Subconscious
vs

Together AI vs Parasail

Parasail aggregates third-party GPUs and shines on cheap batch for any Hugging Face model. Together owns a fuller platform with training, clusters and rollout controls.

By The Subconscious Team · Updated

Together AI vs Parasail: key differences

Parasail does not run its own data centers. It pools GPUs from many hardware providers behind one OpenAI-compatible API and sells serverless, elastic, dedicated and batch capacity. Batch is its standout: any Hugging Face model, private repos included, at half of serverless pricing, with cached tokens another 50% off and rates keyed to parameter count and precision. A 4B to 8B model at FP4 costs $0.03 in and $0.06 out. Together also discounts batch by up to 50%, but on its own catalog of thirty-plus open text models rather than anything on Hugging Face.

Consistency and scope tip the other way. Because Parasail runs on aggregated hardware, performance depends on the underlying providers, and reserved GPU pricing is quote-only. Together publishes H100 cluster rates from $3.19 reserved, offers provisioned throughput with a 99% SLA, and runs managed LoRA, full SFT and an RL beta. Parasail's commit-to-spend model lets one commitment draw down across any model or hardware, which avoids idle reservations. Use Parasail for evals, embeddings and offline processing on unusual models. Use Together when you need to train, then serve with rollout safety.

What Together AI and Parasail 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

Parasail

Parasail calls itself the inference cloud for AI-native startups. Instead of owning data centers, it aggregates GPUs from many hardware providers and sells them through one OpenAI-compatible API. Customers choose serverless per-token endpoints, Elastic Endpoints that scale with traffic and bill only for tokens used, dedicated deployments with negotiated latency SLAs, or batch. Its commit-to-spend model lets one commitment draw down across any model or hardware.

Example models: GTE-Qwen2, Qwen3-VL-8B-Instruct

Full Parasail profile

Should you choose Together AI or Parasail?

Together AI

Choose Together AI for

  • Managed fine-tuning with checkpoints that deploy to inference
  • Published reserved GPU pricing without a sales call
  • Canary and blue-green rollouts in production

Parasail

Choose Parasail for

  • Batch runs on private or niche Hugging Face models
  • Commit-to-spend budgets that float across models and hardware
  • Moving from a closed vendor under ZDR and SLA terms

Together AI vs Parasail at a glance

AttributeTogether AIParasail
Model accessOpen weightsAny Hugging Face model
Flagship modelsKimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8GTE-Qwen2, Qwen3-VL-8B-Instruct
Speed0.99s TTFT on DeepSeek V4 Pro600ms p99 real-time budget
PriceParity with Fireworks and BasetenPer-parameter rates; batch 50% off
CustomizationLoRA and full SFT; RL in betaPrivate Hugging Face repos
DeploymentServerless, dedicated, GPU clustersServerless, elastic, dedicated, batch
Long context512K on DeepSeek V4 ProVaries by model

Frequently asked questions

What is the difference between Together AI and Parasail?

Parasail aggregates third-party GPUs and shines on cheap batch for any Hugging Face model. Together owns a fuller platform with training, clusters and rollout controls.

When should I choose Together AI over Parasail?

Managed fine-tuning with checkpoints that deploy to inference; Published reserved GPU pricing without a sales call; Canary and blue-green rollouts in production.

When should I choose Parasail over Together AI?

Batch runs on private or niche Hugging Face models; Commit-to-spend budgets that float across models and hardware; Moving from a closed vendor under ZDR and SLA terms.

Is Together AI or Parasail cheaper?

Together AI: Parity with Fireworks and Baseten. Parasail: Per-parameter rates; batch 50% off. The cheaper choice depends on the model and workload.

Which has more context, Together AI or Parasail?

Together AI: 512K on DeepSeek V4 Pro. Parasail: Varies by model.

Related comparisons

Running long-horizon agents?

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.

Subconscious vs Together AISubconscious vs Parasail