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SambaNova vs Parasail
SambaNova sells fast tokens from its own chip. Parasail aggregates third-party GPUs and stands out on cheap batch for any Hugging Face model. Premium speed versus flexible, low-cost capacity.
By The Subconscious Team · Updated
SambaNova vs Parasail: key differences
These two sit at opposite ends of the latency and price trade. SambaNova owns the silicon: its RDU chip maps the model graph on-chip, and a three-tier memory design lets one system host very large models. Parasail owns no data centers. It aggregates GPUs from many providers behind one OpenAI compatible API and prices by parameter count and precision, so a 4B to 8B model costs $0.03 in and $0.06 out per million at FP4. Batch runs at half of serverless pricing, with cached tokens another 50% off.
Choose SambaNova when generation speed on a large model is the product, such as a coding copilot. Choose Parasail for evals, embeddings and offline data processing, or for moving startup traffic off a closed API onto dedicated open-model endpoints under ZDR and SLA terms. Parasail designed its real-time path around a 600ms p99 budget, but consistency depends on the underlying hardware providers. SambaNova's catalog is smaller, and its biggest speed numbers come from its own benchmarks on hardware still ramping.
What SambaNova and Parasail do
SambaNova
SambaNova designs its own inference chip, the Reconfigurable Dataflow Unit, and sells fast tokens on large open models through SambaCloud. The RDU maps the model graph onto the chip to cut trips to off-chip memory. A three-tier memory design of SRAM, HBM and bulk DRAM lets one system host very large models and hot swap between several of them in milliseconds. SambaCloud serves models like MiniMax M3 (in preview with a 1M context), DeepSeek V3.1, Llama 3.3 70B, Gemma 4 31B and GPT-OSS 120B, with speeds reported by Artificial Analysis.
Example models: MiniMax M3, GPT-OSS 120B, DeepSeek V3.1
Full SambaNova 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 SambaNova or Parasail?
SambaNova
Choose SambaNova for
- Fast decode for interactive agents on large models.
- Workloads switching between several resident models.
- Neoclouds that want a premium speed tier.
Parasail
Choose Parasail for
- Batch jobs on any Hugging Face model, private repos included.
- Transparent per-parameter pricing for small models.
- Commit-to-spend deals that avoid idle reserved GPUs.
SambaNova vs Parasail at a glance
| Attribute | SambaNova | Parasail |
|---|---|---|
| Model access | Open weights | Any Hugging Face model |
| Flagship models | MiniMax M3, GPT-OSS 120B, DeepSeek V3.1 | Kimi K3, DeepSeek V4.1 Flash, GLM-5.3, MiniMax M3 |
| Speed | ~800 tok/s on MiniMax M2.7 (SN50, SemiAnalysis) | 600ms p99 real-time budget |
| Price | $0.22 in, $0.59 out (GPT-OSS 120B) | Per-parameter rates; batch 50% off |
| Customization | Unknown | Private Hugging Face repos |
| Deployment | SambaCloud, racks for neoclouds | Serverless, elastic, dedicated, batch |
| Long context | Up to 1M (MiniMax M3, preview) | Varies by model |
Frequently asked questions
What is the difference between SambaNova and Parasail?
SambaNova sells fast tokens from its own chip. Parasail aggregates third-party GPUs and stands out on cheap batch for any Hugging Face model. Premium speed versus flexible, low-cost capacity.
When should I choose SambaNova over Parasail?
Fast decode for interactive agents on large models; Workloads switching between several resident models; Neoclouds that want a premium speed tier.
When should I choose Parasail over SambaNova?
Batch jobs on any Hugging Face model, private repos included; Transparent per-parameter pricing for small models; Commit-to-spend deals that avoid idle reserved GPUs.
Is SambaNova or Parasail cheaper?
SambaNova: $0.22 in, $0.59 out (GPT-OSS 120B). Parasail: Per-parameter rates; batch 50% off. The cheaper choice depends on the model and workload.
Which has more context, SambaNova or Parasail?
SambaNova: Up to 1M (MiniMax M3, preview). Parasail: Varies by model.
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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.