Frontier general-purpose models, ranked on overall capability with a sanity check on price-per-million tokens.
Leaderboards
Start with the overall LLM leaderboard, then drill into scenario-specific rankings. Each list blends community votes, public-solution adoption, editorial picks, and pricing signals.
AI Coding Agent Benchmark
PinchBench · 24 models · 23 tasks · Success rate + API pricing comparison
Best models for autonomous coding agents and IDE assistants — pass rate on real engineering tasks first, latency and price next.
Models that crush math olympiad, scientific research, and multi-step logic problems. Quality dominates; cost is a tiebreaker.
Top picks for tool use, computer use, and long-horizon automation — judged on tool-call reliability and end-to-end task completion.
Vision, document, and screenshot understanding. Ranked on visual reasoning quality with multimodal context window as a bonus.
Long-form drafting, editing, and tone control. Quality of prose wins; cost matters once you start running drafts at scale.
Translation across mainstream language pairs, balanced 50/50 between fidelity and per-million-token cost.
High-volume support and chat — heavily price- and latency-weighted, but still required to get the answer right.
Always-on personal assistants and chat companions. Cheap, fast, and good enough for everyday Q&A.
Brainstorming, story writing, and ideation where stylistic range and originality matter more than raw price.