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Together AI vs Modal

Modal sells serverless GPU containers for your own code and weights. Together sells hosted open models by the token, plus fine-tuning and clusters.

By The Subconscious Team · Updated

Together AI vs Modal: key differences

The core difference is who owns the serving stack. Modal has no model catalog and no per-token price. A developer decorates a Python function with a GPU type, and Modal builds, schedules and autoscales the container, billing per second from $0.59 an hour for a T4 to $3.95 for an H100 at list. Together hosts thirty-plus open text models plus media and embeddings behind an OpenAI-compatible endpoint, so there is nothing to package. Together also runs managed fine-tuning and reserved clusters, with H100s from $3.19 an hour reserved.

Modal suits custom or non-LLM work: OCR, embeddings, transcription, fine-tunes with bespoke serving code, and spiky jobs that scale to zero. Its free Starter plan renews $30 in credits monthly, where Together has no free tier. Watch Modal's production math, though: non-preemptible US capacity runs about 3.75x list, near $14.81 for an H100, and keeping containers warm erases the serverless savings. For standard open LLMs at steady volume, Together's per-token pricing is simpler. For bring-your-own code, Modal is the better fit.

What Together AI and Modal do

Together AI

Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs past thirty open models, including DeepSeek V4, Kimi K3, GLM 5.2, Qwen 3.8 and MiniMax M3, plus image, video, speech and embedding models. Token prices sit at parity with Fireworks and Baseten.

Example models: Kimi K3, DeepSeek V4 Pro

Full Together AI profile

Modal

Modal is serverless compute with GPUs attached. A developer decorates a Python function with the hardware it needs, such as gpu="H100", and Modal builds the container, schedules it, autoscales it and scales it back to zero. Billing runs per second with no minimum increment, from $0.59 an hour for a T4 to $3.95 for an H100 at list. Containers can hold up to 8 GPUs across T4 through B300.

Example models: none hosted by default; teams deploy their own, such as open LLMs on vLLM or Whisper

Full Modal profile

Should you choose Together AI or Modal?

Together AI

Choose Together AI for

  • Popular open LLMs with no serving code to write
  • Steady production traffic billed per token
  • Managed SFT without writing training infrastructure

Modal

Choose Modal for

  • Custom models and pipelines in plain Python
  • Bursty GPU jobs that should scale to zero
  • Free monthly credits for early experiments

Together AI vs Modal at a glance

AttributeTogether AIModal
Model accessOpen weightsBring your own weights
Flagship modelsKimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8None hosted
Speed0.99s TTFT on DeepSeek V4 Pro~1s container boot
PriceParity with Fireworks and BasetenPer second; H100 $3.95/hr list
CustomizationLoRA and full SFT; RL in betaRun any training code
DeploymentServerless, dedicated, GPU clustersServerless GPU containers
Long context512K on DeepSeek V4 ProDepends on the model you deploy

Frequently asked questions

What is the difference between Together AI and Modal?

Modal sells serverless GPU containers for your own code and weights. Together sells hosted open models by the token, plus fine-tuning and clusters.

When should I choose Together AI over Modal?

Popular open LLMs with no serving code to write; Steady production traffic billed per token; Managed SFT without writing training infrastructure.

When should I choose Modal over Together AI?

Custom models and pipelines in plain Python; Bursty GPU jobs that should scale to zero; Free monthly credits for early experiments.

Is Together AI or Modal cheaper?

Together AI: Parity with Fireworks and Baseten. Modal: Per second; H100 $3.95/hr list. The cheaper choice depends on the model and workload.

Which has more context, Together AI or Modal?

Together AI: 512K on DeepSeek V4 Pro. Modal: Depends on the model you deploy.

Related comparisons

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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.