Tutorials, deep dives and product notes — built for developers.
Claude Sonnet 5 ($2/$10, June 30 — now permanent) beats GPT-5.5 ($5/$30, April 23) on every directly comparable benchmark: +4.6 SWE-bench Pro, +2.2 Terminal-Bench 2.1, +5.2 HLE with tools. At 60% cheaper input and 67% cheaper output. Full benchmark comparison.
Claude Sonnet 5 vs Sonnet 4.6: every benchmark, every gain. +13.4 Terminal-Bench 2.1, +10.6 HLE tools, +5.1 SWE-bench Pro, +223 GDPval (beats Opus 4.8). Same $3/$15 list price. Tokenizer caveat explained. Full comparison with bar charts, radar, and gains chart — all sourced from Anthropic's Sonnet 5 System Card.
Claude Sonnet 5 (63.2% Pro, $15/1M) vs Opus 4.8 (69.2%, $25/1M). Sonnet 5 beats Opus on knowledge work (GDPval 1618 vs 1615), ties on HLE with tools (57.4% vs 57.9%), and delivers 93% of Opus capability at 60% of the price. Full benchmark comparison from Anthropic's Sonnet 5 System Card.
GLM-5.2 vs GLM-5.1: the full sibling comparison. DeepSWE +28.2 (18.0→46.2), HMMT +9.9, GPQA +5.0, Pro +3.7. 200K→1M context (5×). Single→dual thinking modes. Anthropic API native. Same MIT license, same $4.40/1M. All data from Z.ai official blog.
GLM-5.2 (62.1% Pro, MIT, $4.40) vs Qwen 3.7 Max (60.6%, proprietary, $7.50). Near-ties everywhere: Pro +1.5, MCP +0.6, HLE -0.9. Qwen dominates math (GPQA 92.4%) and is the Agent Frontier (35hr autonomous). GLM is MIT open-weight. Full comparison.
GLM-5.2 (62.1% Pro, $4.40/1M) vs DeepSeek V4 Pro (55.4%, $0.87/1M). GLM leads all shared benchmarks (+6.7 Pro, +6.5 HLE, +3.4 MCP). But DeepSeek dominates competitive coding: LiveCodeBench 93.5% (#1 global), Codeforces 3206, GPQA 90.1%. Both MIT, both 1M context. Full comparison.
GLM-5.2 (62.1% Pro, MIT, $4.40/1M) vs MiniMax M3 (59.0%, open-weight, $1.20/1M). GLM leads all shared benchmarks (+3.1 Pro, +15.0 TB 2.1, +2.8 MCP Atlas). But M3 is 3.7× cheaper, multimodal (video+image+desktop), and leads BrowseComp (83.5%). Text-only powerhouse vs the Swiss Army knife. Full comparison.
Claude Opus 4.8 leads every benchmark — but GLM-5.2 is within 0.7 pts on FrontierSWE and 0.8 pts on MCP Atlas. At $4.40 vs $25 per 1M (5.7× cheaper) with MIT open weights, GLM-5.2 is the first open-weight model that makes Opus look expensive. Full 8-benchmark comparison from Z.AI & LLM Stats data.
GLM-5.2 (62.1% Pro, MIT open-weight, $4.40/1M) beats GPT-5.5 (58.6%, $30/1M) on SWE-bench Pro by 3.5 points at 1/7 the cost. Also leads HLE w/tools (+2.5), FrontierSWE (+1.8), MCP Atlas (+1.7). GPT-5.5 counters with DeepSWE (+23.8), TB 2.1 (+3.0). Full comparison with 12 shared benchmarks from Z.AI/VentureBeat data.
SpaceX exercised its $60B option to acquire Cursor today (June 16, 2026). Here's how the AI coding tool compares to GitHub Copilot (4.7M paid users, 42% market share). Pricing, SWE-bench scores, agent capabilities, enterprise features. Plus: what the SpaceX deal means for developers.
Anthropic's two best non-Mythos models face off. Claude Opus 4.8 ($25/1M, 69.2% Pro) leads Sonnet 4.6 ($15/1M) on all benchmarks by 1-13 pts. But Sonnet handles 1M context at standard pricing, costs 1.7x less, and was preferred by devs over Opus 4.5. Full sibling comparison.
Google's two best models face off. Gemini 3.1 Pro leads on reasoning (HLE +4.2, MRCR +7.6, ARC-AGI-2 +5.0). Gemini 3.5 Flash dominates agents & coding (+14.9 Finance, +5.9 Terminal-Bench, +5.4 MCP Atlas), is 25% cheaper, and 4× faster. All data from Google DeepMind's official model card.