Tools
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 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
- Network egress usage broken down by app
The Usage page now shows network egress per app.
- New controls for unauthenticated web endpoints
Filter by authentication, audit unauthenticated deployments, and block them per environment.
- User groups for RBAC-enabled workspaces
Assign environment roles to groups of members, created manually or synced from your identity provider via SCIM.
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
- How to train your own Jev for $17
Launched the together/Tev1-4B-experimental classifier on Together’s serverless platform.
- Canary rollouts: upgrade models in production without downtime
Dedicated inference supports staged traffic ramps, metric gates, and automatic rollback for model upgrades.
- Together AI expands fine-tuning service with more models, live metrics, and finer controls
Together Fine-Tuning added more models, live experiment tracking, Expert LoRA, early stopping, dataset previews, and pre-flight validation.