Dev tools · alternatives · 2026

24 alternatives to Hlas-1: open-weight 3B params TTS with frontier performance

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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 1 we have checked on their own sites, 1 of them free or with a free tier.

1
Dia, an open-weights TTS model for generating realistic dialogue▲652
A TTS model capable of generating ultra-realistic dialogue in one pass. - nari-labs/dia
2025 · github.com · its alternatives →
2
Kitten TTS – 25MB CPU-Only, Open-Source TTS Model▲1,003
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
2025 · github.com · its alternatives →
3
Llama 3.2 Interpretability with Sparse Autoencoders▲579
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
2024 · github.com · its alternatives →
4EF
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 →
5
GPT-4.1 in the API▲375
Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API
2025 · openai.com · its alternatives →
6
Parallax by Gradient▲334
Host LLMs across devices sharing GPU to make your AI go brrr
Oct 2025 · github.com · its alternatives →
7
A hash array-mapped trie implementation in C▲171
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com · its alternatives →
8
Inworld TTSfree tier, from $25/mo▲318
Hey HN, this is Igor, one of the engineers behind Inworld Runtime, which we're releasing today in public preview. We built it to solve the common problem we and our customers had: engineers spend more time on AI ops and plumbing than on actual feature development. This was often due to the challenge of using Python for I/O-bound, high-concurrency workloads and complexity maintaining pipelines with streams that use always-changing ML models. Our solution is a high-performance runtime written in C++ with the core idea of defining AI logic as graphs. For instance, a basic voice-to-voice…
2025 · inworld.ai · its alternatives →
9
Open AI o3 API▲141
Advanced reasoning models with safety-first innovation.
2024 · openai.com · its alternatives →
10
We beat Gemini Embedding 2 by training only 16M params (open weights)▲7
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Jul 2026 · huggingface.co · its alternatives →
11
Meta Llama 3▲159
The most capable openly available LLM to date
2024 · ai.meta.com · its alternatives →
12
Dream 7B▲191
Powerful Open Diffusion LLM, Beyond Autoregressive
2025 · hkunlp.github.io · its alternatives →
13
Pestle-27B-Ternary▲9
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Aug 2026 · huggingface.co · its alternatives →
14
A 0.3B model that redacts PII in all 24 EU languages offline▲6
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
May 2026 · huggingface.co · its alternatives →
15
A 150M model that extracts verbatim evidence spans for RAG, no LLM call▲6
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Jun 2026 · huggingface.co · its alternatives →
16
TWiML Talk #1 – Clare Corthell▲62
Open source data science masters, hybrid AI
2016 · twimlai.com · its alternatives →
17UD
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 →
18
Mimic 3▲77
Privacy-focused neural text-to-speech (TTS) engine
2022 · community.openconversational.ai · its alternatives →
19
Open-source model to chat with your documents/data▲8
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
2023 · huggingface.co · its alternatives →
20
Hacker News RSS Feed Directory▲8
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Apr 2026 · huggingface.co · its alternatives →
21
We Beat MLPerf: Modern Storage for KV Offload and LLM Training▲35
High performance storage engine for efficient LLM inference and GPU Training.
Sep 2026 · theopenlake.com · its alternatives →
22
A New 34B Open Source LLM, Astonishing 78 Score in MMLU (GPT-4 MMLU:83)▲21
OrionStar-Yi-34B-Chat 是一款开源中英文Chat模型，由猎户星空基于Yi-34B开源模型、使用15W+高质量语料微调而成。 - OrionStar-Yi-34B-Chat/README_en.MD at main · OrionStarAI/OrionStar-Yi-34B-Chat
2023 · github.com · its alternatives →
23
Rnj-1▲6
8B open-weight LLMs optimized for code & STEM
Dec 2025 · huggingface.co · its alternatives →
24
Arc Decide RAG and conversation insights under 1gb▲2
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
6h ago · huggingface.co · 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 →