--- title: "LLM Updates — LLM-TEST.com" url: /updates/ canonical_url: https://llm-test.com/updates/ language: en type: updates summary: "New-model announcements from every provider in the directory, newest first." last_updated: "2026-11-05" --- # LLM Updates New-model announcements from the providers in the directory, newest first. Each links to the original source. - **Nov 2, 2026** — Moonshot AI: [Kimi-K3.1](https://huggingface.co/moonshotai/Kimi-K3.1-Pro) - **Oct 29, 2026** — Google: [You can now generate, preview, and edit documents, PDFs, presentations, spreadsheets, and more directly in Gemini.](https://blog.google/innovation-and-ai/products/gemini-app/edit-files-directly/) - **Oct 29, 2026 (discovered)** — Anthropic: [Introducing Claude Opus 5.5](https://www.anthropic.com/claude-opus-5-5) - **Oct 29, 2026 (discovered)** — Anthropic: [Introducing Claude Haiku 5.5](https://www.anthropic.com/claude-haiku-5-5) - **Oct 29, 2026 (discovered)** — Anthropic: [Introducing Claude Sonnet 5.5](https://www.anthropic.com/claude-sonnet-5-5) - **Oct 26, 2026** — OpenAI: [Introducing GPT-6.1 Terra](https://openai.com/index/introducing-gpt-6-1-terra) - **Oct 17, 2026** — DeepSeek: [DeepSeek-V4.1](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) - **Oct 17, 2026** — MiniMax: [MiniMax-M3.1](https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash) - **Oct 13, 2026** — Google: [Gemini 4 Argon is now available for developers.](https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-4-argon/) - **Oct 6, 2026** — Mistral AI: [Introducing Mistral Large 4](https://mistral.ai/news/mistral-large-4/) - **Sep 29, 2026** — OpenAI: [Introducing GPT-6.1 Sol](https://openai.com/index/introducing-gpt-6-1-sol) - **Sep 27, 2026** — Xiaomi: [MiMo-V2.6](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD) - **Sep 22, 2026** — OpenAI: [Introducing GPT-6 Sol and Luna](https://openai.com/index/introducing-gpt-6-sol-and-luna) - **Sep 21, 2026** — Xiaomi: [MiMo-V2.6-Distill-Qwen-9B](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B) - **Aug 31, 2026** — DeepSeek: [DeepSeek-V4-Flash-Vision](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp) - **Aug 25, 2026** — OpenAI: [Introducing the Admin plugin for ChatGPT Work and Codex](https://openai.com/index/introducing-admin-plugin) - **Aug 25, 2026** — Zhipu AI: [GLM-5.3](https://huggingface.co/zai-org/GLM-5.3-Flash-BF16) - **Aug 13, 2026** — DeepSeek: [DeepSeek-V4](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813) - **Aug 7, 2026** — MiniMax: [MiniMax-Music3](https://huggingface.co/MiniMaxAI/MiniMax-Music3) - **Jul 28, 2026** — MiniMax: [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3) - **Jul 8, 2026** — OpenAI: [Introducing GPT-Live](https://openai.com/index/introducing-gpt-live) - **Jul 3, 2026** — Xiaomi: [MiMo-V2.5-DFlash](https://huggingface.co/XiaomiMiMo/MiMo-V2.5-DFlash) - **Jun 27, 2026** — DeepSeek: [DeepSeek-V4-Pro-DSpark](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark) - **Jun 27, 2026** — DeepSeek: [DeepSeek-V4-Flash-DSpark](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-DSpark) - **Jun 23, 2026** — Mistral AI: [Introducing Mistral OCR 4](https://mistral.ai/news/ocr-4/) - **Jun 16, 2026** — Zhipu AI: [GLM-5.2](https://huggingface.co/zai-org/GLM-5.2) - **Jun 13, 2026** — Moonshot AI: [Kimi-K3](https://huggingface.co/moonshotai/Kimi-K3) - **Jun 11, 