What is Holo4?
Holo4 is H Company's new pair of agent models: a 27B dense model built on Qwen3.8-27B, and a 35B mixture of experts with 3B active parameters built on Qwen3.6-35B-A3B. Given screenshots and tool results, it picks the next step and can click and type on a screen, write and run its own code, or call MCP and API tools, whichever fits, on desktop, web, Android or in a code sandbox.
It replaces Holo3.1, which was trained to drive screens and read a quarter of the context. Both sizes run on H's Models API on paid tiers, and the weights are on Hugging Face: 35B-A3B under Apache 2.0, 27B for non-commercial use only.
What changed from Holo3.1?
Holo4 goes beyond the screen: it also writes code and calls MCP or API tools, and it reads four times as much context.
- Interfaces
- Clicks and typing plus its own code and MCP or API tool calls, chosen per task.
- Context
- 262,144 tokens, up from 65,536.
- Sizes
- 27B dense and 35B-A3B only; the 0.8B, 4B and 9B sizes stay with Holo3.1.
- Price and access
- 35B-A3B costs $0.30 / $2.00 per million tokens against $0.25 / $1.80, and needs a paid tier; Holo3.1 keeps the free tier.
Who is Holo4 best for?
Holo4 is best for teams running computer-use agents at scale, workflows that mix screens with APIs, self-hosted agents that keep screenshots private, and research on long computer tasks.
Computer-use agents at scale
Holo4 35B-A3B scores 80.8% on OSWorld at about $0.05 a task in H Company's tests, and H makes it the default for production work.
Workflows that mix screens and APIs
One model can click through an app that has no API, then switch to code or an MCP tool where one exists, without a second model.
Private, self-hosted agents
The Apache 2.0 35B-A3B weights come in BF16, FP8, NVFP4 and Q4 GGUF for vLLM or llama.cpp, so screenshots stay on your network.
Research on long computer tasks
The 27B weights are free for non-commercial research, and H publishes every run behind its public benchmark scores to replay step by step.
What's included with Holo4?
Two sizes, one model for clicks, code and tool calls, four weight formats, click grounding and OCR, an OpenAI-compatible API, zero data retention and published trajectories.
- Two sizes
- 27B dense for the hardest multi-step tasks, and 35B-A3B, cheaper and faster, as H's default for production.
- Clicks, code and tool calls
- It works through the screen, its own code, or MCP and API tools, and is called the same way on every platform.
- Four weight formats
- Both sizes ship in BF16, FP8, NVFP4 and Q4 GGUF, served with vLLM or llama.cpp.
- Click grounding and OCR
- The Models API returns click coordinates for a described target and turns a rendered page into Markdown.
- OpenAI-compatible API
- Point the standard OpenAI client at H's endpoint or at your own server, and switch models by changing the ID.
- Zero data retention
- The Models API does not store prompts or responses by default, only request time, model and token counts.
- Published trajectories
- Every run behind H's public benchmark scores can be replayed step by step or downloaded.
How much does Holo4 cost?
Holo4 35B-A3B costs $0.30 per million input tokens and $2.00 per million output tokens on H's Models API, Holo4 27B costs $0.40 / $3.00, and the weights are free to download.
- 35B-A3B under Apache 2.0, commercial use allowed
- 27B under CC BY-NC 4.0, non-commercial only
- BF16, FP8, NVFP4 and Q4 GGUF for both sizes
- Cached input $0.03 per million tokens
- 262,144-token context
- Paid tier only
- Cached input $0.04 per million tokens
- 262,144-token context
- Paid tier only
Prices are in US dollars. Holo4 is not on the Models API free tier, which covers only Holo3.1 35B-A3B at 10 requests a minute; adding credits moves an account to a paid tier, and unused credits can expire a year after purchase. H Company's Agents API, which runs hosted agent sessions, has separate plans from $0 to $200 a month, plus Enterprise. Full pricing on hcompany.ai. We checked these prices on .
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Holo4 pros and cons
It is cheap per task and the 35B-A3B is fully open, but long workflows still trail frontier models and the 27B weights are non-commercial.
Pros
- Cheap per task in H Company's tests: Holo4 27B reaches 85.2% on OSWorld for about $0.08 a task, against $0.22 for its Qwen3.8 27B base at 84.3%.
- The 35B-A3B weights are Apache 2.0, so you can run it on your own hardware and use it commercially.
