Z.AI Coding Plan

Budget coding subscription by Moonshot AI

Kimi Coding Plan covers Moonshot AI's consumer subscription tiers and API pricing for accessing Kimi's AI coding capabilities, powered by the Kimi K2.5 model that scores 76.8% on SWE-Bench Verified. Includes a free Adagio tier with unlimited basic conversations, paid Andante and Presto tiers with higher K2.5 quotas, and pay-as-you-go platform API pricing for integrating Kimi into custom workflows.

Multi-model coding subscription by Minimax

The MiniMax Coding Plan is a subscription service providing developers with flat-rate access to MiniMax's AI models for coding tasks, with three monthly tiers designed to offer dramatically more value than per-token pricing from Anthropic or OpenAI. MiniMax positions its coding plans as delivering capacity equivalent to Claude Code Max at a fraction of the cost, making high-performance AI coding assistance accessible to a broader range of developers.

Multi-model coding subscription by Alibaba Cloud

Alibaba Cloud Coding Plan is a flat-rate subscription that bundles access to multiple AI coding models — Qwen3.5-Plus, Qwen3-Coder-Next, GLM-4.7, and Kimi-K2.5 — under a single monthly fee, replacing unpredictable pay-per-token API pricing. It integrates with popular AI coding tools including Cline, Claude Code, and OpenCode, giving developers and small teams enterprise-grade Chinese AI models at dramatically lower price points than Western competitors.

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Hugging Face's open-source inference server for embeddings, rerankers, and classifiers

Text Embeddings Inference is Hugging Face's Apache-2.0 server for high-throughput embedding, reranking, and sequence-classification models. TEI packages token-based dynamic batching, optimized Transformers kernels, Safetensors loading, OpenAI-compatible embedding endpoints, Prometheus metrics, and configurable OpenTelemetry tracing in deployable CPU and GPU images.

Open-source toolkit for quantizing, deploying, and serving LLMs and vision-language models

LMDeploy is an Apache-2.0 toolkit for self-hosting LLM and vision-language model inference with TurboMind and PyTorch engines. It combines continuous batching, blocked KV cache, tensor parallelism, AWQ and KV-cache quantization with OpenAI-compatible APIs, multi-GPU distribution, offline pipelines, and production metrics.

Multi-agent model API that orchestrates frontier models behind one OpenAI-compatible endpoint

Sakana Fugu is a hosted model-provider API that exposes a learned multi-agent system as one OpenAI-compatible model. It dynamically routes coding, code review, research, and reasoning tasks across a frontier-model pool, with Fugu for lower-latency work and Fugu Ultra for harder workloads where answer quality matters more than cost or speed.

Lifelike AI voice generation, cloning, and voice agents

ElevenLabs is an AI voice platform for text-to-speech, voice cloning, and conversational AI agents, built on models like Multilingual v2 and the low-latency Flash v2.5 and Turbo v2.5. Developers call its API to generate lifelike narration, clone voices from short audio samples, dub content across 30+ languages, add sound effects, and deploy real-time voice agents for customer service, IVR, and interactive apps, with SDKs for Python, JavaScript, and more.