Large Language Models
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ShareSylvie De Gil🙏 11 karmaJun 17, 2025@TopFrogI gain time with TopFrog! It is very helpful, and I recommend it highly!102 Reply Share Edit Delete ReportReleased 1y agoFree + from $5/mo1,807184.0
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Released 10d agoFrom $5.003514
Specialized tools 22
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Building reliable, interpretable AI systems191,917 www.anthropic.comShareClaude — v5
Claude Opus 5
Coding and long, multi step tasks: big jump over Opus 4.8, close to Anthropic's top tier model (Fable 5) at half the cost.
Science and research: stronger at chemistry and biology related tasks.
Visuals: better looking charts, diagrams, slides, and interactive content.
Judgment: better at catching its own mistakes and fixing them without you having to point it out.
The strongest model available on Claude Pro.
Also usable via the API as claude-opus-5.
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Free AI that builds, creates, and writes professionally.ShareI have been using z.ai for two weeks for web development and it's mind blowing for me. What amaze me more is its capacity to understand my existing code with very little context and suggest -or just write- lot of improvement. I did some test to compare it with ChatGPT, Claude, etc. but the results were no even close. And I keep pushing the limits but it doesn't even blink.4 Reply Share Edit Delete Report
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Gemini: Google's most capable AI model yet76,061 blog.googleShare276 Reply Share Edit Delete Report
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Frontier AI in your hands25,063 mistral.aiShareI just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further91 Reply Share Edit Delete Report
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ShareEvery top AI model. No subscription.Released 10d agoFrom $5.003514
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First sub-quadratic LLM for 12M-token reasoning tasks.Share4,913 subq.ai
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Run powerful AI models locally on your machine.Share15 Reply Share Edit Delete ReportReleased 6mo agoFree + from $20/mo6,371674.8
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ShareRun AI with an API.Released 8mo agoFrom $0.000025922
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Get things done with Meta's AI assistant. -
Open-source AI models for customization and deployment.ShareA huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. I’ll be skipping this version.284 Reply Share Edit Delete Report
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ShareRun large language models locally in minutes.Released 2y ago100% Free1,013414.5
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ShareDeploy optimized AI models on Qualcomm devicesReleased 2y agoNo pricing1,661185.0
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ShareFully open language model with complete flow.Released 2y agoNo pricing502
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Chat with the world's most responsible AI model.Share2,426 www.goody2.ai
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Build and deploy personalized AI apps in seconds.Share754 langbase.com
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ShareAGI for the enterprisestarting with software agents.Released 2y agoNo pricing85
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ShareLong-context AI that thinks big.Released 3y agoNo pricing1,15511
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ShareEmpowering privacy-centric, open-source AI models.
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Harness the power of machine learningShareI am the founder of Heimdall and everything in this description about the product is incorrect.Reply Share Edit Delete ReportReleased 3y agoNo pricing1,41861.0
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ShareSafety-focused AI for healthcare excellence.
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ShareCreate custom NLP models effortlessly
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ShareFast, scalable AI technologies for enterprise
Also used for Large Language Models 2
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Released 4mo agoFree + from $29/mo1,050695.0
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Enterprise-grade open-source AI inference at unlimited scale.OpenShare117,722 nebius.com
LLM comparison16
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166,099 www.chatplayground.aiShare
Every AI model has different strengths
ChatPlayground helps you compare them in one place so you can choose the best answer for your tasks.
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ChatGPT
Best for structured answers, planning, coding help, tables, and general everyday tasks. -
Claude
Great for writing, editing, summarizing long content, and improving tone or clarity. -
Gemini
Helpful for research, idea exploration, multimodal tasks, and finding another angle. -
Grok
Useful for quick second opinions, sharper feedback, and direct alternative responses.
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LLM management5
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Share1,307 www.langtrace.aiReleased 1y agoFree + from $39/mo5,042384.5
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Released 2y agoFrom $10/mo2992
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Released 2y agoFree + from $5/mo1,07610
LLM training4
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26,748 unsloth.aiShareHi there everyone! You might know us if you're familiar in the open-source space, but at Unsloth we do a lot of things. Mainly we help you fine-tune LLMs locally and help you run LLMs more efficiently and accurately. All of this is 100% local and of course open-source. We DO NOT have paid plans currently and everything is free and open-source. We also have a sub Reddit r/unsloth and very active Discord server so if you have any questions please do ask! Thank you! :)144 Reply Share Edit Delete ReportReleased 1y ago100% Free29,142544.3
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ShareReply Share Edit Delete ReportReleased 2y agoNo pricing63471.0
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Share325 friendli.ai
Models 20
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By MeituanLongCat-2.0 is an open-source MoE language model with 1.6 trillion total parameters (~48B activated per token) and a 1M-token context window. It introduces LongCat Sparse Attention for efficient long-context processing and was pretrained on 35+ trillion tokens using AI ASIC hardware. Strong focus on coding, agentic, and reasoning tasks.NewTextReleased 27d ago
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Apertus-v1.1-4B is a 4B parameter open-source base language model created via pre-training distillation from the Apertus-8B teacher model. It uses a dense transformer with grouped-query attention and xIELU activations, natively supports 1,811 languages, and is trained on 1.7T high-quality tokens. Designed for constrained hardware and further fine-tuning.NewTextReleased 29d ago
