GMI Cloud vs Particle.AI

Particle AI serves a few cheap Flash-class models with 1M context via Vercel AI Gateway; GMI Cloud runs a multimodal GPU cloud on owned hardware.

By The Subconscious Team · Updated October 29, 2026

GMI Cloud vs Particle.AI: key differences

Both serve current Flash-class models: GMI carries DeepSeek V4 Flash and GLM-5.2, and Particle AI's own API lists GLM 5.3 Flash at $0.15 in and $0.50 out, and Particle-1, its own V4.1 Flash tune, and DeepSeek V4.1 Flash at $0.25 in and $1 out, each with 1M context and cache reads at $0.03 per million. Particle also tends to pick up new Flash-class models within days, while GMI's LLM catalog is smaller than the largest hosts.

Everything else favors GMI's breadth. It owns its hardware, serves 200+ models including video, image and audio, sells reserved GPUs and offers APAC residency. Particle is a very early startup with a tiny catalog, with its own API only launched in October 2026, and some listings are slow, like about 1.9 seconds to first token on Particle-1 via Vercel AI Gateway. Use Particle as a cheap route or fallback inside a gateway. Use GMI as a primary platform.

What GMI Cloud and Particle.AI do

GMI Cloud

GMI Cloud is a vertically integrated GPU cloud and inference platform that owns its NVIDIA hardware. It runs Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia, and as an NVIDIA Cloud Partner it gets priority access to H100, H200, B200 and GB200 supply, with GB300 on pre-order. In March 2026 it announced a 1GW sovereign AI factory in Kagoshima, Japan. The company pivoted from crypto mining into AI, which gave it experience standing up high-density power and cooling fast. In September 2026 it raised $668M: a $223M Series B led by ARCHIV with NVIDIA participating, plus a $445M credit facility led by CTBC. It reports over $600M in contracted ARR and about 4T tokens a week on its inference platform.

Example models: DeepSeek V4 Flash, GLM-5.2, Google Veo

Full GMI Cloud 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 GMI Cloud or Particle.AI?

GMI Cloud

Choose GMI Cloud for

A primary platform with text and media models
APAC residency and reserved GPU capacity
Teams that want a direct vendor relationship

Particle.AI

Choose Particle.AI for

Cheap Flash-class calls with full 1M context
Fast access to newly released Flash models
A fallback route inside Vercel AI Gateway

GMI Cloud vs Particle.AI at a glance

Attribute	GMI Cloud	Particle.AI
Model access	Open and third-party models	Open weights plus its own Particle-1 tune
Flagship models	DeepSeek V4 Flash, GLM-5.2, Google Veo	Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash
Speed	Near bare-metal performance	~110 tok/s on Particle-1 (Vercel AI Gateway)
Price	H100 from $2.60/GPU-hr	$0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1)
Customization	Unknown	Unknown
Deployment	Shared, autoscaling, reserved GPUs	Serverless API, Vercel AI Gateway
Long context	Varies by model	1M

Frequently asked questions

What is the difference between GMI Cloud and Particle.AI?

Particle AI serves a few cheap Flash-class models with 1M context via Vercel AI Gateway; GMI Cloud runs a multimodal GPU cloud on owned hardware.

When should I choose GMI Cloud over Particle.AI?

A primary platform with text and media models; APAC residency and reserved GPU capacity; Teams that want a direct vendor relationship.

When should I choose Particle.AI over GMI Cloud?

Cheap Flash-class calls with full 1M context; Fast access to newly released Flash models; A fallback route inside Vercel AI Gateway.

Is GMI Cloud or Particle.AI cheaper?

GMI Cloud: H100 from $2.60/GPU-hr. 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, GMI Cloud or Particle.AI?

GMI Cloud: Varies by model. Particle.AI: 1M.

Related comparisons

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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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