Life & fun · alternatives · 2026

24 alternatives to FlashQwen – A from-scratch CUDA inference engine for Qwen3

ML Engineer, prev @Microsoft, @TencentGames. WeChat: Frankkk96 - frankkk96

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
Tiny-vLLM – high performance LLM inference engine in C++ and CUDA▲205
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm
May 2026 · github.com · its alternatives →
2
Qwen3.5 Small▲355
0.8B-9B native multimodal w/ more intelligence, less compute
Mar 2026 · huggingface.co · its alternatives →
3
Qwen3.8-Flash-Nextfree tier▲108
The open-weight preview of Qwen4
Aug 2026 · qwen.ai · its alternatives →
4
Qwen3.5▲288
The 397B native multimodal agent with 17B active params
Feb 2026 · qwen.ai · its alternatives →
5
Netmind Power▲272
Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
6
QwQ-32B▲197
Matching R1 reasoning yet 20x smaller
2025 · huggingface.co · its alternatives →
7
We made our own inference engine for Apple Silicon▲186
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com · its alternatives →
8
Qwen3.6-35B-A3B▲124
The open sparse MoE model for agentic coding
Apr 2026 · qwen.ai · its alternatives →
9
Banana▲235
Serverless GPUs for Machine Learning inference
2022 · banana.dev · its alternatives →
10IB
I built a toy TPU that can do inference and training on the XOR problem▲134
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com · its alternatives →
11
Qwen3.6-27B▲120
The sweet-spot open dense model for coding agents
Apr 2026 · qwen.ai · its alternatives →
12
Qwen3-235B-A22B-Thinking-2507▲262
Qwen's most advanced reasoning model yet
2025 · huggingface.co · its alternatives →
13
Qwen3-Coder▲248
A powerful open model for agentic coding tasks
2025 · qwenlm.github.io · its alternatives →
14
General Compute▲315
AI models that run on an inference cloud optimized for speed
May 2026 · generalcompute.com · its alternatives →
15
Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s▲240
I built slotstream, a way to run Qwen3.8-Flash-Next 4-bit on a low-memory mac starting from 16GB, a 125B parameter model that would need 100GB+ memory/RAM, thanks to expert-offloading/ssd-streaming. Easy to install/update, and mac-native using MLX and Swift. It ships with auto-mode, which makes a good tradeoff between memory usage and speed. I'll be implementing and porting the MTP module for speculative decoding next Local models really are the future of computing!
Sep 2026 · github.com · its alternatives →
16
Qwen3.8-Max▲277
Qwen3.8-Max + MCP for coding on your local machine, without paying for Qwen Code. Qwen3.8-Max itself runs in the cloud through Qwen Studio — this setup just gives it access to your local files and terminal through MCP. My take: it is slower than Codex and Claude Code, especially in thinking mode, but it does work well. MCP adds some latency too since there’s an extra layer between the model and your machine. In fast mode, it gets noticeably closer. I wouldn’t put it in the same category as Fable or Opus-5. Personally, I’d place it closer to the next Opus 4.7 level in terms of coding ability.…
Aug 2026 · qwen.ai · its alternatives →
17
Lightweight Llama3 Inference Engine – CUDA C▲12
Hey, recently I took inspiration from llama.cpp, ollama, and many other similar tools that enable inference of LLMs locally, and I just finished building a Llama inference engine for the 8B model in CUDA C. I recently wanted to explore my newly founded interest in CUDA programming and my passion for machine learning. This project only makes use of the native CUDA runtime api and cuda_fp16. The inference takes place in fp16, so it requires around 17-18GB of VRAM (~16GB for model params and some more for intermediary caches). It doesn’t use cuBLAS or any similar libraries since I wanted to be…
2025 · github.com · its alternatives →
18
An educational Local Qwen3 LLM Inference project written in Rust▲15
An educational Rust project for exporting and running inference on Qwen3 LLM family - reinterpretcat/qwen3-rs
2025 · github.com · its alternatives →
19
Cuq – Formal Verification of Rust GPU Kernels▲94
A pipeline that translates Rust GPU code into formal Coq models, as a foundation for memory model proofs - neelsomani/vericuda
2025 · github.com · its alternatives →
20
I built a tensor library from scratch in C++/CUDA▲119
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com · its alternatives →
21
Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput▲123
Contribute to Mega4alik/ollm development by creating an account on GitHub.
2025 · github.com · its alternatives →
22
Swift-Qwen3.8-27B, -58.3% thinking, x1.95 speed, accuracy of xhigh▲32
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Sep 2026 · huggingface.co · its alternatives →
23
Qwen3.6-Plus▲139
Multimodal AI optimized for real-world coding agents
Apr 2026 · qwen.ai · its alternatives →
24
Qwen3.6-35B-A3B on a 16 GB M1 Pro with SSD-streamed MoE▲24
Metal-first MoE inference for Apple Silicon with bounded SSD expert streaming and local OpenAI Chat, Responses, and Anthropic Messages endpoints. - hebrus-labs/hebrus
Jul 2026 · github.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 →