Best For Intermediate · 4 min read

Best AI for meeting summaries

Q: Best AI for meeting summaries

For meeting summaries, use claude-3-5-sonnet-20241022 for its superior summarization accuracy and context retention. gpt-4o is a strong alternative with robust API support and fast response times.

Quick answer

For meeting summaries, use claude-3-5-sonnet-20241022 for its superior summarization accuracy and context retention. gpt-4o is a strong alternative with robust API support and fast response times.

RECOMMENDATION

Use claude-3-5-sonnet-20241022 for meeting summaries due to its leading accuracy and ability to handle long context windows effectively.

Use case	Best choice	Why	Runner-up
Short meeting summaries	`claude-3-5-sonnet-20241022`	Best at concise, accurate summaries with minimal loss of context	`gpt-4o`
Long meeting transcripts	`claude-3-5-sonnet-20241022`	Handles large context windows and complex dialogue well	`gemini-1.5-pro`
Integration with existing workflows	`gpt-4o`	Strong API ecosystem and SDK support for US developers	`claude-3-5-sonnet-20241022`
Cost-sensitive projects	`gpt-4o-mini`	Lower cost with reasonable summarization quality	`mistral-small-latest`
Multimodal meeting summaries (audio + text)	`gemini-1.5-flash`	Supports multimodal inputs for richer summaries	`gpt-4o`

Top picks explained

claude-3-5-sonnet-20241022 leads in meeting summary tasks due to its advanced understanding of dialogue nuances and ability to maintain context over long transcripts. gpt-4o offers excellent API support and speed, making it ideal for developers integrating summaries into apps. gemini-1.5-pro is notable for handling longer contexts and multimodal inputs, useful for complex meetings.

In practice

Here is a Python example using the Anthropic SDK with claude-3-5-sonnet-20241022 to generate a meeting summary from a transcript.

python

import os
import anthropic

client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])

transcript = """Today we discussed project timelines, budget adjustments, and next steps for the marketing campaign..."""

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=512,
    system="You are an expert meeting summarizer.",
    messages=[{"role": "user", "content": f"Summarize this meeting transcript concisely:\n{transcript}"}]
)

print(response.content[0].text)

output

Today’s meeting covered project timelines, budget adjustments, and next steps for the marketing campaign, focusing on key deliverables and deadlines.

Pricing and limits

Option	Free	Cost	Limits	Context window
`claude-3-5-sonnet-20241022`	Free trial available	Check pricing at Anthropic.com	Max 100k tokens per request	Up to 100k tokens
`gpt-4o`	Free trial available	$0.03 / 1K tokens (prompt+completion)	Max 32k tokens per request	Up to 32k tokens
`gemini-1.5-pro`	Free tier available	Check pricing at Google Cloud	Max 64k tokens per request	Up to 64k tokens
`gpt-4o-mini`	Free trial available	$0.01 / 1K tokens	Max 8k tokens per request	Up to 8k tokens

What to avoid

Avoid older or deprecated models like gpt-3.5-turbo or claude-2 as they lack the accuracy and context handling needed for quality meeting summaries. Also, steer clear of models with very small context windows (<8k tokens) for long meetings, as they truncate important details.

How to evaluate for your case

Test candidate models on your own meeting transcripts by measuring summary accuracy, completeness, and latency. Use a benchmark set of transcripts and compare outputs with human summaries. Automate evaluation with ROUGE or BERTScore metrics for objective comparison.

✅

Key Takeaways

claude-3-5-sonnet-20241022 is the top choice for accurate, context-rich meeting summaries.
gpt-4o offers excellent integration and speed for developers.
Avoid models with small context windows for long or complex meetings.
Evaluate models on your own transcripts using automated metrics for best fit.

Verified 2026-04 · claude-3-5-sonnet-20241022, gpt-4o, gemini-1.5-pro, gpt-4o-mini

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