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Ornith-1.0-397B is a 397B MoE open-source reasoning model for agentic coding, post-trained on Qwen 3.5 MoE via a self-improving RL framework that jointly learns task solutions and the scaffolds guiding them. Achieves 82.4 on SWE-Bench Verified and 77.5 on Terminal-Bench 2.1. MIT licensed with tool-calling and 256K context support.NewMultimodalReleased 1mo ago
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By Liquid AILFM2.5-230M is a 230M-parameter lightweight language model built on the LFM2 architecture, designed for fast inference across edge and cloud environments. Pre-trained on 19T tokens with a 32K context window, it targets tool use, data extraction, and agentic workflows. Runs on CPUs including Raspberry Pi 5 and mobile SoCs. Not recommended for math, code generation, or creative writing.NewTextReleased 1mo ago
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Apertus-v1.1-1.5B is a 1.5 billion parameter base language model trained via distillation from an 8B teacher model. It supports 1,811 languages, uses a dense transformer architecture with grouped-query attention and xIELU activation, and has a 32,768 token context window. Designed for text generation and multilingual applications.NewTextReleased 2mo ago
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By Zyphra AIZAYA1-8B is Zyphra’s small mixture-of-experts reasoning model, built for long-form reasoning, mathematics, and coding. It has 8.4B total parameters with 760M active parameters, is post-trained for reasoning, and is positioned as highly intelligence-efficient enough for both strong test-time-compute use and local on-device deployment.NewMultimodalReleased 2mo ago
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By SubquadraticSubQ 1M-Preview is Subquadratic’s first large language model and the first fully subquadratic LLM, built so compute grows linearly with context length rather than quadratically. It is designed for massive-context reasoning, coding, search, and full-corpus processing, making million-token windows more practical, faster, and cheaper than standard transformer-based approachesNewMultimodalReleased 2mo ago
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By Hugging Facenanowhale is a miniature DeepSeek-V4-style language model project, built to reproduce the core DeepSeek-V4 architecture at about 110M parameters. It is designed as an educational and research-scale model, with both a pretrained base version and an SFT chat version, rather than as a production frontier assistant.NewTextReleased 2mo ago
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By DeepSeekDeepSeek-V4-Flash is DeepSeek’s faster, smaller, and more economical V4 model for efficient large-scale use. It has 284B total parameters with 13B active parameters, supports a 1M token context window, and is positioned as a high-speed, cost-effective model whose reasoning comes close to V4-Pro.MultimodalReleased 3mo ago
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By DeepSeekDeepSeek-V4-Pro is DeepSeek’s new flagship open-source model for top-end reasoning, coding, world knowledge, and agentic work. It uses a MoE architecture with 1.6T total parameters and 49B active parameters, supports a 1M token context window, and is positioned as rivaling leading closed-source models while leading current open models on several major capabilities.MultimodalReleased 3mo ago
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By AntGroupLing-2.6-1T is inclusionAI’s trillion-parameter flagship instruct model for real-world agents. It is positioned for fast execution, high efficiency at scale, advanced coding, complex reasoning, and large-scale agent workflows, using a “fast thinking” approach to cut cost while keeping top-tier performance.MultimodalReleased 3mo ago
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By Ai2F_pre_8kv_8k_14k_SWA is an AllenAI OlmPool architectural-variation model for studying long-context extension. It is a 7B to 8B class language model trained to 150B tokens total, including 140B pretraining and 10B context extension, and is meant for research on architecture choices rather than polished instruction-following use.TextReleased 3mo ago
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Parcae is a Sandy Research model family described as "a family of stable looped models." The public collection currently lists four sizes: 140M, 370M, 770M, and 1.3B.TextReleased 3mo ago
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By Liquid AILFM2.5-350M is Liquid AI’s compact 350M-parameter language model optimized for fast inference, tool use, data extraction, and structured outputs. It is designed to run across cloud GPUs, CPUs, and edge devices, and is positioned for lightweight agentic workflows and large-scale data processing rather than math, coding, or creative writing.TextReleased 3mo ago
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By XiaomiMiMo-V2-Omni is an omni foundation model that unifies multimodal understanding with agentic capability, built to see, hear, and act.MultimodalReleased 4mo ago
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By XiaomiMiMo-V2-Pro is Xiaomi’s flagship foundation model built for real-world agent workloads, designed to act as the “brain” of agent systems that orchestrate complex workflows and tool use.TextReleased 4mo ago
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By NVIDIANemotron 3 Super is NVIDIA’s open Mixture-of-Experts hybrid Mamba-Transformer model designed for high-throughput agentic workloads and long-context reasoning.TextReleased 4mo ago
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By TencentSequential-Hidden-Decoding-8B-n8 is Tencent’s base language model variant that extends effective sequence length by 8x using multiple embedding passes while keeping the same Transformer backbone. Built on Qwen3-8B-Base, it is aimed at benchmarking, text completion, and fine-tuning research, with hidden latent steps acting like implicit reasoning before each predicted token.TextReleased 4mo ago
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By Covenant AICovenant-72B is a permissionless collaboratively trained 72B-parameter language model trained from scratch via decentralized coordination on Bittensor infrastructure.TextReleased 4mo ago
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By OpenAIGPT-5.3 is an updated general-purpose chat model optimized for smoother everyday conversations, more accurate answers, and better contextual understanding. It is positioned as a broadly useful assistant model that reduces unnecessary refusals, excessive caveats, and overly cautious phrasing, while keeping strong performance for common conversational and help-oriented tasks.MultimodalReleased 4mo ago
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