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Parasail vs Boundless
Both pitch AI-native startups. Parasail adds cheap batch on any Hugging Face model, and Boundless has engineers tune reserved capacity to your traffic.
By The Subconscious Team · Updated
Parasail vs Boundless: key differences
Both companies pitch themselves to AI-native startups and serve Kimi K3, DeepSeek V4.1 Flash, GLM-5.3 and MiniMax M3. Parasail aggregates GPUs across about 40 data centers in 15 countries, adds d-Matrix Corsair accelerators, and sells serverless, elastic, dedicated and batch through one OpenAI compatible API. Batch runs any Hugging Face model, private repos included, at half of serverless pricing. Boundless sells per-token access from prepaid credits through an OpenAI and Anthropic compatible API, resells GPT and Claude models, and keeps zero data retention. On its tailored tier, Boundless engineers pick a model on the customer's evals, tune the serving stack and run it against uptime, throughput and latency targets in the contract.
Parasail is the pick for evals, embeddings and offline jobs, for private Hugging Face models, and for one spend commitment across models and hardware. Boundless fits teams that want closed and open models on one key, or engineers who run the deployment for them, with a free two-week test on real traffic before signing.
What Parasail and Boundless do
Parasail
Parasail calls itself the inference cloud for AI-native startups. It aggregates GPUs across about 40 data centers in 15 countries, runs some clusters of its own, and since July 2026 has deployed d-Matrix Corsair accelerators alongside NVIDIA Hopper and Blackwell, all sold through one OpenAI compatible API. It raised a $32M Series A in April 2026, led by Touring Capital and Kindred Ventures. Customers choose serverless per-token endpoints across about 40 curated models, Elastic Endpoints that scale with traffic and bill tokens at 1.25x serverless rates on selected models, 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: Kimi K3, DeepSeek V4.1 Flash, GLM-5.3, MiniMax M3
Full Parasail profileBoundless
Boundless launched in September 2026 as an inference partner for AI-native startups. It sells two things. The Model API serves pre-tuned models on shared capacity, billed per token from prepaid credits with a budget per API key. Tailored inference reserves capacity for one customer, and Boundless engineers pick the model on the customer’s own evals, tune precision, batching, caching, speculative decoding and parallelism, then run the deployment against uptime, throughput and latency targets written into the contract. A free two-week evaluation tests those targets on real traffic against the customer’s current provider first.
Example models: GLM-5.3, DeepSeek V4.1 Flash, Kimi K3
Full Boundless profileShould you choose Parasail or Boundless?
Parasail vs Boundless at a glance
| Attribute | Parasail | Boundless |
|---|---|---|
| Model access | Any Hugging Face model | Open weights, plus closed GPT and Claude |
| Flagship models | Kimi K3, DeepSeek V4.1 Flash, GLM-5.3, MiniMax M3 | GLM-5.3, DeepSeek V4.1 Flash, Kimi K3 |
| Speed | 600ms p99 real-time budget | 342 tok/s on DeepSeek V4.1 Flash 1017 (Vercel) |
| Price | Per-parameter rates; batch 50% off | $0.04–$2.30 in, $0.21–$11.40 out per 1M (open) |
| Customization | Private Hugging Face repos | Serving-stack tuning, no fine-tuning |
| Deployment | Serverless, elastic, dedicated, batch | Serverless API, reserved tailored capacity |
| Long context | Varies by model | 1M context on most models |
Frequently asked questions
What is the difference between Parasail and Boundless?
Both pitch AI-native startups. Parasail adds cheap batch on any Hugging Face model, and Boundless has engineers tune reserved capacity to your traffic.
When should I choose Parasail over Boundless?
Batch on any Hugging Face model; One commitment across models and hardware; GPU capacity across 15 countries.
When should I choose Boundless over Parasail?
GPT, Claude and open models on one key; Engineer-run reserved deployments; A free two-week trial on real traffic.
Is Parasail or Boundless cheaper?
Parasail: Per-parameter rates; batch 50% off. Boundless: $0.04–$2.30 in, $0.21–$11.40 out per 1M (open). The cheaper choice depends on the model and workload.
Which has more context, Parasail or Boundless?
Parasail: Varies by model. Boundless: 1M context on most models.
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.