Why would I want to switch between models mid-thread?

Different models excel at different sub-tasks: Claude is strong at compliance reasoning and long-document synthesis, GPT-5 is fast for tool calling, Gemini wins on multi-modal and long context, Mistral keeps EU-only data flow. With ChatGPT Enterprise you commit to one provider per session; with AgentWorks you switch per turn so each step uses the right model.

Is ChatGPT Enterprise EU AI Act compliant?

OpenAI publishes GPAI provider documentation and offers EU data residency, but ChatGPT Enterprise does not ship EU AI Act tooling for deployers (per-agent risk classification, Article 12 audit logs, Article 14 oversight workflows). Deployers have to build those layers themselves.

How does pricing compare in practice?

ChatGPT Enterprise is priced per seat in USD with a negotiated seat minimum, and the cost of an individual message is not visible to you. AgentWorks bills per token from one wallet across every model, so you pay for what is actually run and can attribute the cost to a specific task. Which is cheaper depends entirely on how heavily your seats are used — a team where everyone works in AI all day may land in the same range, while a team with a handful of daily users usually pays less. Model one month of your own volume against our published per-model rates rather than trusting a headline percentage.

Can ChatGPT Enterprise Custom GPTs replace AgentWorks agents?

Custom GPTs are single-agent personal automations with no multi-agent orchestration, no per-agent EU AI Act classification, and no governance review workflow. They work well as user-facing helpers; AgentWorks targets governed, audited, multi-step team workflows.

Does AgentWorks use OpenAI models?

Yes — GPT-5 and GPT-5 mini are first-class options alongside Anthropic, Google, and Mistral. The difference is you pick the model per agent and per turn, with an optional PII-detection layer available so OpenAI can receive a masked payload when it is enabled.

When will AgentWorks have SOC 2 / ISO 27001?

Both are being pursued as we scale into larger enterprise deployments. We run on EU infrastructure with documented controls; the certifications close the procurement-checklist gap that some enterprise buyers still flag.

Head-to-head

AgentWorks vs ChatGPT Enterprise

EU AI Act readiness, multi-LLM choice, and transparent euro pricing — compared on the points that actually move a buying decision.

Last verified: May 26, 2026

TL;DR

ChatGPT Enterprise is OpenAI's workplace tier — generous context, admin controls, and SOC 2 — but locks you into the OpenAI model family with seat-based pricing. AgentWorks lets European teams switch GPT, Claude, Gemini, and Mistral per turn, with EU AI Act risk classification, GDPR-by-design data handling, and per-token € pricing on the same wallet.

Feature-by-feature comparison

Feature	AgentWorks	ChatGPT Enterprise
Models available	OpenAI + Anthropic + Google + Mistral	OpenAI family only (GPT-5, GPT-5-mini, o-series)
Switch model mid-thread	Yes, per turn, same wallet	No — single OpenAI model per session
Pricing model	Per-token €, transparent live wallet	Per-seat USD subscription, negotiated; no public rate card
Pre-built agent templates	50+ across marketing, sales, HR, finance, support, ops	GPTs marketplace (user-generated, no governance)
Multi-agent pipelines	Native (research → draft → review → publish)	Not natively — Custom GPTs are single-agent
EU AI Act risk classification	Per-agent classification + audit logging	No EU AI Act tooling shipped
GDPR data residency	EU regions (managed cloud); no self-host tier	EU residency available; processing happens on OpenAI infrastructure
PII detection before model (optional)	Optional native gateway-layer detection	No — relies on enterprise DLP integrations
Tool / function calling	Native + MCP-compatible	Function calling supported; no MCP
Workspace admin controls	RBAC, SSO, budgets, audit log, team-scoped agents	SSO, SCIM, admin console, audit log
Knowledge base / RAG	Native KB with chunking + access control	File uploads per chat; persistent KB needs Custom GPTs
Context window	Up to model max (1M with Gemini, 200K with Claude, 128K with GPT-5)	Up to GPT-5 max (128K)
Compliance certs	In progress (ISO 27001, SOC 2 on roadmap)	SOC 2 Type II, ISO 27001
Currently available	Available — self-serve free account + paid tiers	GA since 2023

When ChatGPT Enterprise is the right choice

Pick ChatGPT Enterprise if the use case is heavy individual productivity (write, summarise, code) and you can live with single-vendor lock-in.