2026** — Moonshot AI: [Kimi-K2.7-Code](https://huggingface.co/moonshotai/Kimi-K2.7-Code) - **Jun 8, 2026** — Xiaomi: [MiMo-V2.5-Pro-FP4-DFlash](https://huggingface.co/XiaomiMiMo/MiMo-V2.5-Pro-FP4-DFlash) - **Jun 3, 2026** — OpenAI: [Introducing new capabilities to GPT-Rosalind](https://openai.com/index/introducing-new-capabilities-to-gpt-rosalind) - **Jun 2, 2026** — MiniMax: [MiniMax-M3](https://huggingface.co/MiniMaxAI/MiniMax-M3-MXFP8) - **Jun 1, 2026** — OpenAI: [OpenAI frontier models and Codex are now available on AWS](https://openai.com/index/openai-frontier-models-and-codex-are-now-available-on-aws) - **May 27, 2026** — Mistral AI: [Introducing physics AI at Mistral: the foundation for engineering acceleration.](https://mistral.ai/news/introducing-physics-ai-at-mistral/) - **May 18, 2026** — Cohere: [command-a](https://huggingface.co/CohereLabs/command-a-plus-05-2026-w4a4) - **Apr 27, 2026** — Xiaomi: [MiMo-V2.5](https://huggingface.co/XiaomiMiMo/MiMo-V2.5) - **Apr 23, 2026** — OpenAI: [Introducing GPT-5.5](https://openai.com/index/introducing-gpt-5-5) - **Apr 16, 2026** — OpenAI: [Introducing GPT-Rosalind for life sciences research](https://openai.com/index/introducing-gpt-rosalind) - **Apr 14, 2026** — Moonshot AI: [Kimi-K2.6](https://huggingface.co/moonshotai/Kimi-K2.6) - **Apr 9, 2026** — MiniMax: [MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) - **Apr 3, 2026** — Zhipu AI: [GLM-5.1](https://huggingface.co/zai-org/GLM-5.1-FP8) - **Mar 17, 2026** — OpenAI: [Introducing GPT-5.4 mini and nano](https://openai.com/index/introducing-gpt-5-4-mini-and-nano) - **Mar 16, 2026** — Mistral AI: [Introducing Mistral Small 4](https://mistral.ai/news/mistral-small-4/) - **Mar 5, 2026** — OpenAI: [Introducing GPT-5.4](https://openai.com/index/introducing-gpt-5-4) - **Feb 26, 2026** — OpenAI: [OpenAI Codex and Figma launch seamless code-to-design experience](https://openai.com/index/figma-partnership) - **Feb 12, 2026** — OpenAI: [Introducing GPT-5.3-Codex-Spark](https://openai.com/index/introducing-gpt-5-3-codex-spark) - **Feb 12, 2026** — MiniMax: [MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) - **Feb 11, 2026** — Zhipu AI: [GLM-5](https://huggingface.co/zai-org/GLM-5) - **Feb 5, 2026** — OpenAI: [Introducing GPT-5.3-Codex](https://openai.com/index/introducing-gpt-5-3-codex) - **Feb 2, 2026** — OpenAI: [Introducing the Codex app](https://openai.com/index/introducing-the-codex-app) - **Jan 30, 2026** — Zhipu AI: [GLM-OCR](https://huggingface.co/zai-org/GLM-OCR) - **Jan 27, 2026** — DeepSeek: [DeepSeek-OCR-2](https://huggingface.co/deepseek-ai/DeepSeek-OCR-2) - **Jan 25, 2026** — Tencent: [HunyuanImage-3.0-Instruct-Distil](https://huggingface.co/tencent/HunyuanImage-3.0-Instruct-Distil) - **Jan 19, 2026** — Zhipu AI: [GLM-4.7](https://huggingface.co/zai-org/GLM-4.7-Flash) - **Jan 8, 2026** — Zhipu AI: [GLM-Image](https://huggingface.co/zai-org/GLM-Image) - **Jan 1, 2026** — Moonshot AI: [Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5) - **Dec 20, 2025** — MiniMax: [MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1) - **Dec 18, 2025** — OpenAI: [Introducing GPT-5.2-Codex](https://openai.com/index/introducing-gpt-5-2-codex) - **Dec 17, 2025** — Mistral AI: [Introducing Mistral OCR 3](https://mistral.ai/news/mistral-ocr-3/) - **Dec 16, 2025** — OpenAI: [Introducing ChatGPT Images and