Tutorials, deep dives and product notes — built for developers.
GPT-5.6 Luna vs GPT-5.4 mini compared across official coding, reasoning, tool-use, multimodal, computer-use and long-context results, plus pricing and a practical routing strategy.
GPT-5.6 Luna vs MiniMax M3 compared across coding, browsing, 1M context, video input, agent workflows, pricing and open-weight deployment. Luna leads published coding rows; M3 brings multimodal value.
GPT-5.6 Luna vs DeepSeek V4 Pro: a sourced comparison of coding, 1M context, reasoning modes, MIT weights, caching, pricing, tools and deployment economics.
GPT-5.6 Luna vs GLM 5.2 compared across coding, reasoning, long context, tools, pricing, licensing and deployment. After Luna's permanent 80% price cut, Luna has the stronger managed capability and economics package; GLM 5.2 brings MIT weights and openness.
GPT‑5.6 Sol, Terra, and Luna compared across official coding, agentic, professional, science, computer-use, long-context, academic, tool-use, and cybersecurity benchmarks—with pricing tables, charts, radar, and a practical routing guide.
GPT-5.6 Sol vs Claude Fable 5: Sol leads on agentic coding and price; Fable leads SWE-bench Pro and aggregate intelligence. Rich charts, radar, cost math, and sourced guidance.
GPT-5.6 Sol vs Terra: a detailed family comparison across pricing, 1M context, coding, professional work, science, computer use, charts, radar, and a practical routing strategy.
GPT-5.6 Sol vs Claude Opus 4.8: detailed comparison across pricing, caching, 1M context, coding and professional benchmarks, long context, MCP Atlas, graphs, radar, and routing guidance.
GPT-5.6 Terra vs Claude Sonnet 5: nearly identical standard output pricing, 1M+ context, and a close SWE-bench Pro result—yet sharply different terminal scores, tooling, availability, and intro pricing.
Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs GPT-5.5 (proprietary, $30/1M). GPT-5.5 leads coding (+11-42 pts), but Hy3 fights back on agents: wins MCP Atlas (+3.8), edges HLE w/tools (+1.0), near-ties BrowseComp (84.2 vs 84.4). All at 1/37th the cost. 5 charts, full breakdown.
Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs Claude Sonnet 5 (proprietary, $10/1M). Sonnet leads every shared benchmark (+0.5 to +8.7 pts). But Hy3 ties on BrowseComp (84.2 vs 84.7), leads MCP Atlas (79.1%), costs 12.5x less. Open-weight agent vs proprietary coder — 5 charts, 10-point verdict.
Tencent's 295B MoE Hy3 just took the fight to DeepSeek's 1.6T V4 Pro — and won on 12 of 18 shared benchmarks. Pricing is close: Hy3 cheaper on fresh input/output, V4 Pro's disk caching is 16.5× cheaper on repeated contexts. Full breakdown.