Best AI for customer service
As of 2026-07-18, OpenAI: GPT-5.6 Sol Pro is the strongest model for this task in our daily benchmark, where over 350 AI models are evaluated and the best are presented.
In customer service, speed is part of quality. A customer waiting ten seconds for a chat reply experiences the service as slow, however good the answer turns out to be.
For customer service we rank by response speed, measured as tokens per second in the daily benchmark. Ranked by speed, from today’s benchmark.
Today’s ranking
| Model | Provider | Score | Language | Speed | Input price/1M |
|---|---|---|---|---|---|
| OpenAI: GPT-5.6 Sol Pro | openai | 6.8/10 | 7.3/10 | 936 t/s | $5.00 |
| Google: Gemini 3.5 Flash | 7.2/10 | 8.0/10 | 419 t/s | $1.50 | |
| Meta: Llama 3.1 8B Instruct | meta-llama | 5.2/10 | 9.0/10 | 392 t/s | $0.05 |
| Google: Gemma 3 4B | 8.0/10 | 9.3/10 | 237 t/s | $0.05 | |
| Mistral: Mistral Small 3 | mistralai | 7.8/10 | 8.7/10 | 234 t/s | $0.05 |
| IBM: Granite 4.0 Micro | ibm-granite | 5.4/10 | 8.3/10 | 179 t/s | $0.02 |
| Meta: Llama 4 Maverick | meta-llama | 7.2/10 | 8.0/10 | 176 t/s | $0.20 |
| Cohere: Command R+ (08-2024) | cohere | 7.5/10 | 9.3/10 | 160 t/s | $2.50 |
Fast enough, but also good enough on the language
The fastest models are often the smallest, and small models are consistently weaker on Scandinavian languages. So read both columns in the table below: speed tells you whether the customer gets an answer immediately, the language score tells you whether the answer is sendable. A model that is lightning fast and writes stiff, English-flavoured Norwegian is useless in Norwegian customer service.
A human has to step in — and it must be clear when
Set the boundaries before putting AI into production: complaints, disputes, payment issues and anything involving personal data should route to a human. Customers should always be told they are talking to an AI, and always have an easy path to a person.
Frequently asked questions
Other tasks
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