What is Holo3.1?
Holo3.1 is a family of four vision-language models, from 0.8B up to a 35B mixture-of-experts with 3B active parameters, fine-tuned from Qwen 3.5 to drive computer-use agents. The model looks at a screenshot and returns the next action or the click coordinates, on the web, the desktop or Android. It added native function calling and quantized checkpoints for local use.
H Company has since launched Holo4 and now tells developers to start there. Holo3.1 is still served on the Models API as the previous generation, and it is the only model on the free tier.
Is Holo3.1 still available now that Holo4 is out?
Yes. H Company still serves Holo3.1 on its Models API as the previous generation, and its Apache 2.0 weights stay on Hugging Face, but it recommends Holo4 for new work.
- Context
- Holo4 reads 262,144 tokens; Holo3.1 reads 65,536.
- Interfaces
- Holo4 also writes and runs its own code and calls MCP or API tools, not only clicks and types.
- Price
- Holo4-35B-A3B costs $0.30 / $2.00 per million tokens and needs a paid tier; Holo3.1 keeps the free tier.
- Sizes
- Holo4 comes in 27B and 35B-A3B only, so the 0.8B, 4B and 9B Holo3.1 models remain the small options.
Who is Holo3.1 best for?
Holo3.1 is best for developers who want to run computer-use agents on their own hardware or try one for free, including Android automation and small on-device models.
Private, local computer use
Quantized 35B-A3B checkpoints run on a Mac with 36 GB of unified memory or an NVIDIA DGX Spark, so screenshots stay on your network.
Trying computer use for free
Every H Platform account gets rate-limited free access to Holo3-1-35B-A3B, with no credit card.
Android app automation
The 35B-A3B model scores 79.3% on AndroidWorld in H Company's tests, up from 67.2% for Holo3.
Small on-device agents
The 0.8B, 4B and 9B models need 2.2 GB to 18.8 GB of memory at full precision, and Holo4 has no sizes this small.
What's included with Holo3.1?
Four open sizes, quantized checkpoints, native function calling, click grounding from screenshots, and zero data retention on the API.
- Four sizes
- 0.8B, 4B and 9B dense models plus the 35B-A3B mixture-of-experts, all under Apache 2.0 on Hugging Face.
- Quantized checkpoints
- The 35B-A3B model also ships in FP8, NVFP4 and Q4 GGUF; NVFP4 needs about a third of the memory of full precision.
- Native function calling
- It works through standard function-calling protocols as well as structured JSON output, so it fits third-party agent frameworks.
- Click grounding
- Send a screenshot and a description of a target, and it returns click coordinates you can use in any agent loop.
- Zero data retention
- The Models API does not store prompts or responses by default, only the request time, the model and token counts.
How does Holo3.1 work?
Pick a size
Use 35B-A3B for accuracy, 9B or 4B for a single GPU, or 0.8B for on-device work.
Start a server
Serve the Q4 GGUF with llama.cpp on a Mac, or the NVFP4 weights with vLLM on a DGX Spark.
Point your client at it
Use the same OpenAI-style client as the hosted API, with your local server as the base URL.
Run the agent
HoloDesktop CLI turns a plain-language task into desktop actions, using your local model or the Models API.
How much does Holo3.1 cost?
Holo3.1 is free: the weights are Apache 2.0, and the Models API serves Holo3-1-35B-A3B free at 10 requests a minute or at $0.25 / $1.80 per million input / output tokens on paid tiers.
- 0.8B, 4B, 9B and 35B-A3B sizes on Hugging Face
- 35B-A3B also in FP8, NVFP4 and Q4 GGUF
- Run with llama.cpp or vLLM on your own hardware
- Holo3-1-35B-A3B only
- No credit card required
- Holo4 models need a paid tier
- Cached input $0.025 per million tokens
- 65,536-token context
- Pay as you go, with higher rate limits
Prices are in US dollars. Adding credits moves an account from the free tier to paid, and unused credits can expire a year after purchase. The successor Holo4-35B-A3B costs $0.30 / $2.00 per million tokens with a 262,144-token context, on paid tiers only. 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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Holo3.1 pros and cons
It is free, open and runs locally, but Holo4 has replaced it with four times the context and wider tool use.
Pros
- Free to use: Apache 2.0 weights in four sizes, commercial use included, and a free hosted tier for the 35B-A3B model.
- Runs fully local: H Company measured up to 18.1 model requests a minute on a DGX Spark and 5.5 on a MacBook M4 Pro, with nothing leaving your network.
- Strong for its size in H Company's tests: 80.0% on OSWorld for the 35B-A3B model, against 62.1% for the far larger Qwen3.5-397B-A17B.
