Grok 4.1 vs PHBench: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Grok 4.1 and PHBench — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Grok 4.1
xAI
A conversational frontier model by xAI offering improved emotional intelligence, real-time search, image generation, and creative reasoning.
Key features
- Emotional Intelligence: Enhanced empathy and interpersonal skills for more emotionally aware and context-sensitive responses, validated by a high EQ-Bench score.
- Multi‑Platform Availability: Accessible on grok.com, X, and native iOS and Android apps, enabling consistent conversational experiences across devices.
- Auto Mode Deployment: Rolling out with an Auto mode that adapts model behavior for general use, simplifying user interaction without manual mode switching.
- Real‑Time Search Integration: Incorporates live search and trend analysis to provide up-to-date answers and context-aware summaries tied to current events.
- Image Generation: Built-in capability to generate images from prompts, enabling creative visual outputs alongside text-based conversation.
- Creative Task Improvement: Improved handling of creative tasks (writing, brainstorming, ideation) with stronger narrative and stylistic control.
- Real‑World Reasoning: Better commonsense and situational reasoning for practical, grounded answers in everyday and professional contexts.
- Advanced conversational intelligence optimized for natural, context-aware dialogue
- Improved emotional understanding and interpersonal skills (high EQ-Bench score: 1586)
- Real-time search integration for current information and trend analysis
- Image generation capabilities
- Available across web (grok.com), X, iOS, and Android
- Auto mode rollout for managed behavior/configuration
- Optimized for creative tasks and improved handling of creative prompts
Best for
- Content Creation: Generate creative copy, story drafts, social posts, and companion images with improved creative reasoning and stylistic control.
- Social Media Trend Analysis: Monitor and summarize real-time X trends and provide actionable insights for social teams and marketers.
- Customer & Community Engagement: Serve as an empathetic conversational assistant for user interactions on X and web/mobile apps, improving tone and rapport.
- Research and Fact Summarization: Use integrated real-time search to compile up-to-date summaries and syntheses of current events and topical information.
- Visual Asset Generation: Produce on-demand images for marketing, concept exploration, or illustrative content directly from conversational prompts.
- Interactive conversational assistant for general-purpose Q&A and dialogue
- Creative content generation including text and images
- Customer-facing chat and empathetic support interactions
- Real-time trend monitoring and analysis
- Personal coaching or interpersonal skill simulations leveraging emotional intelligence
PHBench
Vela Partners
A benchmark dataset and evaluation suite mapping Product Hunt launches to Series A outcomes for predictive modeling of startup funding.
Key features
- Large-Scale Mapping: Links 67,292 featured Product Hunt posts to 528 verified Series A outcomes within an 18-month horizon, enabling longitudinal outcome prediction.
- Engineered Signal Set: Provides 61 engineered features per post including engagement signals (votes, comments, reviews), rank signals (daily/weekly/monthly), maker features (maker count, followers), temporal features, topic flags, and interaction terms to support rich modeling.
- Structured Splits and Imbalanced Labels: Published train/validation/test splits (Train: 47,071; Val: 6,753; Test: 13,468) with measured positive rates (~0.76–0.79%), plus withheld test labels for blind benchmark evaluation.
- Evaluation & Submission Workflow: Test labels are withheld and researchers submit predictions (email to benchmark@vela.partners) for centralized scoring to enable fair comparison between models.
- Open License & Citation: Distributed under CC BY 4.0 (per Hugging Face dataset page) with a required citation (Ihlamur et al., PHBench arXiv 2026) for academic and research use.
- Supporting Code & Graph Tools: Associated code and GNN/graph-analysis workflows are available (Weave project on GitHub) to build graph representations and run node-classification experiments; dataset access may require contacting Vela Partners due to access conditions.
- Mapped dataset of 67,292 Product Hunt featured posts linked to 528 verified Series A outcomes (18-month horizon, 2019–2025).