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Sail Research vs Wafer
Both serve open models to coding agents, but in opposite directions. Wafer tunes stacks to run faster on the same weights. Sail Research cuts the price for work that can wait.
By The Subconscious Team · Updated
Sail Research vs Wafer: key differences
Sail Research and Wafer make opposite bets on the same weights. Wafer's agents tune batching, decoding, quantization and kernels, and it reports Qwen 3.5 397B running 2.8x faster than stock SGLang. Sail packs as much work as possible into each GPU and asks customers how long they can wait, then prices 30 to 85% below traditional providers. Wafer sells per-token serverless access for coding harnesses, plus dedicated deployments tuned to an SLO. Sail sells per-window pricing and Sailboxes for agents that run indefinitely.
The dividing line is whether a human is watching. A developer inside Claude Code or Cline wants the fast turn Wafer targets. A code-review agent that scans a repo for three to four hours without supervision, the kind Detail.dev runs on Sail, gains nothing from speed and a lot from the discount. Both are young. Wafer's speed numbers are self-reported against stock baselines, and Sail's 3x to 10x savings claim is its own. Both catalogs are open models only.
What Sail Research and Wafer do
Sail Research
Sail Research sells throughput over latency. Founders Neil Movva and Samir Menon built a serving stack that packs as much work as possible into every GPU, and customers state how long they can wait through completion windows. Its docs quote each window against traditional providers: the default asap window serves at low latency for 30 to 70% less, balanced for 45 to 80% less, and the off-peak flex window for 55 to 85% less. Batch requests default to flex, and LoRA and custom-tool requests default to balanced.
Example models: Kimi K2.6, GLM-5.3
Full Sail Research profileWafer
Wafer builds AI agents that act as GPU performance engineers, then sells inference on the stacks those agents tune. The company came out of Y Combinator's Summer 2025 batch as a "Cursor for CUDA" that turned slow PyTorch into custom kernels. Founders Emilio Andere and Steven Arellano are based in San Francisco. Wafer raised a $4M seed led by Fifty Years in April 2026 and a $40M Series A co-led by Marathon and Chemistry in September 2026 at a $220M post-money valuation, with AMD Ventures and Wing joining. Its agents profile a workload, generate candidate configs across batching, decoding, quantization, engines, kernels and hardware, measure each one and deploy the winner.
Example models: GLM-5.3, DeepSeek V4.1 Flash
Full Wafer profileShould you choose Sail Research or Wafer?
Sail Research
Choose Sail Research for
- Background agents with no human waiting on each turn.
- The lowest price per task when latency does not matter.
- Persistent agent sandboxes on the same platform.
Wafer
Choose Wafer for
- Interactive coding agents on big open models.
- Per-token access for Claude Code and Cline.
- Dedicated endpoints with a strict latency SLO.
Sail Research vs Wafer at a glance
| Attribute | Sail Research | Wafer |
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | Kimi K2.6, GLM-5.3, GPT-OSS 120B | GLM-5.3, DeepSeek V4.1 Flash |
| Speed | Low-latency default; slower windows cheaper | ~168 tok/s on GLM-5.3; 2–2.8x vs stock vLLM or SGLang (vendor) |
| Price | 30–85% below other hosts by completion window | Per token, prepaid credits |
| Customization | Customer LoRA fine-tunes | Agent-tuned dedicated deployments |
| Deployment | API plus Sailboxes | Serverless, dedicated |
| Long context | Varies by model | Up to 1M (GLM-5.3, DeepSeek V4.1 Flash) |
Frequently asked questions
What is the difference between Sail Research and Wafer?
Both serve open models to coding agents, but in opposite directions. Wafer tunes stacks to run faster on the same weights. Sail Research cuts the price for work that can wait.
When should I choose Sail Research over Wafer?
Background agents with no human waiting on each turn; The lowest price per task when latency does not matter; Persistent agent sandboxes on the same platform.
When should I choose Wafer over Sail Research?
Interactive coding agents on big open models; Per-token access for Claude Code and Cline; Dedicated endpoints with a strict latency SLO.
Is Sail Research or Wafer cheaper?
Sail Research: 30–85% below other hosts by completion window. Wafer: Per token, prepaid credits. The cheaper choice depends on the model and workload.
Which has more context, Sail Research or Wafer?
Sail Research: Varies by model. Wafer: Up to 1M (GLM-5.3, DeepSeek V4.1 Flash).
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.