# Vivgrid
> Vivgrid is the Managed Skills platform: serverless LLM function calling that lets enterprise AI agents run their tools in the cloud — with observability, evaluation, and globally distributed inference built in.
## About Vivgrid
- Category: Managed Skills — cloud-hosted tools (LLM function calling) for AI agents. Personal agents can run tools on laptops; enterprise agents cannot. Vivgrid hosts skills server-side with centralized security, auditing, and instant iteration.
- Architecture: system prompts, models, and tools are managed server-side, decoupled from the client, so agents improve in minutes instead of release cycles.
- Products: Managed Skills (serverless LLM function calling), unified Model API (GPT, Claude, Gemini, DeepSeek families), agent evaluation, observability and insights, geo-distributed low-latency inference.
- Compared to agent observability tools (LangSmith, Braintrust): Vivgrid also hosts and runs agent skills in production, not only traces and evaluates them.
- Compared to model routers (OpenRouter): Vivgrid manages the full server-side agent runtime — prompts, models, and tools — not only model access.
- Compared to inference clouds (LangSmith, OpenRouter, Baseten, Fireworks AI, Together AI): they serve models; Vivgrid runs the whole agent — models, cloud-hosted tools, evaluation, and BYOC. See https://vivgrid.com/compare.
- Company: Vivgrid is a product of Allegro US, LLC, San Francisco, California, United States. Contact: hi@vivgrid.com.
- Open source: built by the team behind the Yomo framework (https://github.com/yomorun/yomo). GitHub: https://github.com/vivgrid.
Each documentation link below points to a clean Markdown (.md) version of the page, optimized for LLMs and AI agents.
## Get Started

- [Alchemist - Agent Evaluation Tool](https://vivgrid.com/docs/agent-evaluation.md): Alchemist is Vivgrid's agent evaluation tool — run recursive and regression evaluations to validate AI agent behavior before release.
- [Introduction](https://vivgrid.com/docs/introduction.md): Vivgrid is the Managed Skills platform — cloud-hosted LLM function calling for enterprise AI agents, with built-in observability and evaluation.
- [Managed Skills](https://vivgrid.com/docs/managed-skills.md): Build a strongly typed AI skill (Function Tool or MCP Tool) and deploy it to Vivgrid's global network in minutes with Yomo and the viv CLI.
- [Models](https://vivgrid.com/docs/models.md): All AI models supported by Vivgrid — from frontier to fast, with current and earlier models grouped by price tier.
- [Observability & Insights](https://vivgrid.com/docs/observability.md): Vivgrid observability gives you deep insight into AI agent performance — monitor, analyze, and optimize your agents in one place.
- [Quick Start](https://vivgrid.com/docs/quick-start.md): Go from your first API request to a custom AI skill running on Vivgrid's global network — in minutes.
- [Vivgrid Open Source & Startup Sponsorship](https://vivgrid.com/docs/sponsorship.md): Build, test, and scale with Vivgrid’s platform plus sponsored access to gpt-6, Claude Opus 5, Gemini 3, and DeepSeek V4.
- [viv CLI — Deploy AI Skills to Vivgrid](https://vivgrid.com/docs/viv.md): Deploy AI skills to Vivgrid's global network with the viv CLI: commands for deploy, upload, create, status, logs, and vivgrid.yml configuration.

