182 models ranked for meeting notes and summaries. Scored with bonuses for large context (long transcripts), reasoning (key point extraction), JSON mode (structured output), streaming, large output, and free access.
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7Anthropic | 95 |
| 2 | GPT-5.5OpenAI | 93 |
| 3 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 4 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 5 | GPT-5.4 ProOpenAI | 92 |
| 6 | GPT-5.4OpenAI | 92 |
| 7 | GPT-5.5 ProOpenAI | 91 |
| 8 | GPT-5.2 ProOpenAI | 91 |
| 9 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 10 | Claude Opus 4.6Anthropic | 90 |
| 11 | GPT-5.2-CodexOpenAI | 90 |
| 12 | GPT-5.2OpenAI | 90 |
| 13 | GPT-5.3-CodexOpenAI | 89 |
| 14 | GPT-5 ProOpenAI | 89 |
| 15 | Gemini 3 Flash PreviewGoogle | 88 |
| 16 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 17 | GPT-5 CodexOpenAI | 88 |
| 18 | GPT-5OpenAI | 88 |
| 19 | GPT-5.1OpenAI | 87 |
| 20 | GPT-5.1-CodexOpenAI | 87 |
| 21 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 22 | DeepSeek V4 ProDeepSeek | 87 |
| 23 | o3 Deep ResearchOpenAI | 87 |
| 24 | o3 ProOpenAI | 87 |
| 25 | o3OpenAI | 87 |
| 26 | Grok 4.20xAI | 89 |
| 27 | Claude Sonnet 4.6Anthropic | 85 |
| 28 | Claude Opus 4.5Anthropic | 85 |
| 29 | Grok 4xAI | 88 |
| 30 | Grok 4.20 Multi-AgentxAI | 88 |
Condense hour-long meeting transcripts into concise summaries. Large context models process full transcripts without losing critical details.
Automatically identify tasks, deadlines, and owners from meeting discussions. JSON mode produces structured action items for project management tools.
Generate formal meeting minutes with attendees, decisions, and next steps. Reasoning models distinguish between discussion and decisions.
Draft follow-up emails based on meeting outcomes. Streaming enables real-time drafting for immediate post-meeting distribution.
Yes, models with large context windows process entire meeting transcripts and produce structured summaries with key decisions, action items, and follow-ups. Reasoning identifies the most important points from lengthy discussions. JSON mode outputs structured data for project management tools.
Function calling connects with Zoom, Teams, Google Meet, and Notion APIs. Models process transcript files and output to your preferred format (Confluence, Notion, Slack). They can auto-generate Jira tickets from identified action items.
When provided with labeled transcripts, models accurately attribute statements and decisions to specific participants. They extract commitments ("I will do X by Friday"), tag owners, and generate per-person action item lists with deadlines.
Models with 128K-1M context windows process 1-4 hour meetings in full. For longer meetings or multi-session projects, summarize in chunks and provide the condensed context. Models ranking highest here offer the best balance of context capacity and summary quality.