You want a generally-available product today with established SOC 2 / ISO 27001 paperwork.
OpenAI models are clearly the best fit for your workload (code generation, image generation via OpenAI image, voice via Whisper).
You do not need per-agent EU AI Act risk classification or audit logging — your AI use is low/limited risk.
Per-seat pricing maps cleanly to your team headcount and spend predictability matters more than per-task transparency.

When AgentWorks is the right choice

Pick AgentWorks if you are a European team that needs vendor neutrality, EU AI Act compliance, and predictable per-task costs.

You want to use Claude for compliance-sensitive reasoning, GPT-5 for general work, Mistral for European data residency — all in one thread.
You need per-agent EU AI Act risk classification and an exportable audit log for the upcoming inspections.
You want per-token € pricing so finance can predict cost per agent, per team, per task.
You need multi-agent pipelines (research → draft → review → publish) without writing the orchestration yourself.
You want an optional PII-detection layer that can mask data before a third-party LLM sees it, with detections logged for audit.

Migrating from ChatGPT Enterprise to AgentWorks

A practical six-step path. Run both systems in parallel for one week before cutting over.

1Audit your current ChatGPT Enterprise usage: which teams use it, for which workflows, with what data sensitivity.
2Export Custom GPTs definitions (prompt + tool config) — these map cleanly to AgentWorks agent templates.
3Pick 1-2 high-volume workflows for a parallel pilot: same input, run both, compare output quality and cost.
4Configure EU residency + the optional PII-detection policy in AgentWorks before connecting any production data source.
5Migrate team-by-team rather than big-bang; ChatGPT Enterprise seat reductions can lag a billing cycle, so plan the financial overlap.

Free account with a claimable €5 credit — no credit card, cancel anytime.

Get a free account See AgentWorks AI agents

Sources for ChatGPT Enterprise facts: https://openai.com/index/introducing-chatgpt-enterprise/, https://openai.com/policies/enterprise-privacy/, https://platform.openai.com/docs/models. Reviewed May 26, 2026. We update this page when OpenAI, Inc. ships material changes.

FAQ

AgentWorks vs ChatGPT Enterprise — common questions

Why would I want to switch between models mid-thread?: Different models excel at different sub-tasks: Claude is strong at compliance reasoning and long-document synthesis, GPT-5 is fast for tool calling, Gemini wins on multi-modal and long context, Mistral keeps EU-only data flow. With ChatGPT Enterprise you commit to one provider per session; with AgentWorks you switch per turn so each step uses the right model.
Is ChatGPT Enterprise EU AI Act compliant?: OpenAI publishes GPAI provider documentation and offers EU data residency, but ChatGPT Enterprise does not ship EU AI Act tooling for deployers (per-agent risk classification, Article 12 audit logs, Article 14 oversight workflows). Deployers have to build those layers themselves.
How does pricing compare in practice?: ChatGPT Enterprise is priced per seat in USD with a negotiated seat minimum, and the cost of an individual message is not visible to you. AgentWorks bills per token from one wallet across every model, so you pay for what is actually run and can attribute the cost to a specific task. Which is cheaper depends entirely on how heavily your seats are used — a team where everyone works in AI all day may land in the same range, while a team with a handful of daily users usually pays less. Model one month of your own volume against our published per-model rates rather than trusting a headline percentage.
Can ChatGPT Enterprise Custom GPTs replace AgentWorks agents?: Custom GPTs are single-agent personal automations with no multi-agent orchestration, no per-agent EU AI Act classification, and no governance review workflow. They work well as user-facing helpers; AgentWorks targets governed, audited, multi-step team workflows.
Does AgentWorks use OpenAI models?: Yes — GPT-5 and GPT-5 mini are first-class options alongside Anthropic, Google, and Mistral. The difference is you pick the model per agent and per turn, with an optional PII-detection layer available so OpenAI can receive a masked payload when it is enabled.
When will AgentWorks have SOC 2 / ISO 27001?: Both are being pursued as we scale into larger enterprise deployments. We run on EU infrastructure with documented controls; the certifications close the procurement-checklist gap that some enterprise buyers still flag.