Agent builders
Use a model that can switch between a screen and structured tools when an app offers only partial API coverage.
Independent tool overview
H Company computer-use model family for GUI, code, MCP, and API workflows.
Visit the official Holo4 site ↗
Overview
Holo4 is a family of agentic vision-language models from H Company, not a finished task app. The company offers a 27B dense model and a 35B-A3B mixture-of-experts model. Both are designed to move among graphical interfaces, code execution, MCP tools, and APIs in one workflow across desktop, web, Android, and business systems.
H Company reports strong OSWorld and automation benchmark results, but those are vendor-measured or cross-source figures under named harnesses. Its own article notes a gap from stronger closed models on long OSWorld 2.0 workflows. Teams choosing Holo4 should evaluate task success, recovery, permission boundaries, and latency on their actual environment. API access and downloadable weights offer two deployment paths, with different infrastructure and licensing implications.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Use a model that can switch between a screen and structured tools when an app offers only partial API coverage.
Prototype repetitive desktop, web, or mobile workflows within a controlled test environment.
Evaluate downloadable weights where hosting control and the applicable license matter.
Capabilities
Holo4 can click and type, write and run code, and call MCP or API tools.
Choose the 27B dense model for the reported stronger long-task accuracy or 35B-A3B for a cheaper, faster profile.
The release describes desktop, web, Android, code sandbox, and business API tasks.
H Models API hosts both sizes; multiple weight formats are published on Hugging Face.
H Company lists a 256K-token context window for both models.
Process
Step 1
List exactly which screens and structured tools the agent will need to complete one business task.
Step 2
Give temporary accounts, least-privilege credentials, and a recoverable environment.
Step 3
Measure the same success criteria and cost on 27B and 35B-A3B.
Step 4
Log intermediate tool calls and screen steps, then add approvals for irreversible changes.
Cost
H Company publishes H Models API token rates: Holo4 27B at $0.40 input and $3.00 output per million tokens; Holo4 35B-A3B at $0.30 input and $2.00 output. Cached input is lower. Downloaded weights have separate hosting costs and license terms.
$0.40 input / $3 output per 1M tokens
Higher-accuracy flagship according to the vendor.
$0.30 input / $2 output per 1M tokens
Faster mixture-of-experts size.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Coding
Consider a browser-focused orchestration layer if web navigation is the primary task.
Explore Browser Use →Consumer
Consider a frontier hosted model for demanding cross-domain computer-use work.
Explore GPT-6 Astra →Agents
Consider a finished agent workspace rather than integrating a raw model.
Explore Manus →Questions
No. It is a model family exposed through H Models API and published weights for developers and operators.
H Company describes GUI clicks and typing, code execution, MCP, and ordinary APIs.
Weights are on Hugging Face, but license terms differ by model; the 35B-A3B release is described as Apache 2.0.
Use representative end-to-end tasks, success and recovery rates, action safety, latency, and total model or hosting cost.
Bottom line
Holo4 is a useful candidate for builders whose workflows cross screens and APIs. Its low published token prices are attractive, but benchmark claims and a complex action surface demand hands-on evaluation with isolated accounts before any production automation.
Visit Holo4 website ↗
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