Best AI model for customer support and chat
Support traffic is high volume and latency-sensitive, so the winners here are the models that are good enough, fast, and cheap per conversation.
- 1
Gemini 4 Argon · Google
Wins the popularity contest: first on Arena, mid-pack on the index, and priced like a workhorse.
Caveat: Google's public pricing page did not list Argon when read; the blended figure is Artificial Analysis' estimate.
- 2
Claude Sonnet 5.5 · Anthropic
The value pick of the table: second on the index at a fifth of the Opus price, and the fastest of the top five.
- 3
Claude Haiku 5.5 · Anthropic
Ten cents a million and, per the people using it, smarter than the other ten-cent model; mind the 100K cliff.
Caveat: Price jumps five-fold above 100K input tokens, which commenters call an absurdly low cutoff for agent runs.
- 4
Muse Spark 1.3 · Meta
The fastest thing in the table by a distance, and the one to beat on the stress benchmark nobody else talks about.
- 5
GPT-6 Luna · OpenAI
OpenAI's ten-cent model: the one every ChatGPT Free user now has, and the one Haiku users keep comparing themselves to.
- 6
Kimi K3 · Moonshot
The highest-placed open-licence model on Arena, and the one most teams have not tried yet.
Caveat: Price is Artificial Analysis' blended figure, not a vendor list price; context not verified from a primary source.
Head to head
Questions people ask
What is the best AI model for customer support and chat right now?
Gemini 4 Argon (Google) leads this list as of October 2026: Wins the popularity contest: first on Arena, mid-pack on the index, and priced like a workhorse.
What is the runner-up for customer support and chat?
Claude Sonnet 5.5 (Anthropic): The value pick of the table: second on the index at a fifth of the Opus price, and the fastest of the top five.
How is this list ranked?
By the Models at Work leaderboard score: Score is 0 to 100: 50% independent evals normalised within this table, 20% price-performance, 15% practitioner sentiment from Signals and community threads, 15% operational fit (context, speed, availability, open weights). Models within three points are a tie in practice. Vendor-published figures are labelled as such and never counted as independent.
Other jobs
Every figure links to its source on the model profile pages. Vendor figures are labelled as vendor figures and never counted as independent.