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DeepSeek R1-0528
Hugging Face is an AI community building the future through open source and open science.
Researched with AIData refreshed 16 hours ago10 sourcesUpdated 3 times this year
Data refreshed 16 hours ago10 sources
AI modelDevelopment and Tools
Hugging Face is an AI community building the future through open source and open science.
Researched with AIData refreshed 16 hours ago10 sourcesUpdated 3 times this year
Data refreshed 16 hours ago10 sources
AI modelDevelopment and Tools
Starting price
From $0
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AI model
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See how DeepSeek R1-0528 compares
Mindber finds that Hugging Face occupies a unique and valuable position in the AI ecosystem, but its current trajectory warrants a cautious assessment.
- What is DeepSeek R1-0528?
- Hugging Face is an AI community building the future through open source and open science. It provides a platform where the machine learning community collaborates on models, datasets, and applications. Hugging Face offers tools for creating, discovering, and collaborating on ML projects, including hosting unlimited models, datasets, and applications. It also provides paid Compute and Enterprise solutions to accelerate ML development.
- Who is it for?
- ML researchers who need to fine-tune and experiment with a unified generation/editing model; better than proprietary APIs like DALL·E for full model access and reproducibility.
- Pricing
- free · View pricing
- Alternatives
- Gamma AI,Deepseek,Perchance AI
Product information
What this product does
DeepSeek R1-0528 is the latest version released by the well-known open-source large model platform DeepSeek, which has high-performance natural language processing and programming capabilities. Its release has attracted widespread attention due to its excellent performance in programming tasks, enabling it to accurately answer complex questions. The model supports various application scenarios and is an important tool for developers and AI researchers. It is expected that more detailed model information and user guides will be released subsequently to enhance its functionality and applicability Target Users: This product is suitable for programmers, AI researchers, and technical personnel who need to perform complex programming tasks. It can help them improve work efficiency, simplify the programming process, and support them in conducting high-level AI development and research. Use Cases: Developing a word scoring system, successfully generating and running the code.In programming challenges, R1 successfully completed complex tasks with performance similar to the OpenAI o3 model.Using R1 for mathematical proofs, demonstrating its application capabilities in the mathematical field. Features: Excellent programming capabilities, able to complete complex programming tasks.Has natural language processing capabilities, capable of understanding and generating natural language text.Supports consistent style code generation, producing structured and clear code.Has self-correction capabilities, enabling self-correction during the generation process.Enables creative construction, capable of proposing innovative solutions.Can handle large-scale data and complex logical problems.Supports multiple computational precisions, optimizing resource usage and training efficiency. How to Use: Visit DeepSeek's official website and find the R1-0528 model.Download or use the model according to the documentation, choosing a suitable runtime environment.Input relevant programming or natural language requests based on project requirements.Run the model and observe the output results, adjust parameters as needed.Test and iterate to optimize code and generated results.
Sourced from huggingface.co
Works With
Platforms
- Web
- iOS
AI Models
- Claude
- Gemini
- Llama
- Stable Diffusion
- Midjourney
Problem Solved
What problem does DeepSeek R1-0528 solve?
AI community platform for open-source ML models, datasets, and applications.
Company & Maker
Who built DeepSeek R1-0528?
- Company
- DeepSeek (huggingface.co)
- Product
- Hugging Face is an AI community building the future through open source and open science. It provides a platform where the machine learning community collaborates on models, datasets, and applications. Hugging Face offers tools for creating, discovering, and collaborating on ML projects, including hosting unlimited models, datasets, and applications. It also provides paid Compute and Enterprise solutions to accelerate ML development.
- HQ
- Hangzhou
- Founded
- 2023
- Team size
- 51-200
- Live since
- Jul 2016
- Founders
- Liang Wenfeng - Founder, CEO
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
Researched with AI · Data refreshed 16 hours ago · How we score
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OmniGen2 is an open-source multimodal AI model that performs text-to-image generation, instruction-guided image editing, and visual understanding. It is used by ML researchers, developers, and designers who need a customizable, self-hostable image generation and editing foundation.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Developing a word scoring system, successfully generating and running the code
- In programming challenges, R1 successfully completed complex tasks with performance similar to the OpenAI o3 model
- Using R1 for mathematical proofs, demonstrating its application capabilities in the mathematical field
- Generates photorealistic images from text prompts for research benchmarks and prototyping.
