Tutorials, deep dives and product notes — built for developers.
Kimi K3 vs Claude Fable 5 across 35 benchmarks: Fable wins 22, K3 wins 12, 1 tie. K3 leads Terminal-Bench 2.1, SWE Marathon (+7), BrowseComp, and took #1 on the Frontend Code Arena — all at 70% less cost. Fable dominates FrontierSWE (+5.4), HLE (+9.8), and vision. Full scorecard with radar charts and pricing analysis.
Kimi K3 vs Claude Opus 4.8: K3 leads all 9 shared coding benchmarks and costs 40% less. Opus 4.8 counters with independently verified scores, adjustable reasoning, and mature production tooling. Full comparison with radar charts and pricing tables.
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 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 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.
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.
GPT-5.5 dominates agentic coding (+14.2 Terminal-Bench, +4.4 SWE-bench Pro). Gemini 3.1 Pro wins on price (2.5× cheaper), reasoning (GPQA 94.3%), and multimodal breadth. Real benchmarks, pricing analysis, and a 9-point decision matrix for choosing the right enterprise model.