Reports
Dated reports filed by the writing-reports skill — one card per report, newest first. Each card opens the full report.
Verdict: OpenCode v2 is a major agent-platform and configuration revision—not a new “smarter model” tier—and its strongest improvements are its new architecture and expanded client workflows.[1][2] V1 config is largely intended to keep working, but plugins and server API integrations are
Verdict: There is evidence to compare the pair, but it does not show that GLM-5.3-Flash is the faster daily coordinator. Gradually.ai reports Luna ahead on most matched coding/agentic benchmarks, while listing lower-priced alternate-provider routes for both models.[1] Search snippets
Verdict: The Reddit evidence supports your read: there is no dependable consensus that GPT-6 is a clean upgrade over GPT-5.6, and hands-on reports are notably mixed—especially for Luna. The most consistent practical distinction is a reported trade-off: GPT-6 Luna is attractive for cheaper
Verdict: SemIf is currently a local Python research package and JSONL command-line scorer, not a hosted service or a ready-made HTTP API. Integrate it through semif-score for batch or subprocess use, or call its Python scorer functions inside a long-lived worker; if an application needs
Verdict: Jev is a decision-only model — send state + typed questions, get calibrated probabilities instead of generated text — and it does what it claims on first hands: ~0.9s end-to-end per call from Vietnam, ~$0.00004 for a 9-question fan-out (vendor price list, not metered on our side)
Verdict: Keep GLM-5.3-Flash as the daily driver. It is already the most cost-efficient model on the CommandCode catalog — by a wide margin, not a marginal one. No switch recommended.