Tutorials, deep dives and product notes — built for developers.
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.
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?
Claude Opus 4.8 (69.2% SWE-bench Pro, $25/1M) vs DeepSeek V4 Pro (55.4%, $0.87/1M). The coding king leads by 13.8 points — but DeepSeek wins LiveCodeBench (93.5%) and Terminal-Bench. Is the 28.7× premium worth it?
GPT-5.5 costs $30/1M output. DeepSeek V4 Pro costs $0.87. That's 34× cheaper — but the SWE-bench Pro gap is just 3.2 points (58.6% vs 55.4%). On LiveCodeBench, DeepSeek leads at 93.5%. When does GPT-5.5 justify its premium? Full data-driven coding comparison.
What SWE-bench Pro actually measures, how it works (1,865 tasks, 41 repos, 123 languages), why OpenAI abandoned SWE-bench Verified, the DeepSWE audit that found 32% verifier errors, and how to use coding benchmarks correctly. The definitive explainer.
MiniMax M3 (59.0% SWE-bench Pro) vs DeepSeek V4 Pro (93.5% LiveCodeBench). M3 wins benchmarks + multimodality. DeepSeek wins price ($0.87/1M), ecosystem (2,150× more adoption), and algorithmic dominance. The generalist vs the specialist — which open-weight Chinese model fits your stack?
Both $15/1M output. GPT-5.4 is faster (242.5 char/s vs 173.3 on CodingFleet) and stronger on benchmarks (SWE-bench Pro +14, Terminal-Bench +16). Sonnet 4.6 counters with 90% cache discounts, no long-context surcharge, and mature Claude Code ecosystem. The real verdict: use both.
Qwen 3.7 Max — Alibaba's "Agent Frontier" — challenges GPT-5.5 and Claude Opus 4.8 with 60.6% SWE-bench Pro, 91.6% LiveCodeBench, and a record-breaking 53.5% SciCode. At $7.50/1M output with Anthropic API compatibility. Full benchmark comparison, Tetris bot real-world test, and the verbosity tax explained.
From 33.4% Verified to 93.9% — Fable 5 breaks 90%. GPT-5.5's 47-day Terminal-Bench reign ends. Track 27 months of AI coding progress with new charts. Updated June 9, 2026.
32B active params vs 10B. $4.00/1M output vs $1.20. 58.6% SWE-bench Pro vs 56.22%. Kimi K2.6 wins on raw performance — but MiniMax M2.7 is the efficiency miracle: 94% of Kimi's coding score at 70% less cost, with only a fraction of the parameters. This is the battle between brute force and architectural genius.
0.2 points apart on SWE-bench Pro. Both open-weight. Both released in April 2026. But the similarities end there. Kimi K2.6 leads on coding (+11.1), agentic tasks (+7.8), and vision. GLM-5.1 counters with pure MIT license, Code Arena #3, and Claude Code compatibility. Here's the definitive comparison.
Claude Fable 5 is the new Python coding king (80.3% SWE-bench Pro). Updated June 9, 2026 with full Fable 5 benchmarks.