# Models — Hanzo AI

> Explore frontier models and open-weight architectures. Access Enso, Zen, and 500+ partner models through one unified OpenAI-compatible API.

Models

# Frontier AI families

Proprietary and open weight models for text, decisions, video, image, and more — one account, one API key.

[Get API key](https://platform.hanzo.ai/api-keys)[Every model](#catalog)

Live from api.hanzo.ai

POST /v1/chat/completionsexample

Enso

Zen 6

Claude Fable 5

{ "model": "enso",
"messages": [{ "role": "user", "content": "Who are you?" }] }

EnsoHanzo's proprietary frontier model — Opus-class reasoning by default with 1M-context overflow.

900Ktext

Three families

## Enso routes. Kai decides. Zen reasons.

- routesEnsoPicks the model for every call, in every modality.Explore Enso →
- decidesKaiAnswers a choice, a score or a yes/no, with the probability of each.11 · Suites won · Kai vs JevExplore Kai →
- reasonsZenOpen weights for the code, the copy, the images and the voice.Zen 6 and Zen 6 Flash now · Zen 7 in research previewExplore Zen →

Enso vs Zen

## Proprietary orchestration, on open foundations

### Enso

Proprietary · Hanzo Cloud only

- Flash, Pro and Ultra presets
- OpenAI- and Anthropic-compatible
- Metered and audited per organization

[Explore Enso →](https://hanzo.ai/enso)

### Zen

Open weights · Zoo Labs Foundation

- Free to download and self-host
- Or call it on Hanzo Cloud
- From a 501(c)(3) non-profit

[Explore Zen →](https://hanzo.ai/zen)

## Enso models

[Ensoenso900KHanzo's proprietary frontier model — Opus-class reasoning by default with 1M-context overflow.text](https://hanzo.ai/models/hanzo/enso)

[Enso Flashenso-flash900KFast, economical Enso tier for high-volume, low-latency everyday work, with 1M-context overflow.text](https://hanzo.ai/models/hanzo/enso-flash)

[Enso Ultraenso-ultra1MAdaptive fan-out — probes a task-appropriate model, escalates to a top-K panel only when needed, then verifies-then-selects the best answer.text](https://hanzo.ai/models/hanzo/enso-ultra)

[Enso: the router, its presets and its runs →](https://hanzo.ai/enso)

## Zen models

Open weights, made with [Zoo Labs Foundation](https://zoo.ngo). Download every Zen model at [huggingface.co/zenlm](https://huggingface.co/zenlm), or call it here.

[Zen6zen61Mtext](https://hanzo.ai/models/hanzo/zen6)

[Zen6 Flashzen6-flash1Mtext](https://hanzo.ai/models/hanzo/zen6-flash)

[Zen5 (Default)zen51MCanonical Zen5 default. a 35B frontier MoE (3B active) (35B total / 3B active per token, released Apr 2026, Apache-2.0). 256K context, agentic-trained, OpenAI + Anthropic API. The everyday Zen5 chat model.text](https://hanzo.ai/models/hanzo/zen5)

[Zen5 Prozen5-pro1MZen Flash IQ2_XXS-imatrix weights (81 GB GGUF on zenlm/zen-5-pro-gguf). 284B total / 37B active per token, 1M context, asymmetric routed-MoE quant. Fits a single 128 GB Apple Silicon / DGX Spark / H100 80 GB.text](https://hanzo.ai/models/hanzo/zen5-pro)

[Zen5 Coderzen5-coder1MCode-specialized Zen5 tier. 80B sparse MoE tuned for repo-scale code understanding, agentic refactoring, and tool-use coding loops.text](https://hanzo.ai/models/hanzo/zen5-coder)

[Zen5 Flashzen5-flash1MSmallest and cheapest text-only Zen5 chat tier. 4B-class dense, sub-100ms TTFT, 32K context. For high-volume routing and simple agent loops.text](https://hanzo.ai/models/hanzo/zen5-flash)

[Zen VL — Vision-Languagezen-vl1MReads images and reasons over them — visual Q&A, document and chart understanding, grounded captioning.text](https://hanzo.ai/models/hanzo/zen-vl)

[Zen Embeddingzen-embedding33KDense text embeddings for semantic search, retrieval, and clustering.embeddings](https://hanzo.ai/models/hanzo/zen-embedding)

Zen 7zen7

The next open-weight generation after Zen 6, in research preview.

Research preview[Request access](https://hanzo.ai/research-access?track=zen)

[Run Zen: the docs →](https://docs.hanzo.ai/docs/models/zen)

## Kai decision models

[Kaikai33KHanzo Kai is a structured decision model answering typed questions at /v1/decisions with calibrated probabilities and zero output tokens. Full multimodal decision architecture (~850M parameters, 32K reach); native vision and audio towers: Kai-1.7 target.TextStateVision (Kai-1.7 target)](https://hanzo.ai/models/hanzo/kai)

[Decision Benchmarks11 suites won vs jevAhead of Jev on 11 suites: AG News, DAIR Emotion, Banking77, Support triage, Email spam, Phishing, Toxicity, RAG relevance, Model routing, Typed decisions, MASSIVE, 51 languages. 84.4% mean accuracy across these 11 suites, against Jev's 76.6%. 100.0% of repeated requests answer identically, against Jev's 44.2%.benchmarks](https://hanzo.ai/kai#benchmarks)

[Autonomous Agent Steeringdecision-readyA choice, a score or a yes/no, each with its probabilities, for agent loops such as Hanzo Dev's.choicescorenoul](https://hanzo.ai/kai#types)

[Kai: decisions and their benchmarks →](https://hanzo.ai/kai)

## Creative models

Video, images, 3D, sound effects, voice and music, each its own model, in research preview.

[Komakoma-1Research previewCinematic video generation, character continuity, motion, animation, and shot-level creative control.Videoapi.hanzo.ai/v1/video](https://hanzo.ai/koma)

[Iroiro-1Research previewHigh-fidelity image generation, creative direction, editing, character design and consistent visual assets.Imageapi.hanzo.ai/v1/images](https://hanzo.ai/iro)

[Morimori-1Research preview3D assets, geometry, materials, environments and spatially consistent scenes.3Dapi.hanzo.ai/v1/3d](https://hanzo.ai/mori)

[Otooto-1Research previewFilm Foley, immersive sound effects, environmental audio and synchronized scene sound.Foleyapi.hanzo.ai/v1/foley](https://hanzo.ai/oto)

[Koekoe-1Research previewDirectable speech synthesis, character performances, dubbing and multilingual dialogue.Voiceapi.hanzo.ai/v1/audio/speech](https://hanzo.ai/koe)

[Utauta-1Research previewSoundtracks, original songs, musical ideas, cue-driven scoring and creative music production.Musicapi.hanzo.ai/v1/music](https://hanzo.ai/uta)

[Make something in Studio →](https://hanzo.ai/studio)

## Flagships from other labs

[Claude Fable 5anthropic/claude-fable-51MClaude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...text](https://hanzo.ai/models/anthropic/claude-fable-5)

[GPT-3.5 Turbo (older v0613)openai/gpt-3.5-turbo-06134KGPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.text](https://hanzo.ai/models/openai/gpt-3.5-turbo-0613)

[Gemini 2.5 Progoogle/gemini-2.5-pro1MGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...text](https://hanzo.ai/models/google/gemini-2.5-pro)

[DeepSeek V3deepseek/deepseek-chat164KDeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...text](https://hanzo.ai/models/deepseek/deepseek-chat)

[Grok 4.20x-ai/grok-4.202MGrok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...text](https://hanzo.ai/models/x-ai/grok-4.20)

[Muse Glimmer 30Bmeta/muse-glimmer-30b131KMuse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...text](https://hanzo.ai/models/meta/muse-glimmer-30b)

[Command Acohere/command-a256KCommand A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...text](https://hanzo.ai/models/cohere/command-a)

[Every model, priced →](#catalog)

## Every model, and what it costs

Dollars per million tokens, in and out, from the live catalog.

Reading every model and its rate from api.hanzo.ai

[How models are called and billed →](https://docs.hanzo.ai/docs/models)

## Try any model

Test any model directly on the gateway. Switch models by changing one string.

Sign in to chat with Enso, Zen, or any model on the endpoint. Pick a model, start a thread, billed to your account and kept private.

[Get free API key](https://platform.hanzo.ai/api-keys)[Open Hanzo Chat](https://hanzo.ai/chat)

## Your first request

The chat-completions shape you already send, at api.hanzo.ai/v1, in the language you write.

cURL

Python

TypeScript

Go

cURL

```
curl https://api.hanzo.ai/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $HANZO_API_KEY" \ -d '{ "model": "enso", "messages": [{"role": "user", "content": "Hello!"}] }'
```

Python

```
from openai import OpenAI client = OpenAI( api_key=os.environ["HANZO_API_KEY"], base_url="https://api.hanzo.ai/v1" ) response = client.chat.completions.create( model="enso", messages=[{"role": "user", "content": "Hello!"}] ) print(response.choices[0].message.content)
```

TypeScript

```
import OpenAI from 'openai' const client = new OpenAI({ apiKey: process.env.HANZO_API_KEY, baseURL: 'https://api.hanzo.ai/v1' }) const response = await client.chat.completions.create({ model: 'enso', messages: [{ role: 'user', content: 'Hello!' }] }) console.log(response.choices[0].message.content)
```

Go

```
package main import ( "context" "fmt" "os" "github.com/sashabaranov/go-openai" ) func main() { cfg := openai.DefaultConfig(os.Getenv("HANZO_API_KEY")) cfg.BaseURL = "https://api.hanzo.ai/v1" client := openai.NewClientWithConfig(cfg) resp, _ := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ Model: "enso", Messages: []openai.ChatCompletionMessage{ {Role: openai.ChatMessageRoleUser, Content: "Hello!"}, }, }, ) fmt.Println(resp.Choices[0].Message.Content) }
```

[Get an API key →](https://platform.hanzo.ai/api-keys)[The quickstart →](https://docs.hanzo.ai/docs/quickstart)

Related capabilities

[AgentsBuild & run agents](https://hanzo.ai/agents)[Inference](https://hanzo.ai/engine)[EmbeddingsTurn anything into vectors](https://hanzo.ai/cloud/embeddings)
