Ollama vs OpenAI for meeting summaries on Mac (2026)

The right LLM for meeting summaries depends on three knobs: where data is allowed to go, how much you're willing to spend per meeting, and how good the output needs to be. Cloud LLMs win on quality at a per-token cost. Local LLMs win on privacy and zero marginal cost. The difference between them in 2026 is smaller than the marketing suggests.

Quick recommendation

• Default: Ollama with `qwen2.5:7b-instruct` or `llama3.2:3b-instruct`.
• If quality matters more than privacy: OpenAI `gpt-4o-mini` with your own key.
• If you're under HIPAA / NDA / GDPR-strict / EU data residency: Ollama only.

Local (Ollama) - when it's the right pick

Ollama runs the model entirely on your Mac. The transcript is sent to localhost:11434, the model writes the summary, the result comes back. Nothing crosses the network. The two practical knobs are model size (which trades speed for quality) and quantization (4-bit vs 8-bit).

On an M3 Pro with 18GB of unified memory, a 7B-class instruction model produces a 5-bullet summary of a 30-minute transcript in 8-15 seconds. A 3B model does it in 3-6 seconds with output that is, for typical meeting content, indistinguishable from the 7B.

OpenAI - when it's the right pick

OpenAI `gpt-4o-mini` produces consistently sharper summaries with cleaner action items, especially on long or technical meetings. It's the right choice when quality matters more than data residency.

Cost in 2026: a 30-minute meeting transcribed produces ~6,000 input tokens. `gpt-4o-mini` charges roughly $0.15 / 1M input tokens. A summary call costs about a tenth of a cent. A power user processing 200 meetings a year pays under $5.

Real comparison: same transcript, both providers

Setup in Mac Note Taker

Ollama

# Install Ollama (if not already)
brew install ollama
ollama serve &

# Pull a model
ollama pull qwen2.5:7b-instruct

# In Mac Note Taker → Settings → AI Assistant
# Provider: Ollama (local)
# Base URL: http://localhost:11434/v1
# Model: qwen2.5:7b-instruct
# API key: leave blank

OpenAI

# In Mac Note Taker → Settings → AI Assistant
# Provider: OpenAI
# Base URL: https://api.openai.com/v1
# Model: gpt-4o-mini
# API key: sk-...

Hybrid setup that lots of people use

Ollama for sensitive meetings (legal, HR, customer NDA), OpenAI for everything else. Mac Note Taker remembers the last selection per meeting type. The toggle is one dropdown - same prompt, same JSON output schema, same speaker-rename + summary pipeline downstream.

Output quality: a real example

On the same transcript - a 28-minute product review with three engineers and a designer - both providers correctly identified the four speakers, the four open decisions, and the two action items. The OpenAI summary phrased decisions slightly tighter ("Ship behind a flag" vs "We agreed it should ship behind a flag"). The Ollama 7B output was longer but missed nothing.

Conclusion: for typical business meetings in 2026, local 7B is good enough that the privacy delta dominates the quality delta.

What to use when

• Customer call under NDA → Ollama.
• HR review → Ollama.
• Founder-to-founder strategy chat → Ollama.
• Internal eng standup → either; speed favors Ollama.
• Investor update prep, marketing copy review, anything where summary quality matters more than residency → OpenAI.