According to AlphaMoat, in 2026-08 Tensormesh (tensormesh.ai) received 9,832 monthly visits (+10.5% MoM) — ranked #9,904 of 17,407 AI websites with traffic data, and #1,072 of 1,768 in Programming; its largest market is United States (48.5% of visits).
What is Tensormesh
Tensormesh improves AI inference efficiency by reusing KV caches across queries, caching repeated prompts, documents, tools, and workflow contexts so AI applications run faster and cost less, with cached tokens free. The product is built by the founding team of LMCache.
- 01Tensormesh Inference: Serverless and Reserved inference with built-in context caching
- 02Tensormesh Operator: brings production-grade context caching to local AI stacks (coming soon)
- 03seamless OpenAI API compatibility, adding caching without changing the experience
- 04turns repeated inputs into free cached tokens, lowering per-request cost
- 05accelerates recursive workflows reusing the same context
- 06provides a cost-savings calculator and documentation
Usage-based billing; cached tokens are always 0.00 (0) dollars; each model is priced per 1,000,000 tokens (dollars): the input tier includes 0.07, 0.14, 0.15, 0.22, 0.30, 0.32, 0.45, 0.50, 0.60, 1.40, 2.00, 2.50, 3.20, 4, and 4.40; the output tier includes 0.28, 0.56, 0.60, 0.88, 0.96, 1.20, 1.80, 2.00, 3.60, and 4; corresponding to models such as Qwen, OpenAI, DeepSeek, Google, Moonshot AI, Mistral, and MiniMax; reserved or dedicated inference tiers are about 1,825 dollars and other stepped prices.
12-Month Traffic Trend
Visits by Country · Top 5
Popular in Programming
Data month: 2026-08 · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.