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Moonshot AI vs Wafer
Moonshot's slow, strong Kimi K3 against Wafer's agent-tuned open models on a $10-a-week pass. The trade is top open capability versus speed and flat pricing.
By The Subconscious Team · Updated
Moonshot AI vs Wafer: key differences
Wafer's pitch starts where Kimi K3 struggles. K3 runs around 33 tokens per second on Moonshot's API, and Wafer's agents tune inference stacks to run open models faster on the same weights. Wafer reports its Qwen 3.5 397B running 2.8x faster than stock SGLang, and GLM 5.1 and DeepSeek V4 Pro each 2x faster than a vLLM baseline, all self-reported against stock setups. Its serverless Wafer Pass costs from $10 a week, covers every hosted model and drops into Claude Code, Cline and OpenHands. Kimi is not in Wafer's listed catalog, so switching means switching models too.
K3 still offers things that catalog may not match: near-frontier coding scores confirmed by independent testers, a 1M window and native vision, billed at $3 in and $15 out with cached input at $0.30. Wafer is a very young company with a small hosted catalog, and its speedups deserve a check against hosts that already tune their stacks. For dedicated work, Wafer builds deployments around a customer's model and SLO on NVIDIA or AMD. Pick K3 for hard unattended work, and Wafer for interactive coding at a flat cost.
What Moonshot AI and Wafer do
Moonshot AI
Moonshot AI is the Beijing lab behind the Kimi models. Its flagship Kimi K3 launched July 16, 2026 as a 2.8 trillion parameter mixture-of-experts model that activates 16 of 896 experts per token, with native vision and a 1M token context. It is the first open model in the 3T class, and full weights landed on Hugging Face on July 27. The hosted API costs $3 in and $15 out per million tokens, with cached input at $0.30, and it runs through an OpenAI-compatible endpoint, Kimi Code in the terminal, OpenRouter and Cloudflare Workers AI.
Example models: Kimi K3, Kimi K2.6
Full Moonshot 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. 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 Moonshot AI or Wafer?
Moonshot AI
Choose Moonshot AI for
- Hard coding tasks where K3's benchmark results matter
- 1M context and native vision in one model
- Per-token billing with cheap cached input
Wafer
Choose Wafer for
- Interactive coding on big open models at a flat weekly cost
- Dedicated endpoints tuned to a latency SLO
- Hedging GPU supply across NVIDIA and AMD
Moonshot AI vs Wafer at a glance
| Attribute | Moonshot AI | Wafer |
|---|---|---|
| Model access | Open weights, custom license | Open weights |
| Flagship models | Kimi K3, Kimi K2.6 | Qwen 3.5 397B Turbo, GLM 5.1 Turbo |
| Speed | ~33 tok/s on Kimi K3 | 2–2.8x vs stock vLLM or SGLang |
| Price | $3 in, $15 out (Kimi K3) | Wafer Pass from $10 a week |
| Customization | Open weights to fine-tune | Agent-tuned dedicated deployments |
| Deployment | API, Kimi Code, OpenRouter | Serverless pass, dedicated |
| Long context | 1M | Varies by model |
Frequently asked questions
What is the difference between Moonshot AI and Wafer?
Moonshot's slow, strong Kimi K3 against Wafer's agent-tuned open models on a $10-a-week pass. The trade is top open capability versus speed and flat pricing.
When should I choose Moonshot AI over Wafer?
Hard coding tasks where K3's benchmark results matter; 1M context and native vision in one model; Per-token billing with cheap cached input.
When should I choose Wafer over Moonshot AI?
Interactive coding on big open models at a flat weekly cost; Dedicated endpoints tuned to a latency SLO; Hedging GPU supply across NVIDIA and AMD.
Is Moonshot AI or Wafer cheaper?
Moonshot AI: $3 in, $15 out (Kimi K3). Wafer: Wafer Pass from $10 a week. The cheaper choice depends on the model and workload.
Which has more context, Moonshot AI or Wafer?
Moonshot AI: 1M. Wafer: 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.