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Series
Ship-Bench tests if AI agents and coding tools can actually ship realistic software. It evaluates LLMs across a full agentic SDLC workflow: planning, architecture, UX/design, implementation, and QA.
Developers face a real choice: pick a coding model or agent based on synthetic benchmarks that look great but do not predict actual project work. The problem is no longer whether models can score well
Is a $20/month Google AI Pro account worth it versus running Gemma 4 31B on OpenRouter pay-as-you-go? This Ship-Bench run was designed to answer that question across a realistic coding workflow rather
Which of the new open-ish frontier models has the best chance to stand up against closed-source models on both cost and quality? I ran Ship-Bench against Kimi K2.6, Qwen 3.6 Plus, and DeepSeek v4 Pro
Can you really justify paying flagship prices when the mid-tier models may already be good enough? The original comparison started with Gemini 3 Flash vs. Claude Sonnet 4.6, then Gemini 3.5 Flash arri
