Free AgnesCode holds its own against Codex on kernel optimization
09/30/2026 — 10/02, 23:54·1 sources·1 reports
Story overview
On September 30, 2026, Leiphone published a report by Wu Haiming and Cao PP, edited by Li Na, comparing AgnesCode, a free AI coding agent, with the paid Codex. According to the report, AgnesCode posted higher low-level operator optimization performance on some chips in a real-world engineering comparison against Codex, and the piece uses that result to ask whether a free model can deliver professional-grade work.
The report does not specify which chips were involved, which kinds of operators were optimized, how the comparison was run, or how large any performance gap was. It also gives no developer, release date, or version information for AgnesCode, and offers no response or counter-data from the Codex side.
As of this report, the matter stands at a single claim: in one real engineering comparison, the free AgnesCode was not outmatched by the paid Codex in low-level operator optimization on some chips. The material does not indicate any disagreement over that claim, any follow-up reporting, or any independent verification.
AI-generated from 1 reports · updated 2 hours ago
Latest turnAgnesCode, a free AI coding agent, was pitted against the paid Codex on real engineering work and delivered higher performance on low-level kernel optimization for some chips. The comparison asks whether a free model can match professional-grade delivery.
Reports on this story headlines open the original
AgnesCode, a free AI coding agent, was pitted against the paid Codex on real engineering work and delivered higher performance on low-level kernel optimization for some chips. The comparison asks whether a free model can match professional-grade delivery.
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