## Models

- [Models](https://vivgrid.com/docs/models.md): All AI models supported by Vivgrid — from frontier to fast, with current and earlier models grouped by price tier.
- [claude-fable-5-1 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-fable-5-1.md): Run Anthropic's claude-fable-5-1 on Vivgrid: the most capable Claude model, with a 1M-token context window, 128K max output, and global acceleration.
- [claude-fable-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-fable-5.md): Run Anthropic's claude-fable-5 on Vivgrid: the first Fable-tier Claude, with a 1M-token context window, 128K max output, and global acceleration.
- [claude-haiku-4-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-haiku-4-5.md): claude-haiku-4-5 on Vivgrid: Anthropic's fast, low-cost Haiku model with a 200K context window, Messages API, and geo-distributed acceleration.
- [claude-haiku-5-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-haiku-5-5.md): Run Anthropic's claude-haiku-5-5 on Vivgrid: the fastest Haiku for high-volume, low-latency work, with a 1M-token context window and 128K max output.
- [claude-opus-4-6 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-opus-4-6.md): claude-opus-4-6 on Vivgrid: Anthropic's high-end Opus coding model with a 1M-token context window, Messages API, and geo-distributed acceleration.
- [claude-opus-4-7 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-opus-4-7.md): Run Anthropic's claude-opus-4-7 on Vivgrid: a frontier coding model with a 1M-token context window, the Messages API, and global acceleration.
- [claude-opus-4-8 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-opus-4-8.md): Run Anthropic's claude-opus-4-8 on Vivgrid: the frontier Opus coding model with a 1M-token context window, the Messages API, and global acceleration.
- [claude-opus-5-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-opus-5-5.md): Run Anthropic's claude-opus-5-5 on Vivgrid: the latest Opus for long-running agentic coding, with a 1M-token context window and 128K max output.
- [claude-opus-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-opus-5.md): Run Anthropic's claude-opus-5 on Vivgrid: the flagship Opus coding model with a 1M-token context window, 128K max output, and global acceleration.
- [claude-sonnet-4-6 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-sonnet-4-6.md): claude-sonnet-4-6 on Vivgrid: Anthropic's balanced Sonnet model with a 1M-token context window, Messages API, and geo-distributed acceleration.
- [claude-sonnet-5-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-sonnet-5-5.md): Run Anthropic's claude-sonnet-5-5 on Vivgrid: the best balance of speed and intelligence, with a 1M-token context window and 128K max output.
- [claude-sonnet-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/claude-sonnet-5.md): claude-sonnet-5 on Vivgrid: Anthropic's Sonnet 5 model with a 1M-token context window, Messages API, and geo-distributed acceleration.
- [decision-1 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/decision-1.md): decision-1 (Microsoft-Decision-1) on Vivgrid: returns predefined answers with confidence scores, not generated text, with a 32K-token request window.
- [deepseek-r1-0528 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-r1-0528.md): deepseek-r1-0528 on Vivgrid: DeepSeek's reasoning-focused R1 model with a 164K context window, available through one unified API.
- [deepseek-v3.1 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v3.1.md): deepseek-v3.1 on Vivgrid: DeepSeek's reliable general-purpose model with a 131K context window and low token pricing.
- [deepseek-v3.2 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v3.2.md): deepseek-v3.2 on Vivgrid: DeepSeek's efficient general-purpose model with a 128K context window and very low token pricing.
- [deepseek-v4-flash-vision-exp — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v4-flash-vision-exp.md): deepseek-v4-flash-vision-exp on Vivgrid: DeepSeek's fast, ultra-affordable model with image input, a 1M-token context window, and up to 384K output.
- [deepseek-v4-flash (0731) — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v4-flash.md): deepseek-v4-flash (0731) on Vivgrid: DeepSeek's fast, ultra-affordable model with a 1M-token context window and up to 384K output tokens.
- [deepseek-v4-pro-0813 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v4-pro-0813.md): deepseek-v4-pro-0813 on Vivgrid: DeepSeek's flagship coding model with a 1M-token context window, up to 384K output, and lower pricing than v4-pro.
- [deepseek-v4-pro — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v4-pro.md): deepseek-v4-pro on Vivgrid: DeepSeek's flagship coding model with a 1M-token context window, up to 384K output tokens, and competitive pricing.
- [deepseek-v4.1-flash (1017) — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/deepseek-v4.1-flash.md): deepseek-v4.1-flash (1017) on Vivgrid: DeepSeek's fast, ultra-affordable V4.1 model with image input, a 1M-token context window, and up to 384K output.
- [gemini-2.5-flash — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-2.5-flash.md): gemini-2.5-flash on Vivgrid: Google's fast, affordable multimodal model with a 1M-token context window across text, image, video, audio and PDF.
- [gemini-2.5-pro — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-2.5-pro.md): gemini-2.5-pro on Vivgrid: Google's proven multimodal model with a 1M-token context window across text, image, video, audio and PDF.
