Tutorials, deep dives and product notes — built for developers.
Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs GLM 5.2 (753B MoE, MIT, $4.40/1M). GLM 5.2 wins every coding benchmark by 4-18 points. Hy3 counters with MCP Atlas #1 open-weight (79.1%), BrowseComp 84.2%, DeepSearchQA 91.0%, 47% fewer tokens, and 5.5× cheaper. Full comparison with 5 charts and a 10-point verdict.
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 Gemini 3.5 Flash: Speed vs Depth. Sonnet leads every coding benchmark (+8.1 Pro, +4.2 TB). Gemini leads MCP Atlas (83.6%), is 4x faster (289 tok/s), 2x cheaper. Coding specialist vs tool orchestration speed king — pick your weapon.
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.
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.
GPT-5.5 and Kimi K2.6 are tied at 58.6% SWE-bench Pro. But Kimi leads HLE w/tools (54.0%), DeepSearchQA (+13.9), and Agent Swarm (300 sub-agents). GPT counters with OSWorld (+1.9), BrowseComp, Terminal-Bench (Codex CLI 82.7%), and 7.5× higher cost. The most evenly matched comparison of 2026.
Claude Opus 4.8 (69.2% Pro, $25/1M, AA Index #1) vs MiniMax M3 (59.0%, $1.20/1M, open-weight + video). Opus dominates 5 of 6 shared benchmarks by 8-13 points. But M3 is 21× cheaper, open-weight, and wins BrowseComp (-4.2). Full comparison with VP of VentureBeat research plus MiniMax/Minimax blog data.
GPT-5.5 (82.7% Terminal-Bench, 58.6% Pro, $30/1M) vs Gemini 3.5 Flash (83.6% MCP Atlas, 76.2% TB 2.1, $9/1M, 152 tok/s). GPT-5.5 dominates reasoning & long context. Flash dominates tool orchestration & speed. Official Google DeepMind model card data. 10-point verdict.
Qwen 3.7 Max (60.6% SWE-bench Pro, $7.50/1M, Anthropic API compatible) vs Kimi K2.6 (58.6%, $4.00/1M, 300 sub-agent swarms). Qwen leads all 6 shared benchmarks — but Kimi counters with open-weight, BrowseComp Agent Swarm (86.3%), and HLE w/tools (54%). Full comparison with real benchmark data.
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.