>Cohere vs ElevenLabs
Cohere AI Company Profile & Rankings • ElevenLabs AI Company Profile & Rankings
AI Activity Comparison
Cohere
Cohere Inc. is a Canadian multinational technology company that develops large language models and artificial intelligence products for enterprise applications. The company specializes in serving regulated industries, including finance, healthcare, manufacturing, and energy, as well as the public sector. Founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, the company is headquartered in Toronto and San Francisco with several international offices. A notable initiative is Cohere Labs, a nonprofit research lab dedicated to open-source machine learning research. The company's platform is powered by infrastructure from Google Cloud, which utilizes its Tensor Processing Units (TPUs). Cohere is currently led by CEO Aidan Gomez and President and COO Martin Kon.
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.
Based on 8 events tracked for Cohere over the past 30 days (6 in the past 7 days), updated in near real-time.
Cohere versus ElevenLabs: Live 2026 Comparison
Based on real-time data, ElevenLabs outperforms Cohere across both activity (11 vs 6 events this week) and community sentiment (61% vs 53%). This comparison draws on 17 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: -1.1) compared to Cohere (7.1). Data refreshes every 5 minutes. Compare other AI companies →
Quick Answer
ElevenLabs is significantly better than Cohere on both activity (11 vs 6 events) and community sentiment (61% vs 53%), making it the stronger and more reliable choice for most users. ElevenLabs has more honest marketing (hype gap: -1.1 vs 7.1).
Head-to-Head Stats
| Metric | Cohere | ElevenLabs |
|---|---|---|
| Rank | #76 | #35 |
| Overall Score | 15.9 | 30.1 |
| 7-Day Events | 6 | 11 |
| 30-Day Events | 8 | 30 |
| Sentiment | 53% | 61% |
| Momentum 7d vs 30d velocity | +8% | 0% |
| Hype Score | 12.0 | 6.7 |
| Reality Score | 4.9 | 7.8 |
| Hype Gap | +7.1 | -1.1 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
Key Insights
Shipping Velocity
ElevenLabs logged 11 events this week vs Cohere's 6 — a 1.8x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 3.8x (30 vs 8), suggesting this pace is consistent.
Community Sentiment
ElevenLabs has 61% positive sentiment vs Cohere's 53%. The 8-point gap is modest, meaning both have comparable community trust.
Marketing Honesty
ElevenLabs's hype gap of -1.1 vs Cohere's 7.1 means ElevenLabs delivers on its promises — marketing claims closely match actual capabilities.
Market Position
ElevenLabs at #35 outranks Cohere at #76 among 2,800+ AI companies. The 41-rank gap reflects different market tiers and adoption levels.
Momentum Trend
Cohere is accelerating (8% velocity growth) while ElevenLabs is flat — a diverging trend worth watching.
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Compare API Pricing
Cohere offers LLM APIs. Compare model pricing across 1,500+ models from 23+ providers.
Compare LLM API Pricing →Why Compare Cohere vs ElevenLabs?
Leader vs Challenger
ElevenLabs (#35) has established market position, while Cohere (#76) is 41 ranks behind. This comparison shows the gap between market leaders and aspiring competitors.
Who Compares These Companies
Enterprise Buyers
Comparing market leader against emerging alternative to balance stability vs innovation.
"ElevenLabs for enterprise-grade reliability, Cohere for cutting-edge features."
Key Differences
- **Overall Performance**: 14.2-point score gap indicates ElevenLabs has stronger combined metrics across activity, sentiment, and execution.
Making Your Decision
Consider Cohere if you value:
Consider ElevenLabs if you value:
- • Proven market leadership (#35)
- • Higher development activity
- • Stronger community sentiment
- • Higher substance-to-hype ratio
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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