Otter.ai combines live transcription with automated notes, summaries, action items, and collaborative editing. Its web and mobile apps, meeting-platform integrations, searchable transcripts, speaker identification, and slide capture make it a practical choice for teams that need accessible meeting records during and after a call.
Otter.ai was ranked by 19 out of 19 AI models consulted. It achieved a consensus rank of #3 with a 89% AI agreement score. The average position given by the AIs was #2.9.
Points = base position score × AI weight. Higher-weighted AIs contribute more points per position.
| AI Model | Rank Given | Weighted Points |
|---|---|---|
| Qwen3.5 397B(1.72x) | #1 | 17 pts |
| Solar Pro 3(1.67x) | #1 | 17 pts |
| Amazon Nova Premier(1.61x) | #1 | 16 pts |
| Seed 1.6 Flash(1.54x) | #2 | 12 pts |
| DeepSeek V4 Pro(1.73x) | #2 | 16 pts |
| Gemini 3.1 Pro(1.51x) | #2 | 14 pts |
| GPT-5(1.25x) | #3 | 10 pts |
| Perplexity Sonar Pro(1.23x) | #3 | 10 pts |
| Claude Sonnet 4.6(1.70x) | #3 | 14 pts |
| Grok 4.3(1.66x) | #3 | 13 pts |
| Gemini 3.5 Flash(1.49x) | #3 | 12 pts |
| Nemotron 3 Super(1.79x) | #4 | 13 pts |
| Qwen 3.7 Max(1.65x) | #4 | 12 pts |
| Mini Max M2.1(1.67x) | #4 | 10 pts |
| GLM 4.7(1.59x) | #4 | 10 pts |
| Claude Opus 4.5(1.70x) | #4 | 12 pts |
| Mistral Large(1.67x) | #4 | 11 pts |
| Llama 4 Maverick(1.60x) | #4 | 10 pts |
| Kimi K2.5(1.62x) | #4 | 12 pts |