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AI · alternatives · 2026

24 alternatives to Inferock Bench

Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity receipts. - inferock/inferock-bench

Inferock Bench is a local proxy that sits between applications and LLM API providers like OpenAI, Anthropic, and Gemini. It tracks token usage, failures, and retries for each API call, then generates receipts showing… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Inferock▲263

    Serverless inference, with credits back for failed calls.

    22d ago · inferock.ai · its alternatives →

  2. 2
    Tokenwise▲143

    A smart LLM proxy that shows where you're overpaying

    Jun 2026 · tokenwisehq.com · its alternatives →

  3. 3

    OpenTelemetry-native observability for agents and LLMs

    Aug 2026 · openobserve.ai · its alternatives →

  4. 4
    ReliAPI▲87

    Stop losing money on failed OpenAI and Anthropic API calls.

    Dec 2025 · kikuai-lab.github.io · its alternatives →

  5. 5AT

    I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

    2025 · llmapitest.com · its alternatives →

  6. 6

    Benchmarks local LLM engines on your hardware

    Aug 2026 · github.com · its alternatives →

  7. 7

    Immutable, scalable, and easy to use ledger service. - hoophq/sequence

    2020 · github.com · its alternatives →

  8. 8

    Know which commit blew up your LLM bill

    May 2026 · github.com · its alternatives →

  9. 9

    See your LLM token bill before you hit send.

    2025 · tokenomy.ai · its alternatives →

  10. 10BA

    Hi HN, Erik here. Today we launch Butter, an OpenAI-compatible API proxy that caches LLM generations and serves them deterministically on revisit. Since April, we’ve been working on this concept of “muscle memory,” or deterministic replay, for agent systems performing automations. You may recall our first post in May, launching a python package called Muscle Mem: https://news.ycombinator.com/item?id=43988381 Since then, the product has evolved entirely, now taking the form of an LLM Proxy. For a deep dive into this process, check out:…

    2025 · docs.butter.dev · its alternatives →

  11. 11

    Code with AI on your terms. Local-first, BYO model

    May 2026 · benchlabs.app · its alternatives →

  12. 12

    Know exactly what your team is using Claude for

    Jun 2026 · aitokenscope.com · its alternatives →

  13. 13

    Stop runaway LLM API spend before it happens

    Jun 2026 · github.com · its alternatives →

  14. 14

    Hey HN! Built this after watching engineering teams repeatedly get surprised by AI API invoices — no visibility into spend until the bill landed. TokenWatch connects to your OpenAI, Anthropic, and Gemini keys and gives you: - Real-time spend dashboard across projects - Budget thresholds with proactive alerts - Anomaly detection for unusual cost spikes - Duplicate call detection (biggest source of wasted spend I've seen) Free tier supports up to 3 AI systems. Built this in ~2 days as a solo project. Happy to answer anything about the build or the problem space.

    Mar 2026 · tokenwatch-ten.vercel.app · its alternatives →

  15. 15

    Cuts your LLM API costs by 40-70%. One line of code.

    May 2026 · semanticguard.dev · its alternatives →

  16. 16

    Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…

    Jul 2026 · oodle.ai · its alternatives →

  17. 17

    Budget-first LLM cost metering proxy for any stack

    Jun 2026 · tokonomics.ca · its alternatives →

  18. 18
    Bursora▲26

    Cap your AI spend before the bill lands

    Jul 2026 · bursora.com · its alternatives →

  19. 19

    Monitor every LLM API call and cost in real time

    Mar 2026 · aicostguard.com · its alternatives →

  20. 20

    All your LLM costs:OpenAI, Anthropic, Gemini — on one screen

    May 2026 · seecost.watch · its alternatives →

  21. 21

    Track every LLM call, token, cost, and latency in one place

    Jun 2026 · inferly.dev · its alternatives →

  22. 22

    Keep your OpenClaw agents running. Free beta, no code change

    Apr 2026 · openinfer.io · its alternatives →

  23. 23

    CLI to monitor your program's OpenAI API token usage. - yagil/tokmon

    2023 · github.com · its alternatives →

  24. 24

    Local LLM gateway & cost tracker

    Jul 2026 · 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 →