Meta vs Sail Research
Meta serves Muse Spark on demand. Sail Research serves open models at 30 to 85% off, most for workloads that can wait.
By The Subconscious Team · Updated
Meta vs Sail Research: key differences
The split is how fast you need an answer. Sail Research lets customers trade latency for price through completion windows: against traditional providers, the default low-latency asap window costs 30 to 70% less, balanced 45 to 80% less, and off-peak flex 55 to 85% less. It serves open models like Kimi K2.6, GLM-5.3, GPT-OSS 120B, Qwen 3.6 and Gemma 4, and Sailboxes give agents compute that can run indefinitely. Meta's Model API serves Muse Spark 1.3 on demand at $1.25 in and $4.25 out, aimed at agentic coding, tool use and computer use.
Both have a cheap path with a catch. Sail's catch is time, since its deepest discounts need the slower windows. Meta's is data: the Contributor tier's roughly 95% discount requires letting Meta train on your traffic, with rate limits cut to 150 requests per minute. For interactive agents and multimodal assistants, Meta fits. For hours-long background agents, evals and offline research where private data stays private, Sail fits. Sail claims 3x to 10x savings over comparable hosts.
What Meta and Sail Research do
Meta
Meta has moved from open Llama releases toward its own closed API. Meta Superintelligence Labs builds the Muse family, and in July 2026 Meta launched the Meta Model API with Muse Spark 1.1, a multimodal reasoning model aimed at agentic coding, tool use and computer use. At Meta Connect in September, Meta made the API generally available globally. Muse Spark 1.3 has a 1M token context and costs $1.25 in and $4.25 out per million tokens, with cached input at $0.15. Muse Wonder, released October 12, 2026, sits above it for longer, harder agent work at $4 in and $20 out, also with 1M context. The endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format.
Example models: Muse Wonder, Muse Spark 1.3, Muse Spark Open
Full Meta 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 Meta or Sail Research?
Meta
Choose Meta for
- Interactive agents that need immediate answers
- Computer use and multimodal tool calls
- Images and transcription on the same key
Sail Research
Choose Sail Research for
- Background agents running for hours
- Discounts that come from waiting, not data sharing
- Evals and offline research on open models
Meta vs Sail Research at a glance
| Attribute | ||
|---|---|---|
| Model access | Closed API; open Muse Spark Open and Glimmer | Open weights |
| Flagship models | Muse Wonder, Muse Spark 1.3, Muse Spark Open | Kimi K2.6, GLM-5.3, GPT-OSS 120B |
| Speed | ~145–233 tok/s on Muse Spark 1.3 | Low-latency default; slower windows cheaper |
| Price | $1.25–$4 in, $4.25–$20 out; Contributor tier cheaper | 30–85% below other hosts by completion window |
| Customization | Open Muse weights to fine-tune | Customer LoRA fine-tunes |
| Deployment | Meta Model API, Oracle Cloud | API plus Sailboxes |
| Long context | 1M | Varies by model |
Frequently asked questions
What is the difference between Meta and Sail Research?
Meta serves Muse Spark on demand. Sail Research serves open models at 30 to 85% off, most for workloads that can wait.
When should I choose Meta over Sail Research?
Interactive agents that need immediate answers; Computer use and multimodal tool calls; Images and transcription on the same key.
When should I choose Sail Research over Meta?
Background agents running for hours; Discounts that come from waiting, not data sharing; Evals and offline research on open models.
Is Meta or Sail Research cheaper?
Meta: $1.25–$4 in, $4.25–$20 out; Contributor tier cheaper. Sail Research: 30–85% below other hosts by completion window. The cheaper choice depends on the model and workload.
Which has more context, Meta or Sail Research?
Meta: 1M. Sail Research: Varies by model.
Related comparisons
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.