated code securely using the API

Managed Storage

  • Shared Filesystem $0.16 GiB/month
  • High-bandwidth, parallel filesystem colocated with your compute

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Runs commands — “await client.commands.run("npm install && npm run build")” source
  • Choice of models — “Scale to 30 billion tokens per model with any serverless model or private deployment.” source
  • API — “High-performance inference as APIs” source
  • Runs models for you — “The fastest way to run open-source models on demand.” source
  • Builds agents and workflows — “Build voice agents for production” source
  • Traces and evaluates — “Measure model quality” source

Latest updates

About Together AI