- Edits existing product photos via natural language instructions for e-commerce mockups.
- Combines text and image inputs to produce promotional visuals for educational materials.
Inferred from public dataView source →
2-4 hours for a developer familiar with Python and CUDADeveloper requiredSoloSmall teamMid-market
Pricing reality
Vendor stated
Open-source model weights and code are free; compute costs depend on your own infrastructure or third-party GPU providers.
Actual cost
Total cost of ownership includes GPU hardware or cloud compute (e.g., A100 rentals at ~$2-4/hr), plus engineering time for setup, fine-tuning, and maintenance.
Hidden costs
3 hidden cost warnings — unlock to view
Migration effort from 5 platforms analyzed
Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
From $0
Free tier available.
Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.
HF Hub
Free/mo
- Host unlimited public models, datasets, create unlimited orgs, access ML tools, community support.
Pro Account
$9/mo
- ZeroGPU and Dev Mode for Spaces, free credits across all Inference Providers, early access to features
- Pro badge.
Enterprise Hub
$20 per user per month/mo
- SSO and SAML support, select data location, audit logs, resource groups, centralized token control
- Dataset Viewer for private datasets, advanced compute options for Spaces
- 5x more ZeroGPU quota, deploy Inference on your own Infra, managed billing, priority support.
Inference Endpoints
Starting at $0.032
- Deploy dedicated Endpoints in seconds, keep your costs low, fully-managed autoscaling, enterprise security.
What pricing pages often hide
Auto-renewal is often on by default and refunds are narrow.
Beta, Linux, or recovery edge cases often ship without SLA coverage.
Team and business tiers usually move to sales-led quoting.
One-time or lifetime offers tend to disappear at version boundaries.
True cost for your case
LIVE ESTIMATEEstimated spend
$0Recurring billing is usually the real cost driver, not the first-month sticker price.
Compare this product in-line
Start with a suggested alternative or type another tool to jump into a side-by-side comparison.
RELATED PRODUCTS
Suggested from linked alternativesEngagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
Score locked
HOW THIS TOOL SCORES
Scores compare this tool with 49 similar tools in AI model. Use it to judge Innovation and Capability before you shortlist.
Updated Oct 13, 2026Baseline refreshed Jun 24, 2026
Innovation Index™
Is it new, different, and easy to understand?
Bottom 25%7.1/10
Is this idea actually new?7.0/10
Does it stand out from similar tools?6.0/10
Can buyers understand it quickly?8.0/10
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Top 10%7.3/10
Are the main features deep enough?7.0/10
Will it fit into your stack?6.0/10
Can users trust it to stay usable?7.3/10
Does it cover the core jobs?8.0/10
Low confidence (40%) - some sub-scores have thin evidence.What this means →
Category baseline: AI modelInnovation median: 7.7Capability median: 4.8n = 49
Data sources
Features detected: 13Engagement: stable (62/100)Homepage load: 0.0sBaseline source: live product websites
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
31.2M
Avg visit duration
00:04:57
Pages per visit
6.09
Bounce rate
42.25%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
traffic snapshot
Exact monthly traffic is paid-only. Public view keeps percent share only.
4Regions
United States
17.42%China
13.79%India
9.41%2 more regions unlock with the full market map.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
3Sources
Direct
42.91%Referrals
9.41%Email
0.74%Top keywords
Brand terms stay labeled separately from intent and comparison demand.
| Keyword | Segment | Traffic | CPC |
|---|---|---|---|
| hugging face | Intent / comparison | 927.62K | |
| huggingface | Brand term | 344.36K | |
| gemma 4 | Intent / comparison | 1.8M | |
| deepseek v4 | Brand term | 489.77K | |
| deepseek | Brand term | 15.1M |
Showing 5 linked keywords - unlock CPC intelligence
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
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Member opinion — not a Mindber assessment
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About this data: Activity signals and intelligence cards are aggregated from public sources and reviewed by editors. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more