Head-to-head breakdowns of the AI models and tools that matter — on benchmarks, capabilities and price.
Four agents, one decision. We score GitHub Copilot, Cursor, Claude Code and OpenAI Codex on quality (50%), price (30%) and speed (20%) — then show how the winner changes the moment you change the weights.
Read comparison →Z.ai’s new open-weight model scores 57.0 on the Artificial Analysis Intelligence Index — six points behind Claude Opus 5 and under two behind GPT-5.6 Sol, at $0.15 per million input tokens. It loses the flagship fight and wins the one that matters for volume: it beats Sonnet 5, Terra and Luna outright.
Read comparison →We gave Claude Opus 5, Fable 5 and Sonnet 5 the same three build briefs — an animated SVG fairground, a falling-sand physics sandbox and a self-solving Rubik’s cube — one run each, no retries, no browser. All nine builds run live inside the article. Opus 5 takes it 8–6–3, and the biggest surprise is the clock: the largest model was the fastest on every round, by a factor of nearly three.
Read comparison →Artificial Analysis scored Grok 4.6 at 61 on its Intelligence Index — level with GPT-5.6 Sol at max, behind Fable 5 at 62 and Opus 5 at 63. It costs $2/$6 per million tokens against $5/$25 and $5/$30, and finishes long agentic tasks in ~53 turns where Opus 5 takes ~103. It also trails both rivals by eight points on the hardest software-engineering evals.
Read comparison →OpenAI split GPT-5.6 into Sol, Terra and Luna. Anthropic shipped one model with an effort dial. Put both on the same cost-independent index and the settings line up exactly — including one result that should change how you configure your API calls.
Read comparison →Opus 5 costs the same as the Opus 4.8 it replaces, beats the double-priced Fable 5 on Anthropic's own coding charts, and burns a fraction of the tokens doing it. We lined up every published number — specs, prices, benchmarks — and flagged exactly where the comparisons don't hold.
Read comparison →We pasted identical prompts into Claude Opus 4.8 and Claude Fable 5 — an animated highway interchange, a one-file Space Invaders, a pure-SVG aquarium, and a 3D rocket launch — one shot each, no retries. Everything runs live inside the article. Four builds in, it is dead level at 2–2 — and the launch round flips the very pattern the first three revealed.
Read comparison →A BitsMinds analysis. The frontier fight has moved from models to the agents wrapped around them. We line up the three coding agents developers actually argue about in 2026 — Anthropic’s terminal-native Claude Code, OpenAI’s everywhere-at-once Codex, and Google’s agent-first Antigravity IDE — across form factor, autonomy, verification, model choice and price. The short version: Claude Code owns deep terminal autonomy, Codex wins ubiquity, and Antigravity is the open, free, multi-agent cockpit. Here is the full scorecard.
Read comparison →A BitsMinds analysis. We put each lab’s strongest model through the benchmark portfolio that actually separates frontier systems in 2026 — GPQA Diamond, ARC-AGI-2, AIME, SWE-bench, BFCL and more — then weigh price, context and speed. The short version: Gemini 3.1 Ultra is the sharpest reasoner and the best value, Claude Opus 4.8 owns real coding and agentic work, and GPT-5.5 is the strong all-rounder that everyone already has. Here is the full scorecard.
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