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Z.ai vs Wafer
Wafer serves GLM-5.3 on stacks it says run GLM up to 2x faster than stock vLLM; Z.ai serves it on an $18 monthly plan. Speed and location versus price and recency.
By The Subconscious Team · Updated
Z.ai vs Wafer: key differences
GLM sits on both menus. Wafer lists GLM-5.3 among its hosted models and reports GLM 5.1 running 2x faster than a vLLM baseline on its agent-tuned stack, a self-reported comparison against stock software. Z.ai, the lab that makes GLM, serves GLM-5.3 at $1.40 in and $4.40 out. Wafer bills serverless use per token and works in Claude Code, Cline and OpenHands. The GLM Coding Plan starts at $18 a month on the Lite tier and runs Claude Code through an Anthropic compatible endpoint.
The choice comes down to model generation, speed and location. Z.ai gets new GLM versions first and prices them low, but its servers sit mostly in China, adding 100 to 200ms from the US or Europe, and credits cost double during weekday peak hours. Wafer tunes for speed and runs on NVIDIA or AMD, but it is a very young company with a small catalog. Wafer also builds dedicated deployments around a customer's model and SLO, which could suit a team that fine-tunes open GLM weights and needs them fast.
What Z.ai and Wafer do
Z.ai
Z.AI is the international brand of Chinese lab Zhipu AI, maker of the GLM models. Its current flagship, GLM-5.3, shipped August 17, 2026 at $1.40 in and $4.40 out per million tokens, with cached input at $0.26. Its weights came out August 28 under a custom GLM-5.3 License that requires a security review for hosts with more than $10B in yearly revenue. GLM-5.3-Flash, a 320B multimodal model with 18B active, costs $0.15 in and $0.50 out, and several older Flash models are priced at zero, a real free tier instead of trial credits. GLM-5, released in February 2026, is a 744B mixture-of-experts model under an MIT license, and at launch it ranked first among open-weight models on the Artificial Analysis index with a record-low hallucination score.
Example models: GLM-5.3, GLM-5.3-Flash
Full Z.ai 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 Z.ai or Wafer?
Z.ai
Choose Z.ai for
- The newest GLM-5.3 models first
- A flat $18 monthly plan instead of per-token billing
- Zero-cost trials on older Flash models
Wafer
Choose Wafer for
- Faster GLM inference on a tuned stack
- Per-token access with OpenAI and Anthropic compatible APIs
- Dedicated GLM deployments tuned to a latency SLO
Z.ai vs Wafer at a glance
| Attribute | Z.ai | Wafer |
|---|---|---|
| Model access | Open weights (GLM-5.3 License; MIT on Flash and older) | Open weights |
| Flagship models | GLM-5.3, GLM-5.3-Flash | GLM-5.3, DeepSeek V4.1 Flash |
| Speed | ~80 tok/s on GLM-5.3 | ~168 tok/s on GLM-5.3; 2–2.8x vs stock vLLM or SGLang (vendor) |
| Price | $1.40 in, $4.40 out (GLM-5.3); free Flash tier | Per token, prepaid credits |
| Customization | Open weights; GLM-5.3 License adds review for large hosts | Agent-tuned dedicated deployments |
| Deployment | API, GLM Coding Plan | Serverless, dedicated |
| Long context | 1M (GLM-5.3) | Up to 1M (GLM-5.3, DeepSeek V4.1 Flash) |
Frequently asked questions
What is the difference between Z.ai and Wafer?
Wafer serves GLM-5.3 on stacks it says run GLM up to 2x faster than stock vLLM; Z.ai serves it on an $18 monthly plan. Speed and location versus price and recency.
When should I choose Z.ai over Wafer?
The newest GLM-5.3 models first; A flat $18 monthly plan instead of per-token billing; Zero-cost trials on older Flash models.
When should I choose Wafer over Z.ai?
Faster GLM inference on a tuned stack; Per-token access with OpenAI and Anthropic compatible APIs; Dedicated GLM deployments tuned to a latency SLO.
Is Z.ai or Wafer cheaper?
Z.ai: $1.40 in, $4.40 out (GLM-5.3); free Flash tier. Wafer: Per token, prepaid credits. The cheaper choice depends on the model and workload.
Which has more context, Z.ai or Wafer?
Z.ai: 1M (GLM-5.3). Wafer: Up to 1M (GLM-5.3, DeepSeek V4.1 Flash).
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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.