- [gemini-3-flash-preview — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3-flash-preview.md): gemini-3-flash-preview on Vivgrid: Google's fast multimodal Gemini 3 model with a 1M-token context window and very low cached pricing.
- [gemini-3-pro-image — API, Pricing & Image Tokens | Vivgrid](https://vivgrid.com/docs/models/gemini-3-pro-image.md): gemini-3-pro-image (Nano Banana Pro) on Vivgrid: Google's highest-quality image generation and editing model, with per-image token pricing.
- [gemini-3-pro-preview — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3-pro-preview.md): gemini-3-pro-preview on Vivgrid: Google's high-end multimodal model with a 1M-token context window across text, image, video, audio and PDF.
- [gemini-3.1-flash-image — API, Pricing & Image Tokens | Vivgrid](https://vivgrid.com/docs/models/gemini-3.1-flash-image.md): gemini-3.1-flash-image (Nano Banana 2) on Vivgrid: Google's high-volume image generation and editing model, with per-image token pricing.
- [gemini-3.1-flash-lite-preview — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3.1-flash-lite-preview.md): gemini-3.1-flash-lite-preview on Vivgrid: Google's lightweight multimodal model with a ~1M-token context window at a very low price.
- [gemini-3.1-pro-preview — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3.1-pro-preview.md): gemini-3.1-pro-preview on Vivgrid: Google's high-end multimodal coding model with a ~1M-token context window across text, image, video, audio and PDF.
- [gemini-3.5-flash — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3.5-flash.md): gemini-3.5-flash on Vivgrid: Google's fast multimodal model with a 1M-token context window across text, image, video, audio and PDF.
- [gemini-3.6-flash — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3.6-flash.md): gemini-3.6-flash on Vivgrid: Google's fast agentic model with a 1M-token context window, tuned for coding loops and multi-step tool use.
- [gemini-3.7-flash — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3.7-flash.md): gemini-3.7-flash on Vivgrid: Google's latest fast agentic model with a 1M-token context window, at introductory pricing through 2026.
- [gemini-3.8-flash — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-3.8-flash.md): gemini-3.8-flash on Vivgrid: Google's newest fast agentic model with 1M-token context, 128K max output, and text, image, video, audio, and PDF input.
- [gemini-4-argon — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gemini-4-argon.md): gemini-4-argon on Vivgrid: Google's flagship reasoning and coding model with a 1M-token context window, 1M max output, and text, image, video, audio, and PDF input.
- [gemini-nano-banana-2.1 — API, Pricing & Image Tokens | Vivgrid](https://vivgrid.com/docs/models/gemini-nano-banana-2.1.md): gemini-nano-banana-2.1 on Vivgrid: Google's latest image generation and editing model, with text, image and video input and per-image token pricing.
- [glm-5.1 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/glm-5.1.md): glm-5.1 on Vivgrid: Zhipu AI's capable coding model with a 200K context window, function calling, and competitive pricing.
- [glm-5.2 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/glm-5.2.md): glm-5.2 on Vivgrid: Zhipu AI's coding model with a 1M-token context window, function calling, and competitive pricing.
- [glm-5.3-flash — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/glm-5.3-flash.md): glm-5.3-flash on Vivgrid: Zhipu AI's fast, low-cost multimodal model with image, video, and audio input, a 1M-token context window, and 384K output.
- [glm-5.3 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/glm-5.3.md): glm-5.3 on Vivgrid: Zhipu AI's coding and long-horizon agent model with a 1M-token context window, function calling, and competitive pricing.
- [gpt-4.1 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-4.1.md): gpt-4.1 on Vivgrid: OpenAI's GPT-4.1 with a ~1M-token context window and image input, available through a single unified API.
- [gpt-4o — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-4o.md): gpt-4o on Vivgrid: OpenAI's multimodal GPT-4o with a 128K context window and image input, accessible through one unified API key.
- [gpt-5-mini — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5-mini.md): gpt-5-mini on Vivgrid: a fast, affordable GPT-5 model with a 272K context window, function calling, and three-region acceleration.
- [gpt-5.1-codex-max — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.1-codex-max.md): gpt-5.1-codex-max on Vivgrid: an extended-effort Codex coding model on the Responses API with a 400K context window and geo-distributed acceleration.
- [gpt-5.1-codex — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.1-codex.md): gpt-5.1-codex on Vivgrid: a Codex-tuned coding model on the Responses API with a 400K context window and three-region geo-distributed acceleration.
- [gpt-5.1 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.1.md): gpt-5.1 on Vivgrid: a general-purpose GPT-5 model with a 272K context window, text, image and audio input, and regional acceleration.
- [gpt-5.2-codex — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.2-codex.md): gpt-5.2-codex on Vivgrid: a Codex-tuned coding model on the Responses API with a 400K context window, function calling, and regional acceleration.
