DeepInfra vs Sail Research
Sail discounts open-model tokens by letting you wait minutes per turn. DeepInfra keeps list prices low for requests that need an answer now.
By The Subconscious Team · Updated
DeepInfra vs Sail Research: key differences
Sail Research and DeepInfra both sell cheap open-model tokens, but Sail gets there through time. Customers pick a completion window: priority targets about a one-minute turn for roughly 30 to 50% off Sail's immediate price, standard targets about five minutes for 45 to 65% off, and flex runs off-peak for 60 to 80% off. Sail claims 3x to 10x savings over comparable hosts. DeepInfra has no windows. Its low price comes from list rates, like $0.14 in and $0.28 out on DeepSeek V4 Flash, and from heavy default quantization that can trim quality and context.
Sail is also built around long-running agents. Sailboxes give agents persistent compute that can run indefinitely, and it serves customer LoRA fine-tunes over OpenAI and Anthropic-compatible APIs, while DeepInfra has no managed fine-tuning. The cost is latency: Sail is explicitly unsuited to voice, live chat or any interactive UI. That makes the split fairly clean. Background agents that scan code for hours, evals and offline research fit Sail. User-facing chat on a budget, and any job where a person is waiting, fits DeepInfra.
What DeepInfra and Sail Research do
DeepInfra
DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.
Example models: DeepSeek V4 Flash, Llama 3.1 8B
Full DeepInfra 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. The priority window targets about a one-minute turn for roughly 30 to 50% off the immediate asap price. The default standard window targets about five minutes for 45 to 65% off. The flex window runs off-peak for 60 to 80% off.
Example models: Kimi K2.6, GLM-5
Full Sail Research profileShould you choose DeepInfra or Sail Research?
DeepInfra
Choose DeepInfra for
- Budget consumer chat where users wait on each reply
- Cheap requests that cannot sit in a queue
- A wide open catalog with no delay trade-off
Sail Research
Choose Sail Research for
- Background agents that run for hours unattended
- Evals and offline research that tolerate minutes per turn
- Serving LoRA fine-tunes with sandboxes on the same platform
DeepInfra vs Sail Research at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | DeepSeek V4 Flash, Llama 3.1 8B | Kimi K2.6, GLM-5, GPT-OSS 120B |
| Speed | ~33 tok/s on DeepSeek V4 Pro (FP4) | Minutes per turn by design |
| Price | From $0.02 per 1M | 30–80% off by completion window |
| Customization | No managed fine-tuning | Customer LoRA fine-tunes |
| Deployment | Shared API, no contracts | API plus Sailboxes |
| Long context | 66K on FP4 DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between DeepInfra and Sail Research?
Sail discounts open-model tokens by letting you wait minutes per turn. DeepInfra keeps list prices low for requests that need an answer now.
When should I choose DeepInfra over Sail Research?
Budget consumer chat where users wait on each reply; Cheap requests that cannot sit in a queue; A wide open catalog with no delay trade-off.
When should I choose Sail Research over DeepInfra?
Background agents that run for hours unattended; Evals and offline research that tolerate minutes per turn; Serving LoRA fine-tunes with sandboxes on the same platform.
Is DeepInfra or Sail Research cheaper?
DeepInfra: From $0.02 per 1M. Sail Research: 30–80% off by completion window. The cheaper choice depends on the model and workload.
Which has more context, DeepInfra or Sail Research?
DeepInfra: 66K on FP4 DeepSeek V4 Pro. 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.