- One model covers screens, code and MCP or API tools, so a single agent can finish work that mixes apps with and without APIs.
- H publishes every trajectory behind its public scores, so you can replay each step before trusting a number.
Cons
- Long workflows still trail the frontier: on OSWorld 2.0, H's own table puts Holo4 27B at 61.7% and 35B-A3B at 30.9%, against 81.8% for Claude Opus 5.5.
- The stronger 27B model is CC BY-NC 4.0, so commercial self-hosting means the smaller 35B-A3B, which scores 30.9% on OSWorld 2.0 against 61.7%.
- No free API tier: Holo4 needs paid credits, and only Holo3.1 is on H's free tier.
- Every score so far is H's own, run in its own harness, and launch-day comments on r/LocalLLaMA doubt the gains will hold up outside benchmarks.
What are the best Holo4 alternatives?
Two tools on Recaply do Holo4's job. Qwen3.8-27B is open source, so you can run it on your own server.
Qwen3.8-27BOpen SourceChoose it when you need a 27B model you can self-host commercially: it is Apache 2.0, scores 84.3% on OSWorld-Verified in Qwen's tests, and also reads video.
Claude Opus 5.5PaidChoose it when long desktop workflows must succeed and cost is secondary: H's own table puts it at 81.8% on OSWorld 2.0 against 61.7% for Holo4 27B, at $4 / $20 per million tokens.
Questions about Holo4
What is Holo4?
Holo4 is H Company's pair of open computer-use models, a 27B dense and a 35B-A3B mixture of experts, that click through apps, write and run code, and call MCP or API tools.
Who is Holo4 for?
Holo4 is best for teams running computer-use agents at scale, workflows that mix screens with APIs, self-hosted agents that keep screenshots private, and research on long computer tasks.
Is Holo4 free?
The weights are free to download on Hugging Face, and Holo4 35B-A3B is Apache 2.0. Hosted Holo4 is not free: H's Models API serves it only on paid tiers, from $0.30 per million input tokens, and keeps its free tier for Holo3.1.
How much does Holo4 cost?
Holo4's paid plans are Holo4 35B-A3B on the Models API at $0.30 / $2.00 per million input / output tokens and Holo4 27B on the Models API at $0.40 / $3.00 per million input / output tokens.
Is there an open source alternative to Holo4?
Yes. Qwen3.8-27B is an open source tool that does the same job, so you can run your own.
What are the best Holo4 alternatives?
The closest alternatives on Recaply are Qwen3.8-27B and Claude Opus 5.5.
Where can I try Holo4?
On its official website, hcompany.ai.
Can I use Holo4 for commercial work?
Holo4 35B-A3B, yes: its weights are released under Apache 2.0. Holo4 27B's weights are under CC BY-NC 4.0, which rules out commercial use of those weights. H Company also serves both sizes on its paid Models API.
Which Holo4 model should I use?
Start with Holo4 35B-A3B: H Company makes it the default for production computer use, at $0.30 / $2.00 per million tokens and 80.8% on OSWorld. Move to Holo4 27B for complex multi-step tasks, where it scores 61.7% on OSWorld 2.0 against 30.9%.
Can I run Holo4 locally?
Yes. Both sizes ship in BF16, FP8 and NVFP4 for vLLM, with NVFP4 on NVIDIA Blackwell hardware, and as Q4 GGUF for llama.cpp. You point the same OpenAI-style client at your local server, so screenshots and prompts stay on your network.
Does H Company keep my screenshots?
Not by default. The Models API runs with zero data retention and logs only request time, model and token counts, and H says it does not share prompts or outputs with third parties. Self-hosting the weights keeps everything on your own machines.
Our verdict
Holo4 35B-A3B is a cheap, fully open base for commercial computer-use agents, and 27B is the stronger model for research.
In H Company's tests it matches far larger models on OSWorld for a few cents a task, and one model handles screens, code and tools; the catch is a clear gap to Claude Opus 5.5 on long workflows.
- Skip it for
- Long, high-stakes desktop workflows that must succeed, and commercial self-hosting of the 27B model.
- Check first
- Run your own tasks on 35B-A3B through the API before you commit, since every published score is H's own.
Holo3.1
GPT-6.1 Sol
GPT-5.4 mini & nano
GLM-4.6V
LFM 2.5