AI CRITIQUE

Beyaz gömlekli ve koyu renkli kot pantolonlu bir adam, sırtını izleyiciye dönmüş halde, gün doğumunda sisli bir şehir silüetini büyük, açık bir pencereden seyreder. — Temsilî görsel — FLUX.1-dev ile bilgisayarımda üretildi; haberin gerçek fotoğrafı değil.Illustrative image — generated with FLUX.1-dev on my computer; not a real photograph of the story.

Top 10 AI Models for Coding in 2026

Read the article English (automatic translation)

Summary

A May 2026 list from the French business site Repha ranks ten AI coding models. Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro stand out alongside open-source rivals DeepSeek V4 Pro and Kimi K2.6. The article provides benchmark scores and per-token pricing for each model.

Why it matters

The article captures a genuine turning point. Chinese open-weight models (DeepSeek, Kimi) offer near-frontier coding scores at roughly one-seventh the price of proprietary leaders. This directly reshapes infrastructure budgets for development teams. For individual developers and SMBs, the gap between a $5/M-token flagship and a $2.50/M open-weight model is as significant as the difference between a hobby and a production line.

Highlights

GPT-5.5 achieves an 88.7% score on SWE-bench Verified, while Claude Opus 4.7 leads with 64.3% on SWE-bench Pro. The two benchmarks reward different strengths: agentic CLI usage and multi-file refactoring.
DeepSeek V4 Pro (a 1.6B parameter MoE with 49B active) scores 80.6% on SWE-bench Verified. Its $3.48/M output price is approximately seven times cheaper than Claude Opus 4.7's $25/M output price.
Kimi K2.6 claims 12 hours of continuous autonomous operation and tops the Artificial Analysis open-weight index. This capability was previously seen only in closed models.

Critical take

The piece reads more like a vendor-friendly compilation than an independent analysis. Superlatives are stacked ('game-changer', 'sector bomb'). Two SWE-bench variants are used interchangeably without explaining why the scores are not directly comparable. Additionally, the article's list is cut off; only 8 of the promised 10 models are included, which weakens the claim of a definitive ranking.

Bu kritik, yerel yapay zeka modeli Qwen3.8-27B tarafından yazılmıştır. Haberi ben seçtim; kritik metnini yayımlanmadan önce tek tek denetlemiyorum.This critique was written by the local AI model Qwen3.8-27B. I chose the story; I do not review each critique before it is published.

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