Skip to main content

>Trace vs Z.ai

Trace AI Company Profile & RankingsZ.ai AI Company Profile & Rankings

AI Activity Comparison

Trace

Trace is a company that provides software solutions for data integration and management. Although not primarily an AI company, Trace's products facilitate data processing and analysis, which can be utilized in AI and tech applications. The company's software helps organizations streamline their data workflows.

Z.ai

Z.ai, is a Chinese artificial intelligence technology company. The firm, which was formerly known as Zhipu AI prior to a 2025 rebranding, was spun out from Tsinghua University after its founding in 2019. Its core business involves the development of large language models and AI systems; it is considered one of China's major 'AI Tiger' companies and a significant market player. The company has developed products including the Ying text-to-video model and the open-source GLM model series. It has secured substantial funding from investors such as Alibaba, Tencent, and a Saudi Arabian finance firm. As of January 2025, the company was added to the U.S. Department of Commerce's Entity List.

Data updated: • Live

Based on 14 events tracked for Trace over the past 30 days, updated in near real-time.

Trace versus Z.ai: Live 2026 Comparison

Z.ai leads in development velocity with 1 events this week (significantly more than Trace), while Trace holds the edge in community sentiment at 59% positive. This comparison draws on 1 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Data refreshes every 5 minutes. Compare other AI companies →

Trace vs Z.ai: Key Signals

Activity:Z.ai 1 events/wk vs Trace 0
Sentiment:Trace 59% vs Z.ai 50%
Rank gap:#59 vs #100 (41 positions apart)
Score:Trace 19 vs Z.ai 13

Data refreshes every 5 minutes. Compare other companies →

Trace vs Z.ai: Head-to-Head

Comparison of key metrics between Trace and Z.ai
MetricTraceZ.ai
Rank#59#100
Overall Score19.213.3
7-Day Events01
30-Day Events146
Sentiment59%50%
Momentum
7d vs 30d velocity
0%+215%

📊 Visual Comparison

Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.

Trace
Z.ai
Activity
0vs1
Sentiment
59vs50
Score
19vs13
Momentum
50vs50
Confidence
0vs0

Metric Definitions:

Activity: Weekly GitHub events (max 200 = 100)
Sentiment: Community sentiment (0-100)
Score: Overall ranking score
Momentum: Rank movement trend (50 = neutral)
Confidence: Data confidence level (0-100)

What Separates Trace from Z.ai

Who Ships Faster: Z.ai or Trace?

Z.ai logged 1 events this week vs Trace's 0 — a significant difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 0.4x (6 vs 14), suggesting this pace is consistent.

What Users Think of Trace vs Z.ai

Trace has 59% positive sentiment vs Z.ai's 50%. The 9-point gap is modest, meaning both have comparable community trust.

Where Trace and Z.ai Rank

Trace at #59 outranks Z.ai at #100 among 2,800+ AI companies. The 41-rank gap reflects different market tiers and adoption levels.

Trace vs Z.ai: Momentum Trend

Z.ai is accelerating (215% velocity growth) while Trace is flat — a diverging trend worth watching.

Latest Signals: Trace vs Z.ai

Latest tracked events for each company — product launches, research papers, community discussions, and more.

Trace(0 events this week)

  • TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction

    arXiv cs.AI Feed
  • Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability

    arXiv cs.AI Feed
  • How We Used Hindsight Memory to Build an AI That Knows Your Weaknesses

    Dev.to AI Tag
  • Built an AI Coding Mentor That Never Forgets Your Mistakes

    Dev.to AI Tag
  • TRACE ASI Launches Advanced Market Analysis Platform Powered by Artificial Intelligence - Yahoo Finance Singapore

    Google News - AI General
View all Trace signals →

Z.ai(1 events this week)

  • Bridging the gap between hybrid and sequence-only protein language models - Nature Methods

    Nature Machine Learning
  • z.ai debuts faster, cheaper GLM-5 Turbo model for agents and 'claws' - but it's not open-source

    VentureBeat AI
  • I built a visual drag-and-drop machine learning trainer (no code required). Free & open source.

    Reddit - r/deeplearning
  • Open-Weight Models Are Getting Serious: GLM 4.7 vs. MiniMax M2.1

    Hacker News Newest
  • New AI models are losing their edge almost immediately

    Fast Company Technology
View all Z.ai signals →

Analysis: Trace vs Z.ai

Trace (#59) leads Z.ai (#100) by 41 ranks, reflecting a meaningful difference in overall market position and activity.

Z.ai is gaining momentum (215% velocity increase) while Trace is holding steady, signaling potential change in this matchup.

Sentiment is closely matched — Trace edges out at 59% vs 50%, suggesting comparable community trust.

Watch for: Trace's latest signal ("TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge...") and Z.ai's ("Bridging the gap between hybrid and sequence-only protein la...") could shift this matchup.

Want More Details?

View full company profiles with event history and trend analysis

>

Why Compare Trace vs Z.ai?

Leader vs Challenger

Trace (#59) has established market position, while Z.ai (#100) is 41 ranks behind. This comparison shows the gap between market leaders and aspiring competitors.

Who Compares Trace and Z.ai

Enterprise Buyers

Comparing market leader against emerging alternative to balance stability vs innovation.

"Trace for enterprise-grade reliability, Z.ai for cutting-edge features."

Choosing Between Trace and Z.ai

Consider Trace if you value:

  • • Proven market leadership (#59)
  • • Stronger community sentiment

Consider Z.ai if you value:

  • • Higher development activity
  • • Higher substance-to-hype ratio

Create Your Own Comparison

Compare any two AI companies from our database of 100+ tracked companies. Get instant access to real-time metrics, activity data, and marketing honesty scores.