
Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing.
#1DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. VMock records 533,460 monthly visits with -23.4% growth and Contact for Pricing pricing.
AI-powered resume scoring, skill insights and interview feedback for data-driven career preparation
| Dimension / Metric | ||
|---|---|---|
| Official Domain | deepseek.com | vmock.com |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 372.76M (372,761,591) | 533.46K (533,460) |
| MoM Traffic Delta | +15.36M (+4.3%) |
| -163.04K (-23.4%) |
| Primary Market & Share | 🇨🇳 China (50.5%) | 🇺🇸 United States (65.2%) |
|---|
| Direct Visits / mo | 291.59M | 310.94K |
|---|
| User Rating | 4.8 | 4.1 |
|---|
| Supported Platforms | Website | Website |
|---|
High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
AI-powered resume scoring, skill insights and interview feedback for data-driven career preparation
Every resume is evaluated across more than 100 parameters covering language quality, structure, impact statements, competencies and presentation, then benchmarked to produce a target-specific score with prioritised fixes.
Machine learning and NLP detect hard and soft skills from your document and compare them with requirements for the roles and industries you are aiming at, so guidance stays role-relevant.
Uploaded practice interviews are analysed for verbal and non-verbal cues such as speech pacing, eye contact, facial expression and content delivery, producing structured feedback for improvement.
Dedicated tracks for candidates, corporates and universities let career centres and talent teams configure modules, monitor usage and integrate VMock into existing coaching workflows.

Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing.
#1
Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks.
#2Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models.

Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows.
SpecialistReal-time AI answer engine and research workspace combining live web citations with frontier reasoning models.

Free / Open-sourceProvides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup.

SpecialistThe AI coding agent for building ambitious software

SpecialistExcels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support.
Free / Open-sourceEnables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
Combines AI resume optimization with a powerful job tracker, though lacking VMock's institutional university focus.
Provides deep recruiter-style resume feedback and line-by-line annotations, but lacks dedicated mock video interview modules.

Specializes in ATS-optimized resume formatting and automated content rewrites, but offers fewer comprehensive interview coaching tools.
Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing.
Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks.
Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models.
Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows.
SpecialistReal-time AI answer engine and research workspace combining live web citations with frontier reasoning models.
Free / Open-sourceProvides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup.
SpecialistThe AI coding agent for building ambitious software
SpecialistExcels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support.
Free / Open-sourceEnables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
Combines AI resume optimization with a powerful job tracker, though lacking VMock's institutional university focus.
Provides deep recruiter-style resume feedback and line-by-line annotations, but lacks dedicated mock video interview modules.
Specializes in ATS-optimized resume formatting and automated content rewrites, but offers fewer comprehensive interview coaching tools.