Alternatives
Products that do what TP Benchmark does
Transfer Pricing Comparables screening done by AI
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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
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15 MCP tools. 27 retailers. Search, compare, buy
May 2026 · cli-market.dev
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Benchi is a CLI tool for running benchmarks and collecting metrics. It's using Docker Compose to orchestrate the infrastructure and tools being benchmarked, making it repeatable and runnable on different machines. It allows you to run the same benchmark for different tools and compare the collected results. The repository contains a simple example. For a more elaborate example see how we use Benchi to compare data pipelines running on Conduit and Kafka Connect, two data streaming tools (still work in progress): https://github.com/ConduitIO/streaming-benchmarks
2025 · github.com
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AI-leveraged analysis of prediction markets finds the edge
May 2026 · apps.apple.com
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τ-Bench is an open benchmark for evaluating AI agents on grounded, multi-turn customer service tasks with verifiable outcomes. It's been great to see the community adopt it since launch — this is now the third iteration. With τ³-Bench, we're extending it to two new settings: knowledge-intensive retrieval and full-duplex voice. τ-Knowledge: agents must navigate ~700 interconnected policy documents to complete multi-step tasks. Best frontier model (GPT-5.2, high reasoning) hits ~25%. The surprising part: even when you hand the model the exact documents it needs, performance only reaches ~40%.…
Mar 2026
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Compare MSPs with AI-powered trust scores & insights
May 2026 · comparemsp.com
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It's extremely difficult for founders, recruiters and hiring managers to screen their candidates for AI proficiency at scale. That's why we built Corepoints. You can create and send OAs where AI usage (with AI chat) is a core metric. You have full control of the testing environment: hallucinations, data leakages, LLM behavior + Grade candidates on aspects such as their answer accuracy (of course), prompting quality, reasoning quality, hallucination susceptibility, token usage, and more. We're currently doing a demo/beta run for about the next month or so that we can iterate off…
Mar 2026 · corepoints.ai
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