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Parasail vs Particle.AI
Particle.AI serves a few cheap Flash-class models with 1M context via Vercel AI Gateway. Parasail runs any Hugging Face model directly, with batch and contracts.
By The Subconscious Team · Updated
Parasail vs Particle.AI: key differences
Particle.AI is an early startup whose product shows mainly on Vercel AI Gateway. It serves DeepSeek V4.1 Flash at $0.25 in and $1 out, GLM 5.3 Flash at $0.10 in and $0.40 out, and DeepSeek V4 Flash 0731 at $0.14 in and $0.28 out, each with 1M context and cache reads at $0.03. There is no contract to sign, which makes it easy to add as a fallback route. Parasail is a full platform. It runs any Hugging Face model, private repos included, and sells serverless, elastic, dedicated and batch tiers under commitments and ZDR agreements.
Scale and flexibility favor Parasail for primary use. Particle has a tiny catalog, little public track record and 3.5 seconds of latency on its DeepSeek V4.1 Flash listing. Parasail designs real-time traffic around a 600ms p99 budget, though its consistency depends on aggregated hardware. For bulk offline work, Parasail's batch at half price on small models is hard to beat. For quick, cheap Flash calls inside an existing Vercel gateway setup, Particle is the lighter option.
What Parasail and Particle.AI do
Parasail
Parasail calls itself the inference cloud for AI-native startups. Instead of owning data centers, it aggregates GPUs from many hardware providers and sells them through one OpenAI-compatible API. Customers choose serverless per-token endpoints, Elastic Endpoints that scale with traffic and bill only for tokens used, dedicated deployments with negotiated latency SLAs, or batch. Its commit-to-spend model lets one commitment draw down across any model or hardware.
Example models: GTE-Qwen2, Qwen3-VL-8B-Instruct
Full Parasail 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. Public detail about funding and founders is thin as of this writing.
Example models: DeepSeek V4.1 Flash, GLM 5.3 Flash
Full Particle.AI profileShould you choose Parasail or Particle.AI?
Parasail
Choose Parasail for
- Primary hosting for any Hugging Face model
- Half-price batch on small models
- Production terms with ZDR and SLAs
Particle.AI
Choose Particle.AI for
- Cheap Flash calls with 1M context
- Fallback routing in Vercel AI Gateway
- Trying new Flash-class models with no contract
Parasail vs Particle.AI at a glance
| Attribute | Parasail |  Particle.AI |
|---|---|---|
| Model access | Any Hugging Face model | Open weights |
| Flagship models | GTE-Qwen2, Qwen3-VL-8B-Instruct | DeepSeek V4.1 Flash, GLM 5.3 Flash |
| Speed | 600ms p99 real-time budget | ~157 tok/s on DeepSeek V4.1 Flash |
| Price | Per-parameter rates; batch 50% off | $0.10 in, $0.40 out (GLM 5.3 Flash) |
| Customization | Private Hugging Face repos | Unknown |
| Deployment | Serverless, elastic, dedicated, batch | Via Vercel AI Gateway |
| Long context | Varies by model | 1M |
Frequently asked questions
What is the difference between Parasail and Particle.AI?
Particle.AI serves a few cheap Flash-class models with 1M context via Vercel AI Gateway. Parasail runs any Hugging Face model directly, with batch and contracts.
When should I choose Parasail over Particle.AI?
Primary hosting for any Hugging Face model; Half-price batch on small models; Production terms with ZDR and SLAs.
When should I choose Particle.AI over Parasail?
Cheap Flash calls with 1M context; Fallback routing in Vercel AI Gateway; Trying new Flash-class models with no contract.
Is Parasail or Particle.AI cheaper?
Parasail: Per-parameter rates; batch 50% off. Particle.AI: $0.10 in, $0.40 out (GLM 5.3 Flash). The cheaper choice depends on the model and workload.
Which has more context, Parasail or Particle.AI?
Parasail: Varies by model. Particle.AI: 1M.
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