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AI for Meeting Notes

241 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.

How we rank: composite score (benchmark scores 90%, capabilities 5%, context window 5%) adjusted with use-case-specific capability bonuses.
241
Total Ranked
236
128K+ Context
241
Reasoning
214
JSON Mode

Meeting AI - Ranked by Meeting Notes Score

#ModelScore
1Claude Fable 5Anthropic97
2Claude Fable 5 (batch)Anthropic97
3Claude Opus 5 (Fast)Anthropic95
4Claude Opus 5Anthropic95
5Claude Opus 4.8 (Fast)Anthropic95
6Claude Opus 4.8Anthropic95
7Claude Opus 4.7 (Fast)Anthropic95
8Claude Opus 4.7Anthropic95
9Claude Opus 4.7 (batch)Anthropic95
10Claude Opus 4.8 (batch)Anthropic95
11GPT-5.5 ProOpenAI93
12GPT-5.5 Pro (batch)OpenAI93
13GPT-5.5OpenAI93
14GPT-5.5 (batch)OpenAI93
15Gemini 3.1 Pro Preview Custom ToolsGoogle92
16Gemini 3.1 Pro PreviewGoogle92
17Gemini 3.1 Pro Preview (batch)Google92
18GPT-5.4 ProOpenAI92
19GPT-5.4 Pro (batch)OpenAI92
20GPT-5.4OpenAI92
21GPT-5.4 (batch)OpenAI92
22GPT-5.3-CodexOpenAI91
23GPT-5.2-CodexOpenAI91
24GPT-5.2 ProOpenAI91
25GPT-5.2 Pro (batch)OpenAI91
26GPT-5.2OpenAI91
27GPT-5.2 (batch)OpenAI91
28Claude Opus 4.6Anthropic90
29Claude Opus 4.6 (batch)Anthropic90
30GPT-5.6 Luna ProOpenAI89

AI-Powered Meeting Notes

Transcript Summarization

Condense hour-long meeting transcripts into concise summaries. Large context models process full transcripts without losing critical details.

Action Item Extraction

Automatically identify tasks, deadlines, and owners from meeting discussions. JSON mode produces structured action items for project management tools.

Meeting Minutes

Generate formal meeting minutes with attendees, decisions, and next steps. Reasoning models distinguish between discussion and decisions.

Follow-Up Emails

Draft follow-up emails based on meeting outcomes. Streaming enables real-time drafting for immediate post-meeting distribution.

Frequently Asked Questions

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.

AI for Meeting Notes (2026) | LM Market Cap