AI · alternatives · 2026
24 alternatives to Cedille, the largest French language model, released in open source
We are excited to announce Cedille, the largest language model for French (6b parameters). Demo: https://cedille.ai Language models are general purpose AI systems that are able to solve a range of tasks by simply being prompted for it. It can be used for example to summarize text, do translations, or for idea generation & overcoming writer's block. You may know GPT-3, the humongous model from OpenAI. Cedille is a similar model targeting the French demographic - but smaller, as we don’t yet have $1b in the bank like they do. Although GPT-3 supports multiple languages including…
Cedille is an open-source language model with 6 billion parameters designed specifically for French. It can summarize text, perform translations, and assist with writing and idea generation. The model performs… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Cedille, the largest French language model, released in open source launched in 2021; newer entries below may have overtaken it.
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Claude Opus 4.7 is Anthropic's most capable generally available model, released April 16, 2026. It outperforms Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on key benchmarks including agentic coding, multidisciplinary reasoning, scaled tool use, and agentic computer use. It is benchmarked below Claude Mythos Preview — which remains restricted to Project Glasswing partners. https://vucense.com/ai-intelligence/ai-tools/claude-opus-4-7...
2025 · anthropic.com · its alternatives →
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TranslateGemma ▲275Open translation on Google models, supporting 55 languages
Jan 2026 · blog.google · its alternatives →
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GPT-4▲1,160More accurate, less cringe, smoother & useful daily chats!
2023 · openai.com · its alternatives →
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A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
Jul 2026 · github.com · its alternatives →
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Kolibri is Aleph Alpha
20d ago · tej.as · its alternatives →
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An open-source language translation system for 200 languages
2022 · github.com · its alternatives →
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Lingoedit 2.0▲445Simplify translation and editing: your AI language companion
2024 · its alternatives →
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How small can a language model be while still doing something useful? I wanted to find out, and had some spare time over the holidays. Z80-μLM is a character-level language model with 2-bit quantized weights ({-2,-1,0,+1}) that runs on a Z80 with 64KB RAM. The entire thing: inference, weights, chat UI, it all fits in a 40KB .COM file that you can run in a CP/M emulator and hopefully even real hardware! It won't write your emails, but it can be trained to play a stripped down version of 20 Questions, and is sometimes able to maintain the illusion of having simple but terse conversations…
Dec 2025 · github.com · its alternatives →
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Summarization AI▲226Instantly summarize web pages and save time
2025 · chromewebstore.google.com · its alternatives →
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Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com · its alternatives →
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Hey everyone, I wanted to share a new tool we've created called Jotte (https://jotte.ai) which we believe can be a game-changer for AI-generated longform writing like novels and research papers. As you may know, current AI like ChatGPT and GPT-3 have a token limit of around 4000 tokens or 3000 words, which limits their effectiveness for longer writing tasks. With Jotte, we've developed a graph-based approach to summarize information and effectively give AI "unlimited" memory. Jotte remembers recent details like the meal a character ate a page ago, while avoiding getting bogged down…
2023 · jotte.ai · its alternatives →
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Free and Open Source Machine Translation API. Free to download, offline capable and easy to setup. Run your own API server in just a few minutes.
2021 · libretranslate.com · its alternatives →
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2025 · github.com · its alternatives →
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Dream 7B▲191Powerful Open Diffusion LLM, Beyond Autoregressive
2025 · hkunlp.github.io · its alternatives →
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Ollang DX▲164The AI Language Execution Layer for Enterprise
Mar 2026 · ollang.com · its alternatives →
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Explore large language models in 512MB of RAM. Contribute to jncraton/languagemodels development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 24WM
Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…
2024 · glhf.chat · 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 →