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DeepSeek vs Wafer
Wafer reports running DeepSeek V4 Pro 2x faster than a vLLM baseline on agent-tuned stacks, sold via a flat weekly pass. DeepSeek's own API is metered and cheapest off-peak.
By The Subconscious Team · Updated
DeepSeek vs Wafer: key differences
Wafer serves DeepSeek V4 Pro among its models, and it reports that its agent-tuned stack runs it 2x faster than a vLLM baseline. That number is self-reported against a stock setup, not a tuned host. Wafer Pass, a flat-rate subscription from $10 a week, covers every hosted model and plugs into Claude Code, Cline and OpenHands. DeepSeek's own API bills per token, with V4 Pro at $1.32 in and $3.96 out at peak and half off-peak, and cache hits at a few cents per million or less.
Heavy coding-agent users may find a flat pass cheaper than metered tokens, and faster serving helps interactive work. Wafer also builds dedicated deployments that keep retuning to a customer's traffic and SLO on NVIDIA or AMD. DeepSeek direct gets you new DeepSeek releases from the source, with 1M context and 384K output, but stores hosted data in China. Wafer is a very young company with a small catalog. Batch and metered API workloads lean DeepSeek. Interactive coding on a fixed budget leans Wafer.
What DeepSeek and Wafer do
DeepSeek
DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its API now serves two models, both with 1M context and 384K max output. V4.1 Flash shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. V4 Pro, generally available since August 13, costs $1.32 in and $3.96 out at peak. Cache hits cost a few cents per million or less, and the weights ship on Hugging Face under an MIT license.
Example models: DeepSeek V4.1 Flash, DeepSeek V4 Pro
Full DeepSeek 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. 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: Qwen 3.5 397B Turbo, GLM 5.1 Turbo
Full Wafer profileShould you choose DeepSeek or Wafer?
DeepSeek vs Wafer at a glance
| Attribute | DeepSeek | Wafer |
|---|---|---|
| Model access | Open weights (MIT) | Open weights |
| Flagship models | DeepSeek V4.1 Flash, V4 Pro | Qwen 3.5 397B Turbo, GLM 5.1 Turbo |
| Speed | ~35 tok/s on V4 Pro | 2–2.8x vs stock vLLM or SGLang |
| Price | Off-peak hours at half price | Wafer Pass from $10 a week |
| Customization | Open weights to fine-tune | Agent-tuned dedicated deployments |
| Deployment | First-party API, Hugging Face weights | Serverless pass, dedicated |
| Long context | 1M, 384K max output | Varies by model |
Frequently asked questions
What is the difference between DeepSeek and Wafer?
Wafer reports running DeepSeek V4 Pro 2x faster than a vLLM baseline on agent-tuned stacks, sold via a flat weekly pass. DeepSeek's own API is metered and cheapest off-peak.
When should I choose DeepSeek over Wafer?
Metered API use with off-peak savings; New DeepSeek releases from the source; Batch and background workloads.
When should I choose Wafer over DeepSeek?
Flat-rate DeepSeek access in coding harnesses; Interactive speed on big open models; Dedicated endpoints tuned to a latency SLO.
Is DeepSeek or Wafer cheaper?
DeepSeek: Off-peak hours at half price. Wafer: Wafer Pass from $10 a week. The cheaper choice depends on the model and workload.
Which has more context, DeepSeek or Wafer?
DeepSeek: 1M, 384K max output. Wafer: Varies by model.
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