>ElevenLabs vs MiniMax
ElevenLabs AI Company Profile & Rankings • MiniMax AI Company Profile & Rankings
AI Activity Comparison
ElevenLabs
ElevenLabs Inc. is a software company that develops natural-sounding speech synthesis and voice cloning software using artificial intelligence and deep learning. The company was co-founded in 2022 by former Google machine learning engineer Piotr Dąbkowski and former Palantir deployment strategist Mati Staniszewski. It raised a $2 million pre-seed funding round in January 2023, led by Credo Ventures and joined by Concept Ventures, and secured a $19 million Series A round at a $100 million valuation in June of the same year. The company publicly released its beta platform in early 2023. Its technology is focused on AI voice intelligence, and it is currently ranked among the top companies in the AI industry.
MiniMax
MiniMax is an artificial intelligence company based in Shanghai, China. Founded in December 2021 by former SenseTime computer vision experts, the company develops AI technologies and products. Its first product, Glow, is an application that allows users to create and interact with virtual characters; it garnered over 5 million users within four months of its October 2022 launch. In March 2024, the company raised $600 million in a financing round led by Alibaba Group, achieving a valuation of $2.5 billion. Other investors include Hillhouse Investment, HongShan, IDG Capital, and Tencent. MiniMax is frequently cited by investors as one of China's leading 'AI Tiger' companies.
Based on 30 events tracked for ElevenLabs over the past 30 days (11 in the past 7 days), updated in near real-time.
ElevenLabs versus MiniMax: Live 2026 Comparison
MiniMax leads in development velocity with 15 events this week (1.4x more than ElevenLabs), while ElevenLabs holds the edge in community sentiment at 61% positive. This comparison draws on 26 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows ElevenLabs has more authentic positioning (gap: -1.3) compared to MiniMax (3.5). Data refreshes every 5 minutes. Compare other AI companies →
Quick Answer
MiniMax is 1.4x more active (15 vs 11 events), while ElevenLabs has better community sentiment (61% vs -3%). Choose MiniMax for cutting-edge features or ElevenLabs for reliability. ElevenLabs has more honest marketing (hype gap: -1.3 vs 3.5).
Head-to-Head Stats
| Metric | ElevenLabs | MiniMax |
|---|---|---|
| Rank | #36 | #28 |
| Overall Score | 32.7 | 42.9 |
| 7-Day Events | 11 | 15 |
| 30-Day Events | 30 | 28 |
| Sentiment | 61% | -3% |
| Momentum 7d vs 30d velocity | 0% | 0% |
| Hype Score | 6.8 | 8.0 |
| Reality Score | 8.1 | 4.5 |
| Hype Gap | -1.3 | +3.5 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
Key Insights
Shipping Velocity
MiniMax logged 15 events this week vs ElevenLabs's 11 — a 1.4x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 0.9x (28 vs 30), suggesting this gap is widening.
Community Sentiment
ElevenLabs has 61% positive sentiment vs MiniMax's -3%. That 64-point gap is significant — it signals stronger user satisfaction and fewer community complaints about ElevenLabs.
Marketing Honesty
ElevenLabs's hype gap of -1.3 vs MiniMax's 3.5 means ElevenLabs delivers on its promises — marketing claims closely match actual capabilities.
Market Position
MiniMax at #28 outranks ElevenLabs at #36 among 2,800+ AI companies. With 8 ranks between them, they compete for similar market segments.
Momentum Trend
Both companies show stable or declining momentum, suggesting a period of consolidation rather than rapid expansion.
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Why Compare ElevenLabs vs MiniMax?
Direct Competitors
MiniMax leads at #28 while ElevenLabs is closing in at #36. With 8 ranks separating them, they're competing for similar market segments and developer mindshare.
Who Compares These Companies
Tech Decision Makers
Evaluating which platform offers better ROI and developer experience for enterprise adoption.
"Choose MiniMax for proven scale, or ElevenLabs for potential agility advantage."
Developers & Builders
Choosing AI tools and platforms based on community sentiment, documentation quality, and ecosystem.
"Consider community feedback and integration ecosystem when making your choice."
Key Differences
- **Community Perception**: ElevenLabs has notably stronger positive sentiment (64% higher).
- **Overall Performance**: 10.2-point score gap indicates MiniMax has stronger combined metrics across activity, sentiment, and execution.
Making Your Decision
Consider ElevenLabs if you value:
- • Stronger community sentiment
- • Higher substance-to-hype ratio
Consider MiniMax if you value:
- • Proven market leadership (#28)
- • Higher development activity
How Company Comparisons Work
Our comparison system analyzes real-time data across multiple dimensions to give you an objective, data-driven view of how companies stack up.
Real-Time Data Aggregation
We pull live data from 200+ verified sources including GitHub commits, arXiv research papers, product launches, Reddit discussions, and tech news. Data refreshes every 5 minutes.
Apples-to-Apples Scoring
Companies operate at different scales, so we normalize all metrics for fair comparison. Events are scored with time decay (recent events count more) and source diversity multipliers.
5-Dimension Scoring
Each event is classified across 5 dimensions, then aggregated with time decay and source diversity weighting.
Visual Comparison
We present the data in multiple formats to help different decision-making styles:
- ✓Head-to-Head Table: Direct numeric comparison of all metrics
- ✓Radar Chart: Visual shape shows strengths and weaknesses
- ✓Key Insights: AI-generated narrative explaining what the numbers mean
- ✓Hype Detection: Marketing honesty comparison (over-promise vs over-deliver)
Always Current
Unlike static "best of" lists that get stale, our comparisons update every 5 minutes. When a company ships a major release or gets negative sentiment, you'll see it reflected immediately.
Why Trust These Comparisons?
100% algorithmic: No human bias, no pay-for-ranking, no editorial interference. The data speaks for itself.
Open methodology: You can see exactly how scores are calculated and what data sources we use.
Real-time validation: Every metric is verifiable through GitHub, arXiv, Reddit, and other public sources.
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