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DeepSeek vs Wafer
Wafer reports running DeepSeek V4 Pro 2x faster than a vLLM baseline on agent-tuned stacks, sold per token. 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 Serverless bills per token from prepaid credits and plugs into Claude Code, Cline and OpenHands. DeepSeek's own API is phasing out V4 Pro and bills per token, with V4.1 Flash at $0.30 in and $1.20 out at peak and half off-peak, and cache hits at a few cents per million or less.
For heavy coding-agent users, 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 main model is V4.1 Flash, with 1M context and 384K max output, which shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. An updated checkpoint, V4.1-Flash-1017, replaced it on October 17 at the same price. DeepSeek had planned to route deepseek-v4-pro requests to V4.1 Flash from September 14 but reversed course, and still serves V4 Pro at $1.32 in and $3.96 out at peak until a V4.1 Pro launches. 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
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. 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 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 | GLM-5.3, DeepSeek V4.1 Flash |
| Speed | ~209 tok/s on V4.1 Flash | ~168 tok/s on GLM-5.3; 2–2.8x vs stock vLLM or SGLang (vendor) |
| Price | Off-peak hours at half price | Per token, prepaid credits |
| Customization | Open weights to fine-tune | Agent-tuned dedicated deployments |
| Deployment | First-party API, Hugging Face weights | Serverless, dedicated |
| Long context | 1M, 384K max output | Up to 1M (GLM-5.3, DeepSeek V4.1 Flash) |
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 per token. 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?
Tuned DeepSeek serving 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: Per token, prepaid credits. The cheaper choice depends on the model and workload.
Which has more context, DeepSeek or Wafer?
DeepSeek: 1M, 384K max output. Wafer: Up to 1M (GLM-5.3, DeepSeek V4.1 Flash).
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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.