Modal vs Together AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionModalTogether AI
Pricingfreemium · from Starter $0/mo + computefreemium · from Serverless Inference Per 1M tokens (from $0.00)
Best forPython teams with spiky or unpredictable GPU demand, Startups shipping LLM inference without a capacity planProduction coding agents and high-throughput apps running open models like DeepSeek V4 Pro or Kimi K3, Batch jobs processing enormous token volumes — up to 30B tokens per model asynchronously
Standout featuresServerless autoscaling from 0 to 1000+ GPUs with no capacity planning · Sub-second cold starts for containers and sandboxes · Per-second billing by CPU cycle, GPU, memory, and volume — no idle costServerless inference APIs across 100+ open-source models · Batch inference scaling to 30 billion tokens per model · Provisioned Throughput with reserved capacity and a 99% uptime SLA
Viability score97/10088/100
APIYesYes

Modal is the stronger pick for python teams with spiky or unpredictable gpu demand; Together AI fits better for production coding agents and high-throughput apps running open models like deepseek v4 pro or kimi k3.

Built from live tool data, last verified 2026-09-29.

Modal
Modal

Serverless GPU cloud where you describe logic and hardware in Python and Modal handles routing, scaling, and sub-second container boot.

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Together AI
Together AI

Together AI runs serverless inference on 100+ open-source LLMs plus GPU clusters for training and fine-tuning.

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Pricing
Freemium
Freemium
Plans
$0/mo + compute
$250/mo + compute
Custom
Per 1M tokens (from $0.00)
Per 1M tokens (batch rates)
Contact sales
Contact sales
Contact sales
Contact sales
Contact sales
Contact sales
Popularity
4.6k views
3.6k views
Skill Level
Advanced
Advanced
API Available
Platforms
WebAPICLI
WebAPI
Categories
🖥️ GPU Cloud & Model Inference⚙️ Developer Infrastructure
🖥️ GPU Cloud & Model Inference
Features
Serverless autoscaling from 0 to 1000+ GPUs with no capacity planning
Sub-second cold starts for containers and sandboxes
Per-second billing by CPU cycle, GPU, memory, and volume — no idle cost
Python SDK where logic and hardware are declared in one file
LLM inference on H100s, A100s, A10Gs and more with scale-to-zero
Sub-10ms routing overhead from globally distributed compute
Token streaming, WebRTC, and WebSocket support for online inference
Multi-modal inference for image, video, audio, and embeddings
Batch and async inference for evals, embeddings, re-ranking, and dataset generation
Fine-tuning with SFT, LoRA, and full fine-tunes on single or multi-GPU
Multi-node training up to 128 B200s with 3200 Gbps Infiniband
Parallel hyperparameter sweeps with hundreds of concurrent experiments
Reinforcement learning with hundreds of thousands of concurrent rollout environments
Programmatic sandboxes for coding agents, background agents, and RL rollouts
Sandbox V2 (opt-in via MODAL_SANDBOX_V2=1), Filesystem API (GA), and Directory Snapshots (GA)
Serverless inference APIs across 100+ open-source models
Batch inference scaling to 30 billion tokens per model
Provisioned Throughput with reserved capacity and a 99% uptime SLA
Dedicated Model Inference on custom GPU hardware
Dedicated Container Inference for video, audio, and image models
Voice Agents for building production voice agents via API
Chat, vision, image, audio, video, transcribe, embeddings, rerank, and moderation endpoints
On-demand NVIDIA B200 GPUs on Together GPU Clusters
GPU clusters with GB300, GB200, H200, and H100
AI Factory custom infrastructure at frontier scale
Fine-tuning with FlashAttention and ATLAS research kernels
Custom training with reinforcement learning support
Evaluations to measure model quality before shipping
Managed Storage with object storage, parallel filesystems, and zero egress fees
Sandbox development environments via the CodeSandbox SDK
Integrations
Slack
Hugging Face
Gradio
AWS Marketplace
GCP Marketplace
Whisper
OpenCode
CodeSandbox
Weights & Biases
LangChain
LlamaIndex

Frequently Asked Questions

Which is better, Modal or Together AI?

The best choice between Modal and Together AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Modal and Together AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Modal or Together AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Modal
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Together AI
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Last reviewed: May 12, 2026