# Subconscious vs Parasail

> Parasail optimizes cheap batch on aggregated GPUs. Subconscious optimizes the trace itself, keeping live agents fast past 200K tokens on dedicated infrastructure.

Canonical: https://www.subconscious.dev/compare/subconscious-vs-parasail · By The Subconscious Team · Updated September 30, 2026

## How they compare

Parasail optimizes the fleet, and Subconscious optimizes the trace. Parasail owns no data centers. It aggregates GPUs from many providers, runs any Hugging Face model including private repos, and prices by parameter count and precision, so a 4B to 8B model costs $0.03 in and $0.06 out at FP4. Batch runs at half of serverless, with cached tokens another 50% off. Subconscious works inside the model's context. Its runtime prunes the KV cache and preserves suffix state, which cuts cost 50% to 80% versus standard inference, and it bills only those processed tokens.

Offline evals, embeddings and large data jobs belong on Parasail, which also suits startups moving from closed APIs to dedicated open-model endpoints under a ZDR and SLA agreement. The trade-off is that its performance depends on the underlying hardware providers. Subconscious is the better fit for interactive and long-running agents, where it delivers 2x faster task completion and a 5M+ effective context window, and for teams that want a fixed deployment on dedicated or on-prem hardware. A team could batch its evals on Parasail and run the agent those evals measure on Subconscious.

## What each one does

### Subconscious

Subconscious is an MIT CSAIL spinout in Kendall Square that builds inference for long-horizon agents, the workloads where a single trace runs past 200K tokens and often into the millions. Its runtime drops in as a replacement for vLLM or SGLang. Instead of rereading an ever-growing context on every step, it prunes the KV cache and preserves suffix state, and Subconscious co-designs the runtime with post-trained model variants it calls Marathon. Against open models on standard inference, Subconscious delivers 2x faster task completion, delivers a 5M+ effective context window, cuts cost 50% and up to 80%, and scores neutral to 10% better on agentic benchmarks.

### 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.

## Which is best, and when

### Choose Subconscious for

- Live agents running past 200K tokens
- Dedicated or on-prem serving instead of aggregated third-party GPUs
- Processed-token billing on long traces

### Choose Parasail for

- Offline evals and embeddings at half of serverless price
- Batch jobs on private Hugging Face repos
- Flexible commit-to-spend across models and hardware

## At a glance

| Attribute | Subconscious | Parasail |
|---|---|---|
| Model access | Open weights | Any Hugging Face model |
| Flagship models | GLM 5.3, DeepSeek V4.1 Flash | GTE-Qwen2, Qwen3-VL-8B-Instruct |
| Speed | 2x faster task completion | 600ms p99 real-time budget |
| Price | 50–80% lower cost; billed on processed tokens | Per-parameter rates; batch 50% off |
| Customization | Marathon post-trained variants | Private Hugging Face repos |
| Deployment | Managed API, dedicated, on-prem | Serverless, elastic, dedicated, batch |
| Long context | 5M+ effective context | Varies by model |

## FAQ

### What is the difference between Subconscious and Parasail?

Parasail optimizes cheap batch on aggregated GPUs. Subconscious optimizes the trace itself, keeping live agents fast past 200K tokens on dedicated infrastructure.

### When should I choose Subconscious over Parasail?

Live agents running past 200K tokens; Dedicated or on-prem serving instead of aggregated third-party GPUs; Processed-token billing on long traces.

### When should I choose Parasail over Subconscious?

Offline evals and embeddings at half of serverless price; Batch jobs on private Hugging Face repos; Flexible commit-to-spend across models and hardware.

### Is Subconscious or Parasail cheaper?

Subconscious: 50–80% lower cost; billed on processed tokens. Parasail: Per-parameter rates; batch 50% off. The cheaper choice depends on the model and workload.

### Which has more context, Subconscious or Parasail?

Subconscious: 5M+ effective context. Parasail: Varies by model.

## Try Subconscious

Subconscious speaks the OpenAI and Anthropic API formats. Base URL: https://api.subconscious.dev/v1. Docs: https://docs.subconscious.dev. Get an API key: https://platform.subconscious.dev/signin. Agent guide: https://www.subconscious.dev/agents.md.

Full profiles: [Subconscious](https://www.subconscious.dev/providers/subconscious.md), [Parasail](https://www.subconscious.dev/providers/parasail.md).