ChatGPT vs OpenHands
Side-by-side trajectory, velocity, and editorial themes.
OpenAI is turning Codex into the wedge — and DeployCo into the channel that lands it.
OpenAI's recent surface area centers on Codex. The last week brings customer stories from NVIDIA, AutoScout24, and finance teams; security tooling for running Codex safely; and adoption data showing Q1 growth concentrated in older users. Around the developer push, the firm just stood up DeployCo as an enterprise deployment arm and shipped GPT-5.5-Cyber under Trusted Access for verified cybersecurity work.
Less new-model splash, more proving Codex is enterprise-ready: telemetry, sandboxing, named customers, and a dedicated deployment company to absorb integration work. Vertical models like GPT-5.5-Cyber suggest a willingness to fragment the lineup for high-trust use cases. Demand signals frame this as scaling out of an already-large base, not chasing a new audience.
Expect more named-customer Codex stories in regulated industries and a follow-on vertical model — finance or legal are the obvious candidates — paired with DeployCo case content that translates the deployment company into measurable revenue.
OpenHands swaps its default model to MiniMax-M2.7, betting on open weights for the agent loop.
OpenHands Cloud is on a tight release cadence (1.23 through 1.33 in about three weeks) and has just promoted MiniMax-M2.7 to the default model on both the current 1.33 line and the 1.32 backport. Most of the surrounding releases are housekeeping — token-persistence fixes, SDK version bumps, route and onboarding-flag fixes. The open-source side recently shipped 1.7.0 with KVM-accelerated sandbox support and an exposed SDK settings schema.
The team is hardening the cloud surface with rapid small releases while making one substantive directional move: which model the agent reaches for by default. Pairing that with KVM sandbox acceleration in the OSS release suggests they want longer, heavier coding runs to be viable on the platform. The cloud and OSS streams are advancing in lockstep but with distinct cadences.
Expect further default-model tuning as benchmarks settle around MiniMax-M2.7 versus closed-model alternatives, plus continued cleanup of the SaaS routing and onboarding flows. The KVM sandbox path likely gets surfaced as a paid tier or an enterprise self-host option once it stabilizes.
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