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DeepInfra vs Parasail
Parasail runs any Hugging Face model, private repos included, with cheap batch. DeepInfra runs a fixed catalog of 200+ models at the per-token floor.
By The Subconscious Team · Updated
DeepInfra vs Parasail: key differences
Parasail and DeepInfra both sell cheap open-model inference over OpenAI compatible APIs, but they source it differently. Parasail owns no data centers. It aggregates GPUs from many hardware providers and prices by parameter count and precision, so a 4B to 8B model at FP4 costs $0.03 in and $0.06 out per million. DeepInfra runs its own catalog of 200+ models with list prices such as $0.02 on Llama 3.1 8B. On small models the two land in the same range, and both lean on low precision to get there, so quality checks apply to each.
Flexibility is where Parasail pulls ahead. Its batch tier runs any Hugging Face model, private repos included, at half of serverless pricing, with cached tokens another 50% off, and one spend commitment draws down across any model or hardware. It also signs ZDR and SLA agreements. DeepInfra's appeal is simplicity: no minimums, setup fees or contracts. Parasail's main risk is consistency, since performance depends on the underlying providers, and reserved GPU pricing needs a sales call. For evals and offline processing on a private checkpoint, Parasail fits. For standard catalog models billed per call, DeepInfra is simpler.
What DeepInfra and Parasail do
DeepInfra
DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.09 in and $0.18 out. The catalog covers 200+ open models across text, image and speech behind a fully OpenAI compatible API. There are no minimums, setup fees or contracts on the shared API.
Example models: DeepSeek V4 Flash, Llama 3.1 8B
Full DeepInfra profileParasail
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 profileShould you choose DeepInfra or Parasail?
DeepInfra
Choose DeepInfra for
- Standard catalog models with no commitment or sales call
- Consumer chat and roleplay backends on a budget
- Quick switching across 200+ listed models
Parasail
Choose Parasail for
- Batch jobs on private Hugging Face checkpoints
- Startups moving off closed APIs under ZDR and SLA terms
- One spend commitment spread across many models
DeepInfra vs Parasail at a glance
| Attribute | DeepInfra | Parasail |
|---|---|---|
| Model access | Open weights | Any Hugging Face model |
| Flagship models | DeepSeek V4 Flash, Llama 3.1 8B | Kimi K3, DeepSeek V4.1 Flash, GLM-5.3, MiniMax M3 |
| Speed | Unknown | 600ms p99 real-time budget |
| Price | From $0.02 per 1M | Per-parameter rates; batch 50% off |
| Customization | No managed fine-tuning | Private Hugging Face repos |
| Deployment | Shared API, no contracts | Serverless, elastic, dedicated, batch |
| Long context | 1M on DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between DeepInfra and Parasail?
Parasail runs any Hugging Face model, private repos included, with cheap batch. DeepInfra runs a fixed catalog of 200+ models at the per-token floor.
When should I choose DeepInfra over Parasail?
Standard catalog models with no commitment or sales call; Consumer chat and roleplay backends on a budget; Quick switching across 200+ listed models.
When should I choose Parasail over DeepInfra?
Batch jobs on private Hugging Face checkpoints; Startups moving off closed APIs under ZDR and SLA terms; One spend commitment spread across many models.
Is DeepInfra or Parasail cheaper?
DeepInfra: From $0.02 per 1M. Parasail: Per-parameter rates; batch 50% off. The cheaper choice depends on the model and workload.
Which has more context, DeepInfra or Parasail?
DeepInfra: 1M on DeepSeek V4 Pro. Parasail: Varies by model.
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.