Tutorials, deep dives and product notes — built for developers.
Claude Fable 5 (80.3% SWE-bench Pro, $50/1M) vs Claude Sonnet 5 (63.2%, $15/1M). Fable 5 leads all 8 shared benchmarks by +8.2 pts avg — but Sonnet 5 delivers 79% of the capability at 30% of the price. Full comparison with 4 custom charts, pricing deep-dive, tokenizer analysis, and a 10-point verdict matrix.
Claude Sonnet 5 vs DeepSeek V4 Pro: Sonnet leads every coding benchmark (+7.8 Pro, +9.2 HLE tools). DeepSeek is #1 global on LiveCodeBench (93.5%), MIT open-weight, and 3.5× cheaper per task ($0.12 vs $0.42 at Sonnet's now-permanent $2/$10). Is 7.8 more Pro points worth 3.5× the cost?
Claude Sonnet 5 vs Qwen 3.7 Max: Sonnet leads coding (+2.6 Pro, +4.8 Verified). Qwen dominates math (92.4% GPQA), runs 35-hour autonomous agents, and is 2.7x cheaper ($3.75 vs $15 output). The coder vs the marathon runner — full comparison.
Claude Sonnet 5 vs GLM 5.2: near-ties on every benchmark (±0.6-2.7 pts). GLM 2.3× cheaper on output, MIT open-weight, self-hostable. Sonnet has OSWorld, BrowseComp, Anthropic safety ecosystem. Proprietary premium vs open-weight value — Sonnet's $2/$10 is now permanent.
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.