AI · alternatives · 2026

24 alternatives to PhAIL – Real-robot benchmark for AI models

I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with…

PhAIL is a real-world benchmark that measures how well vision-language-action AI models perform on warehouse bin-picking tasks using a Franka FR3 robot. It tests four leading models through hundreds of blind runs with… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1EF
Echo – Fable-level results at 1/3 the cost using open-weight models▲484
I’ve been building Echo (https://echo.tracerml.ai/), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task. It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined. That hypothetical system performed substantially better than any individual model in the pool.…
Jul 2026 · its alternatives →
2
Coarena by Coasty▲111
We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went. So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/. You just have to put in a task and two side by side windows with hidden models will show up and do the same task and at the end you vote which one did better(or none). We have a leaderboard where we rank all the…
Aug 2026 · coarena.ai · its alternatives →
3
oqoqo▲325
Most benchmarks today exist in curated environments and do not translate well to the real world. We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about. Oqoqo can: - Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot - Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI) - Create and share custom benchmarks for how…
Aug 2026 · oqoqo.ai · its alternatives →
4
V-JEPA 2▲198
Meta's world model for physical world understanding
2025 · ai.meta.com · its alternatives →
5
Dobb·E – towards home robots with an open-source platform▲394
Hi HN! Proud to share our open-source robot platform, Dobb·E, a home robot system that needs just 5 minutes of human teaching to learn new tasks. We've already taken Dobb·E to 10 different homes in New York, taught it 100+ tasks, and we are just getting started! I would love to hear your thoughts about this. Here are some more details, below (or see a Twitter thread with attached media: https://twitter.com/i/status/1729515379892826211 or https://nitter.net/i/status/1729515379892826211): We engineered Dobb·E to maximize efficiency, safety, and…
2023 · dobb-e.com · its alternatives →
6
Qwen3.5▲288
The 397B native multimodal agent with 17B active params
Feb 2026 · qwen.ai · its alternatives →
7
Ollama multimodal engine▲277
Run leading vision models locally with the new engine
2025 · ollama.com · its alternatives →
8
Agent Mode on Arena▲188
Get real-world tasks done with autonomous AI agents
Jun 2026 · arena.ai · its alternatives →
9BV
Benchmarking VLMs vs. Traditional OCR▲146
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
2025 · getomni.ai · its alternatives →
10
SmolVLA▲139
Powerful robotics VLA that runs on consumer hardware
2025 · huggingface.co · its alternatives →
11
ModelPilot▲94
Optimize Performance, Cost, Speed & Carbon for each prompt
Nov 2025 · modelpilot.co · its alternatives →
12PB
Pac-Bench – How well can models one-shot a Pac-Man game?▲80
Pac-Man bench: how well a model and harness can recreate Pac-Man from a single prompt.
24d ago · jonclegg.github.io · its alternatives →
13
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 →
14
Terminal-Bench-RL: Training long-horizon terminal agents with RL▲125
After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal/coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford's Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good! *What I did*: - Created a Claude Code-inspired agent (system msg + tools) - Built Docker-isolated GRPO training where each rollout gets its own container - Developed a multi-agent…
2025 · github.com · its alternatives →
15
APIEval-20▲121
An open benchmark for AI agents that test APIs
May 2026 · resources.kusho.ai · its alternatives →
16ΤB
Τ³-Bench is out – can agents handle complex docs and live calls?▲12
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 · its alternatives →
17
Rigyd▲59
Simulation-ready 3D assets for robotics simulation, at scale
May 2026 · rigyd.com · its alternatives →
18
ML-Dev-Bench – Benchmarking AI Agents on Real-World AI Workflows▲6
We’re excited to share ML-Dev-Bench, a new open-source benchmark that tests AI agents on real-world ML development tasks. Unlike typical coding challenges or Kaggle-style competitions, our benchmark simulates end-to-end ML workflows including: - Dataset handling and preprocessing - Debugging model and code failures - Implementing new model architectures - Fine-tuning and improving existing models With 30 diverse tasks, ML-Dev-Bench evaluates agents across critical stages of ML development. To complement this, we built Calipers, a framework that provides systematic performance evaluation and…
2025 · github.com · its alternatives →
19
OpenMark▲4
Benchmark AI models for YOUR use case
Jan 2026 · openmark.ai · its alternatives →
20
I ran a language model on a PS2▲46
The Emotion Engine has 32 MB of RAM total, so the trick is streaming weights from CD-ROM one matrix at a time during the forward pass — only activations, KV cache and embeddings live in RAM. This means models bigger than the RAM can still run, they just read more from disc. Had to build a custom quantized format (PSNT), hack endianness, write a tokenizer pipeline, and most of the PS2 SDK from scratch (releasing that separately). The model itself is also custom — a 10M param Llama-style architecture I trained specifically for this. And it works. On real hardware.
Mar 2026 · github.com · its alternatives →
21
Robot Utility Models: open-source robots working in new envs zero shot▲11
Hi all! Sharing our latest work on Robot Utility Models: open source robot models for some useful tasks like door or drawer opening at ~90% success rate that should just work out of the box (given that you have a robot, of course.) Why is this exciting? The state of the art for robot learning thus far has been reliant on pre-training/fine-tuning paradigm: models are first trained on large datasets, then you bring it to your own environment, collect more data, and fine-tune the model on that data. This is not ideal if you want to make robots that work in every home out of the box of…
2024 · robotutilitymodels.com · its alternatives →
22
PKC MARK▲5
A local AI benchmark tool for testing LLM, Diffusers, and Transformers models. - PKC0412/pkc-mark-benchmark
Dec 2025 · github.com · its alternatives →
23
Test AI Models▲23
Compare AI models side-by-side on same prompt
Feb 2026 · testaimodels.com · its alternatives →
24
Model-Prime▲7
The First and Only Turn-Key Robotics Data Platform
2025 · model-prime.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 →