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Salesforce Koa and the New Multi Model AI Lineup

Salesforce Koa CRM reasoning model shown alongside Claude, Gemini, OpenAI, and Bedrock model options
📍 Part of our Dreamforce 2026 coverage — start with the full announcement recap

For two years every Salesforce roadmap meeting had the same awkward question. Which AI should we bet on? At Dreamforce 2026 Salesforce gave the most generous answer possible. Pick any of them, and now there is a brand new one built specifically for CRM. 🧠

MULTI MODEL AI / WHERE YOU MEET EACH ONE YOUR DATA Koa Reasoning inside Salesforce Claude Salesforce in Claude, beta Gemini Prompt Builder, Gemini Enterprise Amazon Bedrock Available to Agentforce now OpenAI Inside Agentforce and ChatGPT
Five models on the menu, one thing that decides how smart they look.

Meet Koa

Koa is the first Salesforce CRM reasoning model, built together with NVIDIA and trained on a synthetic dataset modeled on almost three decades of CRM deployments. Salesforce controls the weights and runs Koa inside its own infrastructure, so customer data stays within the trust boundary during inference, and no customer data was used for training. Koa is in pilot with select customers now, and general availability is expected in winter 2026 for US regions.

Everyone else is invited too

ModelWhere you will meet it in Salesforce
KoaCRM reasoning inside Salesforce infrastructure
ClaudeSalesforce in Claude, in beta on paid Claude plans, and powering Agentforce Vibes by default
GeminiPrompt Builder and the Agentforce reasoning engine, plus Salesforce inside Gemini Enterprise
Amazon Bedrock modelsAvailable to Agentforce customers now
OpenAI modelsInside Agentforce, with Agentforce also reachable from ChatGPT

So who actually wins

Your data does. When the model becomes a choice, picking the wrong one gets much cheaper, and the real value moves to what every model depends on. Clean records, sensible permissions and well documented business rules now decide how smart any of these models look inside your org.

Three questions for your next leadership meeting

1
Who in our company decides which model runs which workload?
2
Where is our data allowed to go, and which regions matter for our customers in the US and Europe?
3
How will we log and review what each model does inside Salesforce?

Answer them now and next year's model announcements turn into an easy upgrade instead of a long debate.

Salesforce just turned AI from a single bet into a full menu, and the companies with the cleanest data will order best.

Catch up on the rest of the series with the full announcement recap, or see AIforce and the permission cleanup it just made urgent.

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