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Parasail vs Inference.net
Both resell GPU capacity they do not own and both push batch. Parasail adds real-time tiers and per-parameter pricing; Inference.net adds trace capture and custom model distillation.
By The Subconscious Team · Updated
Parasail vs Inference.net: key differences
These two share an origin story. Parasail aggregates GPUs from many hardware providers, and Inference.net schedules work onto small unused chunks of capacity across data centers. Both sell cheap batch through OpenAI compatible APIs. Parasail's batch runs any Hugging Face model, private repos included, at half of serverless pricing, with transparent per-parameter rates such as $0.03 in and $0.06 out for a 4B to 8B model at FP4. Inference.net's Batch API takes up to 1M requests per file with windows from 24 hours to 7 days, and its public pricing is plan-based, with a free pay-as-you-go tier, a $250/month Growth plan and dedicated B200s at $9.98 an hour.
Beyond batch they diverge. Parasail also serves real-time traffic on serverless, elastic and dedicated tiers designed around a 600ms p99 budget, and it signs ZDR and SLA agreements. Inference.net says its spare capacity suits batch better than strict real-time work. It counters with a full custom-model loop: a gateway captures traffic, turns it into datasets, fine-tunes a task-specific model and deploys it on a dedicated GPU with a 99.99% uptime target. Parasail hosts your model; Inference.net helps you build one.
What Parasail and Inference.net do
Parasail
Parasail calls itself the inference cloud for AI-native startups. It aggregates GPUs across about 40 data centers in 15 countries, runs some clusters of its own, and since July 2026 has deployed d-Matrix Corsair accelerators alongside NVIDIA Hopper and Blackwell, all sold through one OpenAI compatible API. It raised a $32M Series A in April 2026, led by Touring Capital and Kindred Ventures. Customers choose serverless per-token endpoints across about 40 curated models, Elastic Endpoints that scale with traffic and bill tokens at 1.25x serverless rates on selected models, 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: Kimi K3, DeepSeek V4.1 Flash, GLM-5.3, MiniMax M3
Full Parasail profileInference.net
Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.
Example models: GLM-5.2, Kimi K2.6, Schematron, customer fine-tunes
Full Inference.net profileShould you choose Parasail or Inference.net?
Parasail
Choose Parasail for
- Batch on private Hugging Face models with public rates
- Real-time endpoints with a 600ms p99 design target
- Startups needing ZDR and SLA agreements
Inference.net
Choose Inference.net for
- Distilling production traffic into a custom model
- Very large batch files with multi-day windows
- One gateway key across open, closed and custom models
Parasail vs Inference.net at a glance
| Attribute | Parasail | Inference.net |
|---|---|---|
| Model access | Any Hugging Face model | Open, closed and custom |
| Flagship models | Kimi K3, DeepSeek V4.1 Flash, GLM-5.3, MiniMax M3 | Schematron, ClipTagger, customer fine-tunes |
| Speed | 600ms p99 real-time budget | Batch windows of 24h to 7 days |
| Price | Per-parameter rates; batch 50% off | Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr |
| Customization | Private Hugging Face repos | Distill traces into custom models |
| Deployment | Serverless, elastic, dedicated, batch | Batch API, gateway, dedicated GPUs |
| Long context | Varies by model | Varies by model |
Frequently asked questions
What is the difference between Parasail and Inference.net?
Both resell GPU capacity they do not own and both push batch. Parasail adds real-time tiers and per-parameter pricing; Inference.net adds trace capture and custom model distillation.
When should I choose Parasail over Inference.net?
Batch on private Hugging Face models with public rates; Real-time endpoints with a 600ms p99 design target; Startups needing ZDR and SLA agreements.
When should I choose Inference.net over Parasail?
Distilling production traffic into a custom model; Very large batch files with multi-day windows; One gateway key across open, closed and custom models.
Is Parasail or Inference.net cheaper?
Parasail: Per-parameter rates; batch 50% off. Inference.net: Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr. The cheaper choice depends on the model and workload.
Which has more context, Parasail or Inference.net?
Parasail: Varies by model. Inference.net: Varies by model.
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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.