- [gpt-5.2 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.2.md): gpt-5.2 on Vivgrid: a capable general-purpose GPT-5 model with a 400K context window, function calling, and geo-distributed acceleration.
- [gpt-5.3-codex — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.3-codex.md): gpt-5.3-codex on Vivgrid: OpenAI's Codex-tuned coding model on the Responses API, with a 400K context window and geo-distributed acceleration.
- [gpt-5.4-mini — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.4-mini.md): gpt-5.4-mini on Vivgrid: a fast, low-cost GPT-5.4 model with a 400K context window, PDF and image input, and three-region acceleration.
- [gpt-5.4-nano — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.4-nano.md): gpt-5.4-nano on Vivgrid: the smallest, most economical GPT-5.4 model with a 400K context window and image and PDF input for high-scale tasks.
- [gpt-5.4 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.4.md): Use OpenAI's gpt-5.4 on Vivgrid: a 1.05M-token coding model with three-region acceleration (AMER, EMEA, APAC) and an OpenAI-compatible API.
- [gpt-5.5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.5.md): Run OpenAI's gpt-5.5 on Vivgrid: a 1.05M-token flagship coding model for agents and CLIs, with geo-distributed acceleration and a unified API.
- [gpt-5.6-luna — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.6-luna.md): gpt-5.6-luna on Vivgrid: OpenAI's fast, low-cost gpt-5.6 model with a 1.05M-token context window for high-volume agent workloads.
- [gpt-5.6-sol — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.6-sol.md): Run OpenAI's gpt-5.6-sol on Vivgrid: the flagship gpt-5.6 coding model with a 1.05M-token context window, global acceleration, and a unified API.
- [gpt-5.6-terra — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.6-terra.md): gpt-5.6-terra on Vivgrid: OpenAI's balanced gpt-5.6 model with a 1.05M-token context window, strong coding, and geo-distributed acceleration.
- [gpt-5 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-5.md): gpt-5 on Vivgrid: OpenAI's GPT-5 model with a 272K context window, function calling, and three-region geo-distributed acceleration.
- [gpt-6-astra — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-6-astra.md): Run OpenAI's gpt-6-astra on Vivgrid: the flagship gpt-6 coding model with a 1.05M-token context window, global acceleration, and a unified API.
- [gpt-6-luna — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-6-luna.md): gpt-6-luna on Vivgrid: OpenAI's fast, low-cost gpt-6 model with a 1.05M-token context window for high-volume agent workloads.
- [gpt-6-sol — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-6-sol.md): Run OpenAI's gpt-6-sol on Vivgrid: the balanced gpt-6 model with a 1.05M-token context window, 128K max output, and geo-distributed acceleration.
- [gpt-6.1-sol — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-6.1-sol.md): Run OpenAI's gpt-6.1-sol on Vivgrid: the latest balanced gpt-6 model with a 1.05M-token context window, 128K max output, and global acceleration.
- [gpt-6.1-terra — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/gpt-6.1-terra.md): gpt-6.1-terra on Vivgrid: OpenAI's fast, efficient model for visual reasoning, computer use, and writing, with a 1.05M-token context window, 128K max output, and geo-distributed acceleration.
- [gpt-image-2.5-flare — API, Pricing & Image Tokens | Vivgrid](https://vivgrid.com/docs/models/gpt-image-2.5-flare.md): gpt-image-2.5-flare on Vivgrid: OpenAI's gpt-image-2.5 image model via the OpenAI-compatible Images API, with per-token text and image pricing.
- [gpt-image-2.5-sunburst — API, Pricing & Image Tokens | Vivgrid](https://vivgrid.com/docs/models/gpt-image-2.5-sunburst.md): gpt-image-2.5-sunburst on Vivgrid: OpenAI's gpt-image-2.5 image model via the OpenAI-compatible Images API, with per-token text and image pricing.
- [jev — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/jev.md): jev on Vivgrid: TypeSafe's System One model, returning typed, confidence-scored decisions in milliseconds instead of generated text.
- [kimi-k2.6 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/kimi-k2.6.md): kimi-k2.6 on Vivgrid: Moonshot AI's coding model with a 262K context window, up to 256K output tokens, and function calling.
- [kimi-k2.8-preview — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/kimi-k2.8-preview.md): kimi-k2.8-preview on Vivgrid: Moonshot AI's efficient coding model with a 1M-token context window and tool calling, at a fraction of kimi-k3's price.
- [kimi-k3 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/kimi-k3.md): Run Moonshot AI's kimi-k3 on Vivgrid: a frontier coding model with 1M-token context, 128K max output, tool calling, and an OpenAI-compatible API.
- [minimax-m2.7 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/minimax-m2.7.md): minimax-m2.7 on Vivgrid: MiniMax's affordable coding model with a 205K context window, 131K max output, and APAC acceleration.
- [minimax-m3 — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/minimax-m3.md): minimax-m3 on Vivgrid: MiniMax's efficient coding model with a 512K context window, 128K max output, and very competitive pricing.
- [viv-fast — API, Pricing & Context Window | Vivgrid](https://vivgrid.com/docs/models/viv-fast.md): viv-fast is Vivgrid's own fast, low-cost multimodal model: text and image input, a 1M-token context window, and up to 256K output tokens.

## Tutorials

- [Claude Code × Vivgrid](https://vivgrid.com/docs/tutorials/claude-code.md): How to use Vivgrid with Claude Fable 5.1, Claude Opus 5.5 in Claude Code
- [OpenClaw × Vivgrid](https://vivgrid.com/docs/tutorials/clawdbot.md): How to configure OpenClaw to use advanced LLMs through Vivgrid's unified model gateway
- [ChatGPT/Codex × Vivgrid](https://vivgrid.com/docs/tutorials/codex.md): How to use Vivgrid with gpt-6-sol and gpt-6-astra in Codex
- [Elia x Vivgrid](https://vivgrid.com/docs/tutorials/elia.md): How to integrate Vivgrid to Elia
- [fx × Vivgrid](https://vivgrid.com/docs/tutorials/fx.md): Use gemini-4-argon, gpt-6.1-sol, claude-opus-5-5 and glm-5.3 in fx with Vivgrid
- [OpenCode × Vivgrid](https://vivgrid.com/docs/tutorials/opencode.md): How to use Vivgrid with gemini-4-argon in OpenCode.ai
- [Pi × Vivgrid](https://vivgrid.com/docs/tutorials/pi.md): How to use Vivgrid with gemini-4-argon, gpt-6-sol and claude-opus-5-5 in Pi

## API Reference

- [Chat Completions](https://vivgrid.com/docs/api/agent/completions.md): OpenAI-compatible Chat Completions endpoint.
- [OCR](https://vivgrid.com/docs/api/model-api/ocr.md): Extracts text from an image via chat-style message with image_url content.
- [Embeddings](https://vivgrid.com/docs/api/model-api/embedding.md): Generates an embedding vector representing the input text.
- [Vibe Coding](https://vivgrid.com/docs/api/model-api/vibe-coding.md): Creates a model response. Provide text or image inputs to generate text or JSON outputs. Supports tool calling and conversation state.
- [Audio-to-Text](https://vivgrid.com/docs/api/model-api/whisper.md): Transcribes audio into the input language.
- [Text-to-Speech](https://vivgrid.com/docs/api/model-api/tts.md): Generates audio from text input (text-to-speech).
- [Image](https://vivgrid.com/docs/api/model-api/images.md): Creates an image from a text prompt (OpenAI-compatible).
- [Rerank](https://vivgrid.com/docs/api/model-api/rerank.md): Re-ranks a list of documents against a query using an embedding/rerank model.

## Marketplace

- [Autosend](https://vivgrid.com/docs/marketplace/autosend.md): Send transactional and automated emails via Autosend on Vivgrid

## Compare

- [Vivgrid vs. Alternatives](https://vivgrid.com/compare.md): Side-by-side comparisons of Vivgrid with LangSmith, OpenRouter, Baseten, Fireworks AI, Together AI.

## Blog

- [Baseten vs. Vivgrid: Inference Is Everything — Until Your Agent Has to Act](https://vivgrid.com/blog/baseten-vs-vivgrid.md): Evaluating Baseten? It deploys and scales your own models. Vivgrid runs enterprise agents — every model on one key, cloud-hosted tools, and BYOC.
- [Decouple the Agent: Why Prompts, Tools, and Models Don't Belong in Your Client](https://vivgrid.com/blog/decoupling-prompts-tools-models-from-agent-client.md): Treat prompts as runtime config, tools as Managed Skills, models as a platform choice — and fix agent behavior from the console, not an app release.
- [Fireworks AI vs. Vivgrid: Fireworks Builds the Model, Vivgrid Runs the Agent](https://vivgrid.com/blog/fireworks-ai-vs-vivgrid.md): Evaluating Fireworks AI? It trains and serves open models. Vivgrid runs enterprise agents — every model on one key, cloud-hosted tools, and BYOC.
- [LangSmith vs. Vivgrid: Observability Shows What Happened, Managed Skills Let You Fix It](https://vivgrid.com/blog/langsmith-vs-vivgrid.md): Evaluating LangSmith? It shows what your agent did. Vivgrid runs enterprise agents — cloud-hosted tools, server-side prompts, and release-gating evals.
- [Vivgrid Skills Marketplace - Autosend](https://vivgrid.com/blog/marketplace-autosend.md): Automate customer emails from your AI agents with Autosend MCP on Vivgrid. Send transactional emails, notifications, and more — no code needed.
- [Migrating from LangChain to Managed Skills: A Step-by-Step Guide](https://vivgrid.com/blog/migrating-from-langchain-to-managed-skills.md): You don't have to rewrite your LangChain agent to get managed tooling. Here's how to migrate your tools to Vivgrid Managed Skills, step by step.
- [OpenRouter vs. Vivgrid: Routing Models Is Not Running Agents](https://vivgrid.com/blog/openrouter-vs-vivgrid.md): Evaluating OpenRouter? It routes model calls across providers. Vivgrid runs enterprise agents — every model on one key, cloud-hosted tools, and evals.
- [The Office Taxes: Which Model Should Do Your Office Work?](https://vivgrid.com/blog/the-office-taxes-which-model-should-do-your-office-work.md): We graded 188 runs of five LLMs on three everyday office tasks. Which model to use depends on the task — here is the split, the cost per finished task, and how much checking each still needs.
- [Together AI vs. Vivgrid: A Cloud for Models, a Platform for Agents](https://vivgrid.com/blog/together-ai-vs-vivgrid.md): Evaluating Together AI? It runs and fine-tunes open models. Vivgrid runs enterprise agents — every model on one key, cloud-hosted tools, and evals.
- [Why Enterprise Agents Can't Run Tools on Laptops](https://vivgrid.com/blog/why-enterprise-agents-cant-run-tools-on-laptops.md): Enterprise agents can't run tools on laptops: credentials, audits, and consistency break at scale. Managed Skills run agent tools in the cloud.

## Company

- [Pricing](https://vivgrid.com/pricing.md): Free tier with pay-as-you-go pricing and a $25/mo Growth plan; $200/mo credits available to approved open-source maintainers on request.