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Which AI model for agents and automation?

Agents and workflows that act on your tools: sorting emails, summarizing reviews, filing documents.

Your constraints
Many tasks

DeepSeek V4.1 Flash

DeepSeek · License: MIT · Capability index 155.0

€0.27 / €1.07 per million tokens (input / output)

On the Pareto line, capability score of 155 at a low price: an agent rereads a lot of text at each step.

Cost for 1 million tasks of about 8,000 tokens read and 1,200 written over several steps: €3,419.

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Internal data

Qwen3.8 27B

Alibaba · License: Apache 2.0 · Capability index 149.4

Free to use: only your hardware cost (a 24 GB GPU is enough with Q4 quantization).

Open weights under the Apache 2.0 license: plugged into a local n8n, no data goes to an external API.

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Complex tasks

Claude Opus 5.5

Anthropic · License: Proprietary · Capability index 167.3

€3.56 / €17.82 per million tokens (input / output)

The best capability score in the index: for agents that chain many steps, every error propagates.

Cost for 1 million tasks of about 8,000 tokens read and 1,200 written over several steps: €49,884.

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Why these choices

For an agent, a mistake at one step skews all the following ones: reliability matters more than for a single answer. Keep a human approval before any irreversible action (sending, deleting, paying).

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Data: Epoch AI index (CC BY 4.0), developers' official prices converted at the ECB rate, updated 2026-10-03 · AI model ranking: intelligence, benchmarks and price

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