GPT‑Image‑1.5](https://openai.com/index/new-chatgpt-images-is-here) - **Dec 16, 2025** — Xiaomi: [MiMo-V2](https://huggingface.co/XiaomiMiMo/MiMo-V2-Flash-Base) - **Dec 11, 2025** — OpenAI: [Introducing GPT-5.2](https://openai.com/index/introducing-gpt-5-2) - **Dec 10, 2025** — Zhipu AI: [GLM-TTS](https://huggingface.co/zai-org/GLM-TTS) - **Dec 9, 2025** — Mistral AI: [Introducing: Devstral 2 and Mistral Vibe CLI.](https://mistral.ai/news/devstral-2-vibe-cli/) - **Dec 2, 2025** — Mistral AI: [Introducing Mistral 3](https://mistral.ai/news/mistral-3/) - **Dec 1, 2025** — DeepSeek: [DeepSeek-V3.2](https://huggingface.co/deepseek-ai/DeepSeek-V3.2) - **Nov 28, 2025** — DeepSeek: [DeepSeek-V3.2-Speciale](https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale) - **Nov 19, 2025** — Xiaomi: [MiMo-Embodied-7B](https://huggingface.co/XiaomiMiMo/MiMo-Embodied-7B) - **Nov 18, 2025** — Tencent: [HunyuanVideo-1.5](https://huggingface.co/tencent/HunyuanVideo-1.5) - **Nov 18, 2025** — Tencent: [HunyuanOCR](https://huggingface.co/tencent/HunyuanOCR) - **Nov 14, 2025** — Xiaomi: [MiMo-7B-MTPs](https://huggingface.co/XiaomiMiMo/MiMo-7B-MTPs) - **Nov 13, 2025** — OpenAI: [Introducing GPT-5.1 for developers](https://openai.com/index/gpt-5-1-for-developers) - **Nov 4, 2025** — Moonshot AI: [Kimi-K2](https://huggingface.co/moonshotai/Kimi-K2-Thinking) - **Oct 30, 2025** — Moonshot AI: [Kimi-Linear-48B](https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Base) - **Oct 29, 2025** — OpenAI: [Introducing gpt-oss-safeguard](https://openai.com/index/introducing-gpt-oss-safeguard) - **Oct 24, 2025** — Mistral AI: [Introducing Mistral Studio.](https://mistral.ai/news/ai-studio/) - **Oct 22, 2025** — MiniMax: [MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2) - **Oct 16, 2025** — Tencent: [HunyuanWorld-Mirror](https://huggingface.co/tencent/HunyuanWorld-Mirror) - **Sep 30, 2025** — OpenAI: [Launching Sora responsibly](https://openai.com/index/launching-sora-responsibly) - **Sep 25, 2025** — Tencent: [HunyuanImage-3.0](https://huggingface.co/tencent/HunyuanImage-3.0-Instruct) - **Sep 23, 2025** — Alibaba (Qwen): [Qwen3Guard: Real-time Safety for Your Token Stream](https://qwenlm.github.io/blog/qwen3guard/) - **Sep 23, 2025** — Tencent: [Hunyuan3D-Omni](https://huggingface.co/tencent/Hunyuan3D-Omni) - **Sep 23, 2025** — Tencent: [Hunyuan3D-Part](https://huggingface.co/tencent/Hunyuan3D-Part) - **Sep 15, 2025** — OpenAI: [Introducing upgrades to Codex](https://openai.com/index/introducing-upgrades-to-codex) - **Sep 5, 2025** — Tencent: [HunyuanImage-2.1](https://huggingface.co/tencent/HunyuanImage-2.1) - **Aug 28, 2025** — OpenAI: [Introducing gpt-realtime and Realtime API updates](https://openai.com/index/introducing-gpt-realtime) - **Aug 27, 2025** — Cohere: [command-a-translate](https://huggingface.co/CohereLabs/command-a-translate-08-2025) - **Aug 19, 2025** — Alibaba (Qwen): [Qwen-Image-Edit: Image Editing with Higher Quality and Efficiency](https://qwenlm.github.io/blog/qwen-image-edit/) - **Aug 12, 2025** — Cohere: [command-a-reasoning](https://huggingface.co/CohereLabs/command-a-reasoning-08-2025) - **Aug 7, 2025** — OpenAI: [Introducing GPT-5 for developers](https://openai.com/index/introducing-gpt-5-for-developers) - **Aug 7, 2025** — OpenAI: [Introducing GPT-5](https://openai.com/index/introducing-gpt-5) - **Aug 5, 2025** — OpenAI: [Introducing gpt-oss](https://openai.com/index/introducing-gpt-oss) - **Aug 4, 2025** — Alibaba (Qwen): [Qwen-Image: Crafting with Native Text Rendering](https://qwenlm.github.io/blog/qwen-image/) - **Jul 30, 2025** — Mistral AI: [Announcing Codestral 25.08 and the Complete Mistral Coding Stack for Enterprise](https://mistral.ai/news/codestral-25-08/) - **Jul 28, 2025** — Cohere: [command-a-vision](https://huggingface.co/CohereLabs/command-a-vision-07-2025) - **Jul 24, 2025** — Alibaba (Qwen): [Qwen-MT: Where Speed Meets Smart Translation](https://qwenlm.github.io/blog/qwen-mt/) - **Jul 22, 2025** — Alibaba (Qwen): [Qwen3-Coder: Agentic Coding in the World](https://qwenlm.github.io/blog/qwen3-coder/) - **Jun 27, 2025** — Alibaba (Qwen): [Time to Speak Some Dialects, Qwen-TTS!](https://qwenlm.github.io/blog/qwen-tts/) - **Jun 26, 2025** — Alibaba (Qwen): [Qwen VLo: From "Understanding" the World to "Depicting" It](https://qwenlm.github.io/blog/qwen-vlo/) - **Jun 21, 2025** — Moonshot AI: [Kimi](https://huggingface.co/moonshotai/Kimi-VL-A3B-Thinking-2506) - **Jun 16, 2025** — Moonshot AI: [Kimi-Dev-72B](https://huggingface.co/moonshotai/Kimi-Dev-72B) - **Jun 5, 2025** — Alibaba (Qwen): [Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models](https://qwenlm.github.io/blog/qwen3-embedding/) - **Jun 4, 2025** — Mistral AI: [Introducing Mistral Code](https://mistral.ai/news/mistral-code/) - **May 16, 2025** — OpenAI: [Introducing Codex](https://openai.com/index/introducing-codex) - **Apr 29, 2025** — Alibaba (Qwen): [Qwen3: Think Deeper, Act Faster](https://qwenlm.github.io/blog/qwen3/) - **Apr 14, 2025** — OpenAI: [Introducing GPT-4.1 in the API](https://openai.com/index/gpt-4-1) - **Mar 27, 2025** — Alibaba (Qwen): [Qwen2.5 Omni: See, Hear, Talk, Write, Do It All!](https://qwenlm.github.io/blog/qwen2.5-omni/) - **Mar 24, 2025** — Alibaba (Qwen): [Qwen2.5-VL-32B: Smarter and Lighter](https://qwenlm.github.io/blog/qwen2.5-vl-32b/) - **Mar 11, 2025** — Cohere: [c4ai-command-a](https://huggingface.co/CohereLabs/c4ai-command-a-03-2025) - **Mar 6, 2025** — Alibaba (Qwen): [QwQ-32B: Embracing the Power of Reinforcement Learning](https://qwenlm.github.io/blog/qwq-32b/) - **Feb 27, 2025** — Cohere: [c4ai-command-r7b-arabic](https://huggingface.co/CohereLabs/c4ai-command-r7b-arabic-02-2025) - **Feb 25, 2025** — Alibaba (Qwen): [... QwQ-Max-Preview](https://qwenlm.github.io/blog/qwq-max-preview/) - **Jan 28, 2025** — Alibaba (Qwen): [Qwen2.5-Max: Exploring the Intelligence of Large-scale MoE Model](https://qwenlm.github.io/blog/qwen2.5-max/) - **Jan 27, 2025** — Alibaba (Qwen): [Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens](https://qwenlm.github.io/blog/qwen2.5-1m/) - **Jan 26, 2025** — Alibaba (Qwen): [Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!](https://qwenlm.github.io/blog/qwen2.5-vl/) - **Dec 11, 2024** — Cohere: [c4ai-command-r7b](https://huggingface.co/CohereLabs/c4ai-command-r7b-12-2024) - **Nov 28, 2024** — Alibaba (Qwen): [QwQ: Reflect Deeply on the Boundaries of the Unknown](https://qwenlm.github.io/blog/qwq-32b-preview/) - **Nov 12, 2024** — Alibaba (Qwen): [Qwen2.5-Coder Series: Powerful, Diverse, Practical.](https://qwenlm.github.io/blog/qwen2.5-coder-family/) - **Sep 24, 2024** — OpenAI: [Introducing Verdi, an AI dev platform powered by GPT-4o](https://openai.com/index/mercado-libre) - **Sep 19, 2024** — Alibaba (Qwen): [Qwen2.5: A Party of Foundation Models!](https://qwenlm.github.io/blog/qwen2.5/) - **Sep 19, 2024** — Alibaba (Qwen): [Qwen2.5-LLM: Extending the boundary of LLMs](https://qwenlm.github.io/blog/qwen2.5-llm/) - **Sep 19, 2024** — Alibaba (Qwen): [Qwen2.5-Coder: Code More, Learn More!](https://qwenlm.github.io/blog/qwen2.5-coder/) - **Sep 19, 2024** — Alibaba (Qwen): [Qwen2.5-Math: The world's leading open-sourced mathematical LLMs](https://qwenlm.github.io/blog/qwen2.5-math/) - **Sep 17, 2024** — Mistral AI: [Announcing Pixtral 12B](https://mistral.ai/news/pixtral-12b/) - **Aug 29, 2024** — Alibaba (Qwen): [Qwen2-VL: To See the World More Clearly](https://qwenlm.github.io/blog/qwen2-vl/) - **Aug 21, 2024** — Cohere: [c4ai-command-r](https://huggingface.co/CohereLabs/c4ai-command-r-plus-08-2024) - **Aug 20, 2024** — OpenAI: [Fine-tuning now available for GPT-4o](https://openai.com/index/gpt-4o-fine-tuning) - **Aug 9, 2024** — Alibaba (Qwen): [Qwen2-Audio: Chat with Your Voice!](https://qwenlm.github.io/blog/qwen2-audio/) - **Aug 8, 2024** — Alibaba (Qwen): [Introducing Qwen2-Math](https://qwenlm.github.io/blog/qwen2-math/) - **Jun 7, 2024** — Alibaba (Qwen): [Hello Qwen2](https://qwenlm.github.io/blog/qwen2/) - **Jun 6, 2024** — Alibaba (Qwen): [Generalizing an LLM from 8k to 1M Context using Qwen-Agent](https://qwenlm.github.io/blog/qwen-agent-2405/) - **May 13, 2024** — OpenAI: [Introducing GPT-4o and more tools to ChatGPT free users](https://openai.com/index/gpt-4o-and-more-tools-to-chatgpt-free) - **May 11, 2024** — Alibaba (Qwen): [Notes on Qwen-Max-0428](https://qwenlm.github.io/blog/qwen-max-0428/) - **Apr 25, 2024** — Alibaba (Qwen): [Qwen1.5-110B: The First 100B+ Model of the Qwen1.5 Series](https://qwenlm.github.io/blog/qwen1.5-110b/) - **Apr 16, 2024** — Alibaba (Qwen): [Code with CodeQwen1.5](https://qwenlm.github.io/blog/codeqwen1.5/) - **Apr 2, 2024** — Alibaba (Qwen): [Qwen1.5-32B: Fitting the Capstone of the Qwen1.5 Language Model Series](https://qwenlm.github.io/blog/qwen1.5-32b/) - **Mar 28, 2024** — Alibaba (Qwen): [Qwen1.5-MoE: Matching 7B Model Performance with 1/3 Activated Parameters](https://qwenlm.github.io/blog/qwen-moe/) - **Feb 4, 2024** — Alibaba (Qwen): [Introducing Qwen1.5](https://qwenlm.github.io/blog/qwen1.5/) - **Jan 25, 2024** — Alibaba (Qwen): [Introducing Qwen-VL](https://qwenlm.github.io/blog/qwen-vl/) - **Jan 23, 2024** — Alibaba (Qwen): [Introducing Qwen](https://qwenlm.github.io/blog/qwen/) - **Jan 10, 2024** — OpenAI: [Introducing the GPT Store](https://openai.com/index/introducing-the-gpt-store) ## Frequently asked questions ### Why do AI companies retire old models, and how should I prepare? Providers run each model on expensive GPU capacity, so they eventually shut down older versions to free that capacity for newer ones. A retirement usually comes with several months of notice, but after the date, requests to the old model name fail or are redirected to a replacement that may behave differently. To prepare, avoid hard-coding a model name in many places and keep it in one configuration setting. Pin a specific dated version when you need stable behavior, and subscribe to the provider's deprecation notices. Keep a small set of test prompts so you can quickly check a replacement model for changes in tone, format and accuracy before the old one disappears. Treat model upgrades as routine maintenance, not as emergencies. ### How often do new LLMs launch, and how fast are they improving? New models arrive constantly. The major labs ship a notable release every few months, often with smaller updates in between, and open-weight models from companies such as Meta, Mistral, DeepSeek and Alibaba add to the pace, so something noteworthy is announced almost every week. Capability has risen quickly while prices have fallen: a task that needed a flagship model a year or two ago can often be done by a much cheaper model today. For you this means two things. Do not lock your product to one model name, because it will be replaced or retired, and re-test your choice every few months, since a newer model may be better, cheaper or both. ### How do I know whether a new model is actually cheaper or better than the one I use? An announcement tells you a model exists, not whether it is worth switching to. The practical check has two parts. First, compare cost: find the model in the price comparison (/), paste a typical prompt and expected response length, and see the per-request and monthly cost next to your current model. Second, compare quality on your own task, because public benchmarks rarely match your data. Run a small, repeatable set of real prompts through both models and judge the answers. A model that is 40 percent cheaper but needs a retry on every tenth request may cost more overall, so measure both price and success rate before you migrate. ### What do names like mini, flash, turbo, pro or opus mean? Providers usually sell each model family in several sizes, and the name signals the trade-off. Labels such as mini, nano, flash, lite, haiku or small generally mean a smaller, faster and cheaper model that is good for simple, high-volume work like classification, extraction and short chat replies. Mid-sized names such as sonnet or standard balance cost and quality. Labels such as pro, opus, ultra or the plain flagship name mean the largest and most capable model, with the highest price and slower responses, suited to hard reasoning, long documents and difficult code. Naming is not standardized across companies, so a version number or a date in the name matters too. Always compare actual prices and test on your own task. ### What do "preview", "beta" and "experimental" mean for a new model? These labels tell you a model is not yet a finished, supported product. A preview or beta model is available for testing, but its behavior, pricing, rate limits and even its name can change, and it may be withdrawn on short notice. An experimental model is the least stable of the three and is often meant for feedback rather than production. Providers sometimes apply stricter usage limits or exclude preview models from their service guarantees. They are a good way to try new capabilities early and judge whether they are worth adopting, but avoid building a customer-facing feature that depends on one without a fallback. Wait for the general availability label, or keep a stable model ready to switch to. ## Other pages on this site - Price comparison (home): /index.md - Model directory: /models.md - Company profiles: /companies.md - Run your LLM: /run-your-llm.md - Hosted LLM: /hosted-llm.md - AI gateways: /gateways.md - LLM updates: /updates.md - Blog: /blog.md - Contact: /contact.md - Privacy: /privacy.md - Terms: /terms.md - Imprint: /imprint.md