Sail Research vs Particle.AI

Two ways to pay less for open models. Particle.AI lists cheap Flash models with 1M context on Vercel AI Gateway. Sail Research cuts price further the longer you can wait.

By The Subconscious Team · Updated October 29, 2026

Sail Research vs Particle.AI: key differences

Particle.AI gets its low prices from small, efficient Flash-class models. On its own API it lists GLM 5.3 Flash at $0.15 in and $0.50 out and DeepSeek V4.1 Flash at $0.25 in and $1 out, all with 1M context and $0.03 cache reads. Sail Research gets its low prices from scheduling. It packs GPUs for throughput and prices 30 to 85% below traditional providers across asap, balanced and off-peak flex completion windows.

The catalogs barely overlap. Sail carries Kimi K2.6, GLM-5.3, GPT-OSS 120B, Qwen 3.6 and Gemma 4, plus customer LoRA fine-tunes, so it can run a larger model cheaply when time is not a factor. Particle suits cheap high-volume calls or a fallback route inside a multi-provider gateway, with no new contract. Particle still answers in seconds, with about 1.9 seconds to first token on Particle-1 via Vercel AI Gateway. Sail's cheapest windows take longer. Both are early companies with limited public track records.

What Sail Research and Particle.AI 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 profile

Particle.AI

Particle AI is an early San Francisco infrastructure startup with a mission to make intelligence as cheap and abundant as electricity. The team works on post-training, inference optimization and distributed systems, all aimed at pushing down cost per unit of intelligence. It is still hiring its founding team and works fully in person. Mixpanel founder Suhail Doshi started it, with backing from Y Combinator, 8VC, Caffeinated Capital and angels including Patrick Collison, Adam D'Angelo and Aaron Levie.

Example models: Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash

Full Particle.AI profile

Should you choose Sail Research or Particle.AI?

Sail Research

Choose Sail Research for

Larger open models at a discount for background work.
Hours-long agents with persistent Sailboxes.
Serving customer LoRA fine-tunes.

Particle.AI

Choose Particle.AI for

Cheap Flash-model calls that still return in seconds.
1M context on DeepSeek and GLM Flash models.
A price-optimized route in Vercel AI Gateway.

Sail Research vs Particle.AI at a glance

Attribute	Sail Research	Particle.AI
Model access	Open weights	Open weights plus its own Particle-1 tune
Flagship models	Kimi K2.6, GLM-5.3, GPT-OSS 120B	Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash
Speed	Low-latency default; slower windows cheaper	~110 tok/s on Particle-1 (Vercel AI Gateway)
Price	30–85% below other hosts by completion window	$0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1)
Customization	Customer LoRA fine-tunes	Unknown
Deployment	API plus Sailboxes	Serverless API, Vercel AI Gateway
Long context	Varies by model	1M

Frequently asked questions

What is the difference between Sail Research and Particle.AI?

Two ways to pay less for open models. Particle.AI lists cheap Flash models with 1M context on Vercel AI Gateway. Sail Research cuts price further the longer you can wait.

When should I choose Sail Research over Particle.AI?

Larger open models at a discount for background work; Hours-long agents with persistent Sailboxes; Serving customer LoRA fine-tunes.

When should I choose Particle.AI over Sail Research?

Cheap Flash-model calls that still return in seconds; 1M context on DeepSeek and GLM Flash models; A price-optimized route in Vercel AI Gateway.

Is Sail Research or Particle.AI cheaper?

Sail Research: 30–85% below other hosts by completion window. Particle.AI: $0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1). The cheaper choice depends on the model and workload.

Which has more context, Sail Research or Particle.AI?

Sail Research: Varies by model. Particle.AI: 1M.

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.

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