DeepSeek API pricing guide for models, cache hits, and peak hours (2026).
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DeepSeek API pricing guide for models, cache hits, and peak hours (2026).
OmniEdu: Open Foundation Models for Learning and Teaching
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
Uncensored AI API and models — one key for Claude, GPT, Gemini, Grok, DeepSeek, GLM, Qwen and Kimi, with uncensored and abliterated variants where available. OpenAI- and Anthropic-compatible. Pay per token.
GLM 5.3 abliterated or uncensored API access with RouterHub. Browse 35 jailbreak prompt links, compare GLM models, and find SDK examples, coding-tool setup, pricing, and evaluation guides.
AI jailbreaks: 35 paste-ready AI jailbreak prompts for 25+ frontier and open-weight models - system prompts, AGENTS.md specs, and Ollama Modelfiles. Built for AI security research and red-team testing.
An easier way to use AI on your own computer. A free, open-source alternative to Claude and ChatGPT that runs open-weight models like Gemma and gpt-oss locally on Mac, Windows and Linux. Private, and works offline.
TranslatedFerry OpenCode's free models over to WorkBuddy — isolated runtime, concurrent detection, verdict caching, one-click import, and a local OpenAI-compatible forwarding port
A large language model (LLM) plugin for Neovim, provides commands to interact with LLM (like ChatGPT, Copilot, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models.
TranslatedConnect all the model quotas you can get for free into the same DSH pool: automatic multi-account fault tolerance for WorkBuddy, QR-code login for 13 providers, aggregation of free quotas from 76 providers, a usage dashboard, model routing, a local OpenAI gateway, and automated points collection.
Make Codex and Claude Code subscriptions go further: a local model router that gives routine agent work to economical models and keeps your strongest model for the hard parts.
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers/LLM, with compute-matched benchmarking and a platform for autonomous architecture research.
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Uncensored AI API and models — one key for Claude, GPT, Gemini, Grok, DeepSeek, GLM and Kimi, with uncensored and abliterated variants where available. OpenAI- and Anthropic-compatible. Pay per token.
From a universe of models to Collective Model Intelligence.
Free AI models for every coding tool — a local OpenAI-compatible gateway for Claude Code, Codex, Cursor, Cline and OpenCode. Based on 9router (MIT).
MobiInfer runs 35B-A3B-class MoE models fully on-device on the Qualcomm Hexagon NPU, streaming experts from flash with lookahead scheduling (LES) and DSpark speculation.
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.
ModelSphere is an open-source LLM inference infrastructure designed to make production-grade model serving simple, efficient, and continuously optimized.
GLM 5.3 Abliterated or Uncensored AI model — 35 jailbreak prompts, model guide and API. One 7API key also covers Claude, GPT, Gemini, Grok, DeepSeek and Kimi.
DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.