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AI · alternatives · 2026

24 alternatives to ZenMux

An enterprise-grade LLM gateway with automatic compensation

ZenMux is an enterprise-grade LLM gateway that provides developers with a unified API for accessing multiple large language models. It includes smart routing capabilities to direct requests efficiently and features an… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1
    LLM Gatewayfree tier▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

    2025 · llmgateway.io · its alternatives →

  2. 2

    Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

    Dec 2025 · truefoundry.com · its alternatives →

  3. 3

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  4. 4
    FastRouter.aifree tier, from $199/mo▲364

    Route requests to the right LLM for cost, latency & quality

    21d ago · fastrouter.ai · its alternatives →

  5. 5RY

    Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https:&#x2F;&#x2F;youtu.be&#x2F;ZpY6SIkBosE Best results when training a custom router on your own prompt data: https:&#x2F;&#x2F;youtu.be&#x2F;9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…

    2024 · unify.ai · its alternatives →

  6. 6

    We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai&#x2F;gpt-4" to "anthropic&#x2F;claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!

    2025 · github.com · its alternatives →

  7. 7

    We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

    Mar 2026 · github.com · its alternatives →

  8. 8

    Hey, HN! With all recent agentic workflows being primarily terminal- and tmux-based, I wanted to share a little project I created about decade ago. I've continued to use this as my primary terminal "window manager" and wanted to share in case others might find it useful. I would love to hear about other's terminal-based workflows and any other tools you may use with similar functionality.

    Jan 2026 · github.com · its alternatives →

  9. 9IB

    We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

    2025 · blog.kuzudb.com · its alternatives →

  10. 10

    The fast, easy and cheap OpenAI alternative

    2023 · lemonfox.ai · its alternatives →

  11. 11

    An AI Cost Optimization Infrastructure for LLM Applications

    Mar 2026 · getpromptly.in · its alternatives →

  12. 12
    OneMux▲10

    Low-cost, OpenAI-compatible API for multiple AI models

    Jul 2026 · onemux.net · its alternatives →

  13. 13

    Connect once to every major AI model. Run AI workflows in the background while your backend controls what AI sees.

    Jan 2026 · modelriver.com · its alternatives →

  14. 14

    ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml

    2020 · github.com · its alternatives →

  15. 15

    Run Claude Code, Codex & Gemini in parallel on Windows & macOS — git worktree fan-out with atomic hunk adoption, approval gates, reboot-surviving sessions - openwong2kim/wmux

    Jul 2026 · github.com · its alternatives →

  16. 16

    Self-hosted LLM router. Cost effective, deterministic, and fast. Secure and private by default. - Northwood-Systems/millwright

    Jul 2026 · github.com · its alternatives →

  17. 17

    We are the developers of Phoenix, which we released in April of this year with a goal of bringing LLM observability to the notebook. In the time since, the growth of LLM frameworks and complex agent workflows led us to add support for LLM spans and traces and introduce a simple Eval harness for testing the data from those spans. The latest Traces & Spans release of Phoenix offers: -Out of the box tracing for LlamaIndex and LangChain -Fully local execution, no data sent anywhere, outside of your own LLM calls -Ability to get a common dataframe format across frameworks back to a notebook for…

    2023 · github.com · its alternatives →

  18. 18
    AnyLLM▲20

    10+ LLMs at 10x speed. Think we're kidding. Test it now!

    2025 · its alternatives →

  19. 19

    Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking. - mozilla-ai/otari

    Jul 2026 · github.com · its alternatives →

  20. 20

    The Smartest AI Gateway for Developers

    Jun 2026 · megallm.io · its alternatives →

  21. 21

    on-premise platform for managing and orchestrating LLM model

    Jun 2026 · llmui.org · its alternatives →

  22. 22SH
  23. 23
    Chainix▲12

    Hey everyone! I built this because I was tired of manually handling customer support for my web app and couldn't get an AI system to handle requests reliably. I tried different AI tools to help with support tickets, but when they handled requests incorrectly, it was impossible to determine why, and even harder to figure out what I needed to change to improve the system. I wanted to break down my logic of how the AI should think through the problem step-by-step, but everything had to be crammed into one prompt. Without the volume of clean training data needed for fine-tuning, I was stuck with…

    2025 · chainix.ai · its alternatives →

  24. 24

    Talk to multiple LLMs thru a unified API

    2025 · ai-gateway.dev · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →