Simple & Transparent

Pricing

Pay for what the agents use. One plan per organization, then metered per call for what the agents consume. No per-seat fee. Nothing at all for a machine that is sitting still.

Plan

One plan per organization, then billed for what the agents consume.

$19.00per month, per organization

No per-seat fee, however many people use the organization.
Usage metered per tier, booked in integer micro-USD
MCP, SDK and CLI — $0

Start — $19.00 / month

Budgeted

Every agent carries a budget. Model calls and renders are quoted before they run, so anything that would breach it is refused rather than discovered on an invoice.

You set the ceiling

A cap per period and a cap per task
A render with no headroom is refused, not run
A failed job is not billed and its hold comes back
Compute and web calls meter after the fact, on the ledger either way

How budgets work

Custom

Committed volume, procurement, or anything the meter does not cover.

Talk to us

Committed-volume pricing
Invoicing and PO terms
A monthly allowance arranged against your account
Security review and DPA

Contact sales

What a bill is made of

Four components, each on your spend breakdown under its own name. Two are quoted before they run; two are metered from what they used.

Model inference

per token, five tiers

Quoted before it runs

Input, cached reads, cache writes, output and reasoning are metered as five disjoint tiers, at the tariff for the completion window the request asked for.

inputcache_readcache_writeoutputreasoning

Computer

per second, while running

Quoted before it runs

vCPU and memory on what the machine was given. Nothing to create one, nothing while it sleeps, and the boot disk is inside the allowance — so a computer waiting between turns meters nothing.

Web tools

per call

Metered from what it used

Priced from what the provider charged, so a web call is booked after it runs. A fetch the domain policy refuses is stopped before the request and costs nothing.

Media generation

what the job cost

Metered from what it used

Billed once per finished job at its real cost; a render cannot be quoted before it runs, so it is admitted against the headroom under the agent's per-task cap instead. A job that fails is not billed.

The rates

Every rate here is the price you pay — the number the ledger books and the number your spend breakdown reports.

	Rate
Computer · vCPU	$0.0504/hr$0.000014/second	Charged by the second, while running.
Computer · memory	$0.0162/GiB-hr$0.0000045/GiB-second	Charged by the second, on the memory the machine was given.
Computer · paused	$0	No vCPU, no memory, no storage.
Computer · created	$0	There is no creation fee.
web_search	$0.002158/call	One query, up to ten results.
web_fetch	$0.001079/call	One page read as text.
MCP, SDK and CLI	$0	The interfaces are not metered.
Seats	$0	No per-seat fee, however many people use the organization.

The completion window is the biggest lever

The same model at a different window is a different price, chosen per request. Pay the interactive tariff only when a person is waiting.

immediateAnswers now, at the highest tariff.

priorityAnswers soon, at a lower one.

looseAnswers eventually, at the lowest.

Every model, at the rate the ledger books

Model inference is metered per token in five disjoint tiers, at the tariff for the completion window the request asked for.

14Zen Models

397Third-Party

432Total Models

57Providers

11Featured

74Free Models

Hanzo Enso

Flagship frontier models — Flash, Pro, and Ultra. Live per-token retail, one API key.

Explore Enso

Enso Flash

pro

Fast, economical Enso tier for high-volume, low-latency everyday work, with 1M-context overflow.

1M context window

Low latency

Start Using enso-flash

Input$2 / MTok

Output$4 / MTok

Cache WriteN/A

Cache ReadN/A

Enso

ultra max

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

1M context window

Frontier reasoning

Start Using enso

Input$4 / MTok

Output$20 / MTok

Cache WriteN/A

Cache ReadN/A

Enso Ultra

ultra max

Adaptive fan-out — probes a task-appropriate model, escalates to a top-K panel only when needed, then verifies-then-selects the best answer.

200K context window

Adaptive fan-out

Start Using enso-ultra

Input$5 / MTok

Output$25 / MTok

Cache WriteN/A

Cache ReadN/A

Zen Models

34 models across LLM, embedding, reranker, image, audio, and videoUpdated 8/5/2026

Full Model Catalog

ultra max

ultra

pro max

pro

Zen Guard — Content Safety

starter

Safety classifier for moderation and guardrails across a broad category and language set.

128K context

Safety classifier

Start Using zen-guard

Input$0.3 / MTok

Output$0.96 / MTok

Cache WriteN/A

Cache ReadFree

Zen VL — Vision-Language

pro

Reads images and reasons over them — visual Q&A, document and chart understanding, grounded captioning.

128K context

Vision + Language

Start Using zen-vl

Input$0.09 / MTok

Output$0.39 / MTok

Cache WriteN/A

Cache ReadFree

Zen 5.8

pro

Zen 5.8 flagship frontier general reasoning and agentic foundation model. Advanced chain-of-thought, 1M context, MoDE architecture.

Parameters: 397B (17B active)Architecture: Zen frontier MoE

1M context window

Frontier MoDE architecture

Native chain-of-thought

Autonomous agent loops

Start Using zen-5.8

Input$1.8 / MTok

Output$5.4 / MTok

Cache WriteN/A

Cache Read$0.35 / MTok

Zen 5.8 Coder

pro

Zen 5.8 Coder flagship autonomous coding and repository understanding model. 1M context, multi-file code synthesis, agentic refactoring.

Parameters: 397B (MoE)Architecture: Zen Coder MoE

1M context window

Code-specialized MoDE

Repository-scale synthesis

Agentic refactoring loops

Start Using zen-5.8-coder

Input$1.8 / MTok

Output$5.4 / MTok

Cache WriteN/A

Cache Read$0.35 / MTok

Zen5 (Default)

pro

Canonical 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.

Parameters: 35B (3B active)Architecture: Zen frontier MoE

256K context window

35B total / 3B active (MoE)

Zen base

Apr 2026 release

OpenAI + Anthropic API

Start Using zen5

Input$2.28 / MTok

Output$7.26 / MTok

Cache WriteN/A

Cache Read$0.42 / MTok

Zen5 Coder

pro

Code-specialized Zen5 tier. 80B sparse MoE tuned for repo-scale code understanding, agentic refactoring, and tool-use coding loops.

Parameters: 80B (MoE)Architecture: Zen Coder MoE

256K context

80B sparse MoE

Code-specialized

Agentic / tool-use

Start Using zen5-coder

Input$2.28 / MTok

Output$7.26 / MTok

Cache WriteN/A

Cache Read$0.42 / MTok

Zen5 Flash

starter

Smallest and cheapest text-only Zen5 chat tier. 4B-class dense, sub-100ms TTFT, 32K context. For high-volume routing and simple agent loops.

Parameters: 4BArchitecture: Zen dense

32K context window

4B parameters (dense)

Sub-100ms TTFT

Highest throughput

Start Using zen5-flash

Input$0.2646 / MTok

Output$0.5292 / MTok

Cache WriteN/A

Cache Read$0.05292 / MTok

Zen5 Mini

pro

Frontier agentic at the lowest cost in the family. Built on a 230B agentic MoE (10B active) (230B MoE / 10B active, released Feb 2026). 80.2% SWE-Bench Verified, 76.3% BrowseComp; trained on 200K+ real-world environments via large-scale RL.

Parameters: 230B (10B active)Architecture: Zen MoE

192K context window

230B total / 10B active (MoE)

Zen agentic base

Frontier agentic / coding

Lowest $/token in family

Start Using zen5-mini

Input$0.09 / MTok

Output$0.39 / MTok

Cache WriteN/A

Cache Read$0.09 / MTok

Zen5 Pro

ultra

Zen 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.

Parameters: 284B (37B active)Architecture: Zen Flash MoE

1M context window

284B total / 37B active (MoE)

Zen Flash base

IQ2_XXS-imatrix quant (81 GB)

Runs on 128 GB hardware

Start Using zen5-pro

Input$1.305 / MTok

Output$2.61 / MTok

Cache WriteN/A

Cache Read$0.010875 / MTok

Router General

pro

Automatic model routing — hosted by Hanzo.

Architecture: router

Automatic model routing

Start Using router:general

InputN/A

OutputN/A

Cache WriteN/A

Cache ReadN/A

Router Knowledge Base Document

pro

Automatic model routing — hosted by Hanzo.

Architecture: router

Automatic model routing

Start Using router:knowledge-base-document

InputN/A

OutputN/A

Cache WriteN/A

Cache ReadN/A

Router Software Engineering

pro

Automatic model routing — hosted by Hanzo.

Architecture: router

Automatic model routing

Start Using router:software-engineering

InputN/A

OutputN/A

Cache WriteN/A

Cache ReadN/A

Router Software Engineering 01

pro

Automatic model routing — hosted by Hanzo.

Architecture: router

Automatic model routing

Start Using router:software-engineering-01

InputN/A

OutputN/A

Cache WriteN/A

Cache ReadN/A

Router Writing

pro

Automatic model routing — hosted by Hanzo.

Architecture: router

Automatic model routing

Start Using router:writing

InputN/A

OutputN/A

Cache WriteN/A

Cache ReadN/A

All Zen LLMs available via OpenAI-compatible API at api.hanzo.ai/v1/chat/completions

Embedding Models

High-quality text embeddings via /v1/embeddings

Zen Embedding

starter

Dense text embeddings for semantic search, retrieval, and clustering.

8K context

Embeddings

Start Using zen-embedding

Input$0.06 / MTok

Output$0.06 / MTok

Cache WriteN/A

Cache ReadFree

All Mini Lm L6 V2

pro

Text embeddings — hosted by Hanzo.

Architecture: embedding

Text embeddings

Start Using all-mini-lm-l6-v2

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

Bge M3

pro

Text embeddings — hosted by Hanzo.

Architecture: embedding

Text embeddings

Start Using bge-m3

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

E5 Large V2

pro

Text embeddings — hosted by Hanzo.

Architecture: embedding

Text embeddings

Start Using e5-large-v2

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

Gte Large En V1.5

pro

Text embeddings — hosted by Hanzo.

Architecture: embedding

Text embeddings

Start Using gte-large-en-v1.5

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

Multi Qa Mpnet Base Dot V1

pro

Text embeddings — hosted by Hanzo.

Architecture: embedding

Text embeddings

Start Using multi-qa-mpnet-base-dot-v1

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

Qwen3 Embedding 0.6b

pro

Text embeddings — hosted by Hanzo.

Architecture: embedding

Text embeddings

Start Using qwen3-embedding-0.6b

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

Reranker Models

Improve retrieval quality via /v1/rerank

Zen Rerank

starter

Cross-encoder reranker — scores (query, document) pairs to reorder retrieval results.

Reranking

Retrieval

Start Using zen-rerank

Price$0.03

Bge Reranker V2 M3

pro

Reranking — hosted by Hanzo.

Architecture: rerank

Reranking

Start Using bge-reranker-v2-m3

Input$0.02 / MTok

OutputFree

Cache WriteN/A

Cache ReadN/A

Image Generation

FLUX, Stable Diffusion, and more via /v1/images/generations

Zen Image

pro

Text-to-image generation.

Text → Image

Start Using zen-image

Price$0.24 / image

Openai Gpt Image 1

pro

Text-to-image — hosted by Hanzo.

Architecture: image

Text-to-image

Start Using openai-gpt-image-1

Price$0.04 / image

/v1/images/generations

Openai Gpt Image 1.5

pro

Text-to-image — hosted by Hanzo.

Architecture: image

Text-to-image

Start Using openai-gpt-image-1.5

Price$0.04 / image

/v1/images/generations

Openai Gpt Image 2

pro

Text-to-image — hosted by Hanzo.

Architecture: image

Text-to-image

Start Using openai-gpt-image-2

Price$0.04 / image

/v1/images/generations

Stable Diffusion 3.5 Large

pro

Text-to-image — hosted by Hanzo.

Architecture: image

Text-to-image

256 context window

Start Using stable-diffusion-3.5-large

Price$0.04 / image

/v1/images/generations

Audio & Speech

Speech-to-text, text-to-speech, and audio generation via /v1/audio/*

Zen Foley

pro

Text-to-sound-effects — generates Foley and ambient audio from a prompt.

Text → Sound FX

Start Using zen-foley

Price$0.15

Zen Music

pro

Text-to-music generation.

Text → Music

Start Using zen-music

Price$0.3

Zen Voice

pro

Text-to-speech — natural voice synthesis.

Text → Speech

Start Using zen-voice

Price$0.045

Qwen3 Tts Voicedesign

pro

Text-to-speech — hosted by Hanzo.

Architecture: speech

Text-to-speech

33k context window

Start Using qwen3-tts-voicedesign

Price$5

/v1/audio/speech

Video Generation

Text-to-video via /v1/videos/generations

Zen Video

pro max

Text-to-video — generates short clips from a prompt (async).

Text → Video

Async

Start Using zen-video

Price$1.8

Wan2 2 T2v A14b

pro

Text-to-video — hosted by Hanzo.

Architecture: video

Text-to-video

100 context window

Start Using wan2-2-t2v-a14b

Price$0.5

/v1/videos/generations

Customers can purchase prioritized API capacity with Priority Tier

Prompt caching pricing is for the standard 5-minute TTL. A longer one costs more.

Explore pricing for tools

Web Search

per query$0.005

Code Interpreter

per session minute$0.03

File Storage

per GB/month$0.2

Image Generation

per image$0.04

Speech-to-Text

per minute$0.006

Text-to-Speech

per 1M characters$15

*Does not include input and output tokens required to process requests

Featured Third-Party Models

Top models from leading AI providers — all accessible through one Hanzo API key

Anthropic: Claude Opus 4.6

Anthropic

Featured

1M context windowtext+image+file->text

Input$5 / MTok

Output$25 / MTok

Anthropic: Claude Sonnet 4.6

Anthropic

Featured

1M context windowtext+image+file->text

Input$3 / MTok

Output$15 / MTok

Anthropic: Claude Haiku 4.5

Anthropic

Featured

200k context windowtext+image+file->text

Input$1 / MTok

Output$5 / MTok

OpenAI: GPT-5

OpenAI

Featured

400k context windowtext+image+file->text

Input$1.25 / MTok

Output$10 / MTok

OpenAI: GPT-5 Mini

OpenAI

Featured

400k context windowtext+image+file->text

Input$0.25 / MTok

Output$2 / MTok

Google: Gemini 2.5 Pro

Google

Featured

1M context windowtext+image+file+audio+video->text

Input$1.25 / MTok

Output$10 / MTok

DeepSeek: R1

DeepSeek

Featured

164k context windowtext->text

Input$0.7 / MTok

Output$2.5 / MTok

DeepSeek: DeepSeek V3

DeepSeek

Featured

164k context windowtext->text

Input$0.257 / MTok

Output$1.03 / MTok

Meta: Llama 4 Maverick

Mistral: Mistral Large 3 2512

Mistral

Featured

262k context windowtext+image+file->text

Input$0.5 / MTok

Output$1.5 / MTok

Cohere: Command A

Cohere

Featured

256k context windowtext->text

Input$2.5 / MTok

Output$10 / MTok

All Third-Party Models

397 models from 57 providers — dynamically detected and priced

397 models

Model	Provider	Context	Input	Output
Anthropic: Claude Opus 4.6 Featured	Anthropic	1000K	$5 / MTok	$25 / MTok
Anthropic: Claude Sonnet 4.6 Featured	Anthropic	1000K	$3 / MTok	$15 / MTok
Anthropic: Claude Haiku 4.5 Featured	Anthropic	200K	$1 / MTok	$5 / MTok
OpenAI: GPT-5 Featured	OpenAI	400K	$1.25 / MTok	$10 / MTok
OpenAI: GPT-5 Mini Featured	OpenAI	400K	$0.25 / MTok	$2 / MTok
Google: Gemini 2.5 Pro Featured	Google	1049K	$1.25 / MTok	$10 / MTok
DeepSeek: R1 Featured	DeepSeek	164K	$0.7 / MTok	$2.5 / MTok
DeepSeek: DeepSeek V3 Featured	DeepSeek	164K	$0.257 / MTok	$1.03 / MTok
Meta: Llama 4 Maverick Featured	Meta	1049K	$0.2 / MTok	$0.8 / MTok
Mistral: Mistral Large 3 2512 Featured	Mistral	262K	$0.5 / MTok	$1.5 / MTok
Cohere: Command A Featured	Cohere	256K	$2.5 / MTok	$10 / MTok
Gemma SEA LION v4 27B IT Free	AI Singapore	N/A	Free	Free
Qwen SEA LION v4 32B IT Free	AI Singapore	N/A	Free	Free
AI21: Jamba Large 1.7	AI21	256K	$2 / MTok	$8 / MTok
AionLabs: Aion-2.0	Aion Labs	131K	$0.8 / MTok	$1.6 / MTok
AionLabs: Aion-3.0	Aion Labs	131K	$3 / MTok	$6 / MTok
AionLabs: Aion-3.0-Mini	Aion Labs	131K	$0.7 / MTok	$1.4 / MTok
AionLabs: Aion-RP 1.0 (8B)	Aion Labs	33K	$0.8 / MTok	$1.6 / MTok
AllenAI: Olmo 3 32B Think	Allen AI	66K	$0.15 / MTok	$0.5 / MTok
Olmo 3 7B Instruct Free	Allen AI	N/A	Free	Free
Amazon: Nova 2 Lite	Amazon	1000K	$0.3 / MTok	$2.5 / MTok
Amazon: Nova Lite 1.0	Amazon	300K	$0.06 / MTok	$0.24 / MTok
Amazon: Nova Micro 1.0	Amazon	128K	$0.035 / MTok	$0.14 / MTok
Amazon: Nova Premier 1.0	Amazon	1000K	$2.5 / MTok	$12.5 / MTok
Amazon: Nova Pro 1.0	Amazon	300K	$0.8 / MTok	$3.2 / MTok
Magnum v4 72B	Anthracite	16K	$3 / MTok	$5 / MTok
Anthropic Claude Haiku Latest	Anthropic	200K	$1 / MTok	$5 / MTok
Anthropic Claude Sonnet Latest	Anthropic	1000K	$2 / MTok	$10 / MTok
Anthropic: Claude 3 Haiku	Anthropic	200K	$0.25 / MTok	$1.25 / MTok
Anthropic: Claude Fable 5	Anthropic	1000K	$10 / MTok	$50 / MTok
Anthropic: Claude Fable Latest	Anthropic	1000K	$10 / MTok	$50 / MTok
Anthropic: Claude Opus 4	Anthropic	200K	$15 / MTok	$75 / MTok
Anthropic: Claude Opus 4.1	Anthropic	200K	$15 / MTok	$75 / MTok
Anthropic: Claude Opus 4.5	Anthropic	200K	$5 / MTok	$25 / MTok
Anthropic: Claude Opus 4.7	Anthropic	1000K	$5 / MTok	$25 / MTok
Anthropic: Claude Opus 4.7 (Fast)	Anthropic	1000K	$30 / MTok	$150 / MTok
Anthropic: Claude Opus 4.8	Anthropic	1000K	$5 / MTok	$25 / MTok
Anthropic: Claude Opus 4.8 (Fast)	Anthropic	1000K	$10 / MTok	$50 / MTok
Anthropic: Claude Opus Latest	Anthropic	1000K	$5 / MTok	$25 / MTok
Anthropic: Claude Sonnet 4	Anthropic	1000K	$3 / MTok	$15 / MTok
Anthropic: Claude Sonnet 4.5	Anthropic	1000K	$3 / MTok	$15 / MTok
Anthropic: Claude Sonnet 5	Anthropic	1000K	$2 / MTok	$10 / MTok
Claude Opus 5	Anthropic	1000K	$5 / MTok	$25 / MTok
Claude Opus 5 (Fast)	Anthropic	1000K	$10 / MTok	$50 / MTok
Arcee AI: Trinity Large Thinking	Arcee	262K	$0.22 / MTok	$0.85 / MTok
Arcee AI: Virtuoso Large	Arcee	131K	$0.75 / MTok	$1.2 / MTok
Baidu: ERNIE 4.5 VL 424B A47B	Baidu	123K	$0.42 / MTok	$1.25 / MTok
ERNIE 4.5 VL 424B A47B Base PT Free	Baidu	N/A	Free	Free
ByteDance Seed: Seed 1.6	ByteDance	262K	$0.25 / MTok	$2 / MTok
ByteDance Seed: Seed 1.6 Flash	ByteDance	262K	$0.075 / MTok	$0.3 / MTok

Third-party model pricing includes a passthrough markup. Prices update automatically every 6 hours. All models accessible via api.hanzo.ai/v1/chat/completions using the provider-prefixed model ID (e.g. anthropic/claude-sonnet-4.6).

Frequently Asked Questions

Measured, not modelled.

Every figure is corrected against vendor invoice brackets — list-price rate cards overstate real cost by up to 4.2x. The method, and the cost per completed task, are on the bench.