AI · alternatives · 2026

24 alternatives to Killed by LLM – I catalogued AI benchmarks we thought would last years

Killed by LLM is a catalog documenting AI benchmarks that became obsolete faster than expected. It tracks benchmarks researchers believed would remain relevant for years but were surpassed by large language models in… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
Deepmark AI▲97
LLM benchmarking tool for task-specific metrics on your data
2023 · github.com · its alternatives →
2
LLM Stats▲293
I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Oct 2025 · llm-stats.com · its alternatives →
3
Death by AI▲160
I recently created a simple but efficient tool to help document writers generate a list of acronyms and definitions. Here comes chatGPT. At home, it’s all fun and games until I realize this thing might be able to do exactly what my “dumb” website does: "Give me the list of acronyms used in the previous text and their definitions"... It had a good-looking answer. Of course... At first I was bummed, but quickly realized that even though the output looked neat, it was also not reliable (missing some acronyms, adding some that were not in the original text, albeit related to it). Anyway, the…
2022 · deathbyai.com · its alternatives →
4
BenchLLM by V7▲133
Test-driven development for LLMs
2023 · benchllm.com · its alternatives →
5
Find the best local LLM for your hardware, ranked by benchmarks▲283
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm
May 2026 · github.com · its alternatives →
6
LocalScore – Local LLM Benchmark▲124
Hey Folks! I've been building an open source benchmark for measuring local LLM performance on your own hardware. The benchmarking tool is a CLI written on top of Llamafile to allow for portability across different hardware setups and operating systems. The website is a database of results from the benchmark, allowing you to explore the performance of different models and hardware configurations. Please give it a try! Any feedback and contribution is much appreciated. I'd love for this to serve as a helpful resource for the local AI community. For more check out: - Website:…
2025 · localscore.ai · its alternatives →
7AT
A tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)▲55
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 →
8
LLM Explorer▲152
Find your best LLM for a local inference
2023 · its alternatives →
9UD
Unify – Dynamic LLM Benchmarks and SSO for Multi-Vendor Deployment▲91
Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…
2024 · its alternatives →
10
Trails▲81
Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app · its alternatives →
11
APIEval-20▲121
An open benchmark for AI agents that test APIs
May 2026 · resources.kusho.ai · its alternatives →
12
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)▲45
G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
13
Open-source model and scorecard for measuring hallucinations in LLMs▲65
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
14
Deepmark AI- LLM assessment tool for task-specific metrics on your data▲36
Deepmark AI enables a unique testing environment for language models (LLM) assessment on task-specific metrics and on your own data so your GenAI-powered solution has predictable and reliable performance. - IngestAI/deepmark
2023 · github.com · its alternatives →
15
Open Source LLM Performance Tracker▲28
An open source Next app template to monitor your AI apps
2025 · github.com · its alternatives →
16
LLMs can be susceptible to a new kind of malware▲17
New ways of breaking app-integrated LLMs . Contribute to greshake/llm-security development by creating an account on GitHub.
2023 · github.com · its alternatives →
17OS
OpenSkills – Stop bloating your LLM context with unused instructions▲9
Hello HN, I’ve been building AI agents lately and ran into a common "Context Bloat" problem. When an agent has 20+ skills, stuffing every system prompt, reference doc, and tool definition into a single request quickly hits token limits and degrades model performance (the "lost in the middle" problem). To solve this, I built OpenSkills, an open-source SDK that implements a Progressive Disclosure Architecture for agent skills. The Core Concept: Instead of loading everything upfront, OpenSkills splits a skill into three layers: Layer 1 (Metadata): Light-weight tags and triggers (always loaded…
Jan 2026 · its alternatives →
18
Open LLM Benchmark▲1
Reproducible benchmarks for evaluating AI models
Aug 2026 · github.com · its alternatives →
19
The Model Graveyard▲8
Know when your AI model dies — before your app breaks
Jul 2026 · aimodelgraveyard.com · its alternatives →
20
AnyLLM▲20
10+ LLMs at 10x speed. Think we're kidding. Test it now!
2025 · its alternatives →
21
LLM Champions▲7
An AI gaming benchmark. Lmarena, but with games.
Nov 2025 · llmchampions.com · its alternatives →
22
LLM-Term – Simple Rust-based CLI assist tool▲32
Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com · its alternatives →
23
10x better performance from the Coding Harnesses with LLM-wiki▲16
Build source-backed knowledge bases with Claude Code, Codex, OpenCode, or any AI agent. Export Project Knowledge Checkpoints, apply personal specialist review methods, shape Ideas, and promote approved work into Projects.
Jun 2026 · llm-wiki.net · its alternatives →
24
LLM Playground, compare results side by side▲14
Test and compare results from Large Language Models (LLMs) simultaneously, including Anthropic's Claude 1.2, OpenAI's GPT-4, GPT-3.5 turbo, and Cohere's CommandXL Nightly. Analyze the results side-by-side in a single UI on top of LLM APIs.
2023 · retool.com · 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 →