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Inference.net vs Sail Research
Both sell cheap tokens for patient workloads. Inference.net uses day-scale batch windows and distillation; Sail uses shorter windows and agent sandboxes.
By The Subconscious Team · Updated
Inference.net vs Sail Research: key differences
This is one of the closer pairs in cheap inference, since each trades latency for price. Inference.net's Batch API accepts up to 1M requests per file with windows from 24 hours to 7 days, running on aggregated spare GPU capacity. Sail Research lets each request pick a completion window: the default low-latency asap window at 30 to 70% below traditional providers, balanced at 45 to 80% below, or off-peak flex at 55 to 85% below. Sail's windows are much shorter, which suits agents that need a turn back in minutes rather than days.
Their second products split them further. Sail builds for long-running agents, with Sailboxes that give persistent compute, a catalog of open models such as Kimi K2.6 and GLM-5.3, and customer LoRA fine-tunes. Inference.net builds for teams leaving closed APIs, with a gateway that routes to open, closed or custom models, captures traffic and distills it into a task-specific model on a dedicated GPU. Sail claims 3x to 10x savings over comparable hosts, while Inference.net has few public price comparisons. Hours-long coding agents fit Sail. Bulk extraction and custom distillation fit Inference.net.
What Inference.net and Sail Research do
Inference.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 profileSail Research
Sail Research sells throughput over latency. Founders Neil Movva and Samir Menon built a serving stack that packs as much work as possible into every GPU, and customers state how long they can wait through completion windows. Its docs quote each window against traditional providers: the default asap window serves at low latency for 30 to 70% less, balanced for 45 to 80% less, and the off-peak flex window for 55 to 85% less. Batch requests default to flex, and LoRA and custom-tool requests default to balanced.
Example models: Kimi K2.6, GLM-5.3
Full Sail Research profileShould you choose Inference.net or Sail Research?
Inference.net
Choose Inference.net for
- Million-request jobs that can wait a day or more
- Turning production traces into a distilled model
- Routing closed and open models under one key
Sail Research
Choose Sail Research for
- Background agents that need turns back within minutes
- Persistent agent compute through Sailboxes
- Open models with LoRA fine-tunes at 30 to 85% off
Inference.net vs Sail Research at a glance
| Attribute | Inference.net | Sail Research |
|---|---|---|
| Model access | Open, closed and custom | Open weights |
| Flagship models | Schematron, ClipTagger, customer fine-tunes | Kimi K2.6, GLM-5.3, GPT-OSS 120B |
| Speed | Batch windows of 24h to 7 days | Low-latency default; slower windows cheaper |
| Price | Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr | 30–85% below other hosts by completion window |
| Customization | Distill traces into custom models | Customer LoRA fine-tunes |
| Deployment | Batch API, gateway, dedicated GPUs | API plus Sailboxes |
| Long context | Varies by model | Varies by model |
Frequently asked questions
What is the difference between Inference.net and Sail Research?
Both sell cheap tokens for patient workloads. Inference.net uses day-scale batch windows and distillation; Sail uses shorter windows and agent sandboxes.
When should I choose Inference.net over Sail Research?
Million-request jobs that can wait a day or more; Turning production traces into a distilled model; Routing closed and open models under one key.
When should I choose Sail Research over Inference.net?
Background agents that need turns back within minutes; Persistent agent compute through Sailboxes; Open models with LoRA fine-tunes at 30 to 85% off.
Is Inference.net or Sail Research cheaper?
Inference.net: Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr. Sail Research: 30–85% below other hosts by completion window. The cheaper choice depends on the model and workload.
Which has more context, Inference.net or Sail Research?
Inference.net: Varies by model. Sail Research: 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.