Tutorials, deep dives and product notes — built for developers.
Interactive SWE-bench Pro leaderboard updated with Claude Opus 5 at 79.2%. 40+ models ranked by real coding ability. Updated July 25, 2026.
Interactive pricing calculator for 39 AI models, now including Gemini 3.6 Flash at $1.50/$7.50 per 1M tokens. Updated July 21, 2026.
Cut AI coding agent costs by 80-97%. DeepSeek V4 Pro cache hits cost $0.003625/1M with 89.9% hit rate. Tiered model stacks save 94%. Batch APIs, structured prompts, iteration limits, and more — with a real before/after comparison: $8,500 to $235/month.
Qwen 3.7 Max leads 5/6 coding benchmarks including SWE-bench Pro (60.6% vs 55.4%). But DeepSeek V4 Pro dominates algorithmic coding (LiveCodeBench 93.5%, Codeforces 3206), is MIT-licensed and self-hostable, and costs 2.2× less ($3.48 vs $7.50/1M). Proprietary agent powerhouse vs open-weight algorithmic specialist.
GitHub Copilot switched to usage-based AI Credits on June 1, 2026 — and heavy users saw their bills skyrocket. Compare the best alternatives: Cursor, Claude Code, CodingFleet, Windsurf, Codex, Aider & more. Real pricing, market share data, developer reactions, and a decision framework.
The two best open-weight coding models in the world. MiniMax M3: 59.0% SWE-bench Pro (#1 open-weight), 1M context, native video, $1.20/1M. Kimi K2.6: 58.6% Pro, Agent Swarm (300 sub-agents, 4,000 steps), HLE leader (54%), $4.00/1M. Just 0.4 points apart on Pro but 3.3× price gap. Full benchmark comparison.
Qwen 3.7 Max beats GPT-5.5 on SWE-bench Pro (60.6% vs 58.6%) — the hardest coding benchmark. Costs 4x less. But GPT dominates Terminal-Bench, DeepSWE, and ARC-AGI-2. Full comparison.
DeepSeek V4 Flash costs $0.28/1M output — that's 89× cheaper than GPT-5.5. 126.7 tok/s on Artificial Analysis. 337.3 char/s on CodingFleet. 91.6% LiveCodeBench. 79.0% SWE-bench Verified. MIT license. 1M context. The complete review of the model that makes high-volume AI coding free.
Claude Opus 4.8 leads SWE-bench Pro by 8.6 points (69.2% vs 60.6%) — but Qwen 3.7 Max fights back on Terminal-Bench (69.7% vs 65.4%) and LiveCodeBench (91.6% vs 88.8%). With native Anthropic API compatibility and 3.33× lower cost, Qwen is the first model you can drop into Claude Code as a replacement.
Qwen 3.7 Max (60.6% SWE-bench Pro — highest proprietary score) vs MiniMax M3 (59.0%, $1.20/1M, open-weight + video). Just 1.6 points apart on Pro but 6.25× price gap. Alibaba's agent powerhouse vs the multimodal challenger.
Gemini 3.5 Flash ($9/1M, 76.2% Terminal-Bench, 4× faster) vs DeepSeek V4 Pro ($0.87/1M, 93.5% LiveCodeBench). 10× price gap. Flash wins on agent speed — DeepSeek on algorithms and value. Which fits your workflow?
MiniMax M3 (59.0% SWE-bench Pro, $1.20/1M, native video/image input) vs Gemini 3.5 Flash ($9/1M, 76.2% Terminal-Bench, 4× faster than frontier). Open-weight multimodal vs Google speed machine. Which wins for coding?