- Cheap when hosted: $0.25 / $1.80 per million tokens, a little below Holo4-35B-A3B's $0.30 / $2.00.
Cons
- Superseded by Holo4, which also writes code and calls MCP or API tools, and which H Company now recommends for new work.
- Its 65,536-token context is a quarter of Holo4's 262,144, which matters on long runs full of screenshots.
- A specialist: it is fine-tuned for computer use, and users on r/LocalLLaMA called it a niche model rather than a general assistant.
- The 35B-A3B model needs real hardware locally: the Q4 weights alone take 21.3 GB, and H Company suggests an M3 or newer Mac with at least 36 GB.
Is Holo3.1 open source?
Yes. Holo3.1's code is public under the Apache 2.0 licence, so you can run it on your own server.
What are the best Holo3.1 alternatives?
Holo3.1 is an open source alternative to Gemini Computer Use and GPT-5.4 mini & nano. DeepSeek V4.1 Flash, 1-bit Bonsai, Mellum2 and Rnj-1 do the same job and are open source too.
Gemini Computer UsePaidChoose it when you would rather call a hosted model than run one; the Gemini API has a free tier, and Gemini 3.5 Flash-Lite does computer use at $0.30 / $2.50 per million tokens.
GPT-5.4 mini & nanoPaidOpenAI's small GPT-5.4 models with a 400K context and computer use.
DeepSeek V4.1 FlashOpen SourceDeepSeek's small, efficient open model.
1-bit BonsaiOpen SourcePrismML's 1-bit language models in 8B, 4B and 1.7B sizes that run on phones and laptops.
Mellum2Open SourceJetBrains' open 12B mixture-of-experts model for fast routing, RAG and sub-agent steps in coding systems.
Rnj-1Open SourceEssential AI's open 8B model built for coding, agentic software tasks and math.
Questions about Holo3.1
What is Holo3.1?
Holo3.1 is H Company's family of open vision-language models for agents that operate web, desktop and Android apps, free to download under Apache 2.0 and now succeeded by Holo4.
Who is Holo3.1 for?
Holo3.1 is best for developers who want to run computer-use agents on their own hardware or try one for free, including Android automation and small on-device models.
Is Holo3.1 free?
Yes. Holo3.1's weights are free under the Apache 2.0 license on Hugging Face, in 0.8B, 4B, 9B and 35B-A3B sizes. H Company's Models API also gives every account rate-limited free access to Holo3-1-35B-A3B at 10 requests per minute, with no credit card.
How much does Holo3.1 cost?
Holo3.1's paid plans are Models API paid tier at $0.25 / $1.80 per million input / output tokens.
Is Holo3.1 open source?
Yes. Holo3.1's code is public under the Apache 2.0 licence, so you can run it on your own server.
What are the best Holo3.1 alternatives?
The closest alternatives on Recaply are Gemini Computer Use, GPT-5.4 mini & nano, DeepSeek V4.1 Flash, 1-bit Bonsai, Mellum2 and Rnj-1.
Where can I try Holo3.1?
On its official website, hcompany.ai.
Can I run Holo3.1 locally?
Yes. Serve the 35B-A3B model as a Q4 GGUF with llama.cpp on an M3 or newer Mac with at least 36 GB of memory, or as FP8 or NVFP4 with vLLM on NVIDIA hardware. The 9B and 4B models fit on a single GPU, and 0.8B suits on-device use.
Should I use Holo3.1 or Holo4?
For new paid work, Holo4: H Company recommends it, it reads four times as much context and it can also write code and call MCP or API tools. Holo3.1 still wins on the free tier, on the small 0.8B to 9B sizes, and on price, at $0.25 / $1.80 against $0.30 / $2.00.
Can I use Holo3.1 for commercial work?
Yes. All four Holo3.1 sizes are released under Apache 2.0, which allows commercial use. That differs from Holo4-27B and the older Holo3-122B-A10B, whose weights H Company licenses for research only.
Does H Company keep my screenshots?
Not by default. The Models API runs with zero data retention and logs only the request time, the model and token counts, and H Company says prompts and outputs are not shared with third parties. Running the weights yourself keeps everything on your own network.
Our verdict
Holo3.1 is still the easiest free way to try an open computer-use agent, but Holo4 is the better pick for new production work.
Its Apache 2.0 weights, small sizes and free API tier are unique in H Company's line-up, yet Holo4 brings four times the context plus code and tool use for a small price rise.
- Skip it for
- Paid production agents with long workflows, which should test Holo4 or a frontier model first.
- Check first
- Run a handful of your real tasks on the free tier before you build on it.
Holo4
GPT-6.1 Sol
GPT-5.4
Qwen3.5 Small
Gemma 4