Sail Research vs Dolphin
Both trade latency for price. Sail does it with completion windows on a funded platform; Dolphin does it with idle consumer GPUs.
By The Subconscious Team · Updated
Sail Research vs Dolphin: key differences
Sail serves Kimi K2.6, GLM-5.3, GPT-OSS 120B, Qwen 3.6, Gemma 4 and customer LoRA fine-tunes, discounted 30 to 85% depending on how long you can wait. It raised $80M and reports trillions of tokens a week. Dolphin launched its API in October 2026 with one model, DeepSeek V4.1 Flash, at $0.01 in and $0.07 out, on consumer GPUs with no published speed, context or SLA, and signup through a crypto wallet and Telegram.
Sail is the more complete option for long-running agents and batch work, with a wider catalog, fine-tunes and sandboxes. Dolphin is very cheap on its one model and hosts uncensored models, but uptime is less predictable and its signup will not clear most procurement teams.
What Sail Research and Dolphin do
Sail 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 profileDolphin
Dolphin began in 2023 as Eric Hartford's series of open-source, uncensored fine-tunes, trained to drop the refusals and baked-in guidelines of their base models so that the developer sets the rules through the system prompt. Current releases include Dolphin Llama 3.1 8B and Dolphin Mistral 24B Venice Edition, built with Venice, and the project publishes nearly 100 models on Hugging Face. It also runs a chat app, a Telegram bot and a synthetic data service that generates answers to commonly refused prompts.
Example models: DeepSeek V4.1 Flash, Dolphin Mistral 24B
Full Dolphin profileShould you choose Sail Research or Dolphin?
Sail Research
Choose Sail Research for
- Hours-long background agents
- Batch and evals on large open models
- Customer LoRA fine-tunes
Dolphin
Choose Dolphin for
- Very cheap DeepSeek V4.1 Flash calls
- Models without vendor-imposed refusals
- Small background jobs on one model
Sail Research vs Dolphin at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights | Open weights, uncensored fine-tunes |
| Flagship models | Kimi K2.6, GLM-5.3, GPT-OSS 120B | DeepSeek V4.1 Flash, Dolphin Mistral 24B |
| Speed | Low-latency default; slower windows cheaper | Unknown |
| Price | 30–85% below other hosts by completion window | $0.01 in, $0.07 out (DeepSeek V4.1 Flash) |
| Customization | Customer LoRA fine-tunes | Own uncensored fine-tunes |
| Deployment | API plus Sailboxes | Decentralized serverless API |
| Long context | Varies by model | Unknown |
Frequently asked questions
What is the difference between Sail Research and Dolphin?
Both trade latency for price. Sail does it with completion windows on a funded platform; Dolphin does it with idle consumer GPUs.
When should I choose Sail Research over Dolphin?
Hours-long background agents; Batch and evals on large open models; Customer LoRA fine-tunes.
When should I choose Dolphin over Sail Research?
Very cheap DeepSeek V4.1 Flash calls; Models without vendor-imposed refusals; Small background jobs on one model.
Is Sail Research or Dolphin cheaper?
Sail Research: 30–85% below other hosts by completion window. Dolphin: $0.01 in, $0.07 out (DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
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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.