Alternatives
Products that do what Gemini 3.1 Flash-Lite does
Best-in-class intelligence for your high-volume workloads
- 1
- 2
- 3
- 4
- 5
- 6
- 7NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
May 2026 · github.com
- 8
- 9
Latest audio model for live speech-to-speech translation
Jun 2026 · blog.google
- 10
- 11
Text-to-speech API with natural language voice direction
Apr 2026 · blog.google
- 12
Next-gen Gemini for agents, reasoning, and cyber security
4d ago · blog.google
- 13
- 14IR
2023 · sagittarius.greg.technology
- 15
- 16
- 17CH
Hey HN, Henry & Roman here from Cactus. A small, on-device model is fast and private, but sometimes wrong, but frontier models are getting expensive pretty fast. So, we post-trained Gemma 4 E2B post-trained to know when it's wrong. Every response comes with a confidence score between 0 and 1. Developers can accept the on-device when it's high, hand off to a bigger cloud model when it's low. By routing only 15-35% of queries to Gemini 3.1 Flash-Lite, Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks. - ChartQA: 15-20% - LibriSpeech: 25-30% - MMBench, GigaSpeech, MMAU: 30-35% -…
Jul 2026 · github.com
- 18AO
I built this yesterday to help understand papers I'm interested in. It's using the gemini 2.5 flash lite model, but you can run it yourself[1] and switch to 2.5 pro for better results. Happy to answer any questions or take suggestions on how I can improve it! 1. https://github.com/montanaflynn/asxiv
Sep 2025 · asxiv.org
- 19NP
The new Gemini 3 Pro Image model (aka Nano Banana) is incredible at generating slides, so I thought it would be fun to build a CLI tool that lets you edit PDF presentations using plain English. The tool converts the page you want to edit into an image, sends it to the model API together with your prompt to generate an edited image, then converts the updated image back and stitches into the original document. Examples: - `nano-pdf edit deck.pdf 5 "Update the revenue chart to show Q3 at $2.5M"` - `nano-pdf add deck.pdf 15 "Create an executive summary slide with 5 bullet points"` Features: -…
Nov 2025 · github.com
- 20
- 21IM
Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
2024 · saas-quick.com
- 22WD
2022 · github.com
- 23IM
This is another one of my automate-my-life projects - I'm constantly asking the same question to different AIs since there's always the hope of getting a better answer somewhere else. Maybe ChatGPT's answer is too short, so I ask Perplexity. But I realize that's hallucinated, so I try Gemini. That answer sounds right, but I cross-reference with Claude just to make sure. This doesn't really apply to math/coding (where o1 or Gemini can probably one-shot an excellent response), but more to online search, where information is more fluid and there's no "right" search engine + text…
2024 · ithy.com
- 24SW
Chrome now includes a native on-device LLM (Gemini Nano) starting in version 138. I've been building with it since it was in origin trials, it's powerful but the official Prompt API is still a bit awkward: - Enforces sessions even for basic usage - Requires user-triggered downloads - Lacks type safety or structured error handling So I open-sourced a small TypeScript wrapper I originally built for other projects to smooth over the rough edges: github: https://github.com/kstonekuan/simple-chromium-ai npm: https://www.npmjs.com/package/simple-chromium-ai…
2025 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →