Claude Opus 4.5 Achieves State-of-the-Art Performance on Challenging AutoCodeBench-V2 Coding Benchmark

Anthropic's latest large language model, Claude Opus 4.5, has demonstrated superior capabilities in code generation, dominating the recently updated AutoCodeBench-V2 benchmark. The achievement, highlighted by a tweet from "Lisan al Gaib," underscores the model's advanced proficiency in handling complex, multilingual coding tasks. AutoCodeBench-V2, developed by Tencent's Hunyuan Team, features 1,000 iteratively refined problems, designed to rigorously test the limits of AI in software engineering.

The new benchmark, a large-scale, human-free code generation evaluation, assesses models across 20 programming languages with a focus on high difficulty and practical diversity. Claude Opus 4.5 consistently ranked first, showcasing state-of-the-art performance in both reasoning and non-reasoning modes. This strong showing aligns with previous results on other rigorous evaluations like SWE-bench, further solidifying Anthropic's position in the competitive AI landscape.

Developers and customers with early access to Claude Opus 4.5 have lauded its ability to handle ambiguity and reason through complex, multi-system bugs without extensive human intervention. The model's enhanced agentic capabilities allow it to manage long-running coding tasks and even orchestrate teams of subagents, leading to significant improvements in efficiency and accuracy. Anthropic noted that Opus 4.5 exceeded Sonnet 4.5's performance by 4.3 percentage points on SWE-bench Verified while using 48% fewer tokens at its highest effort level.

AutoCodeBench-V2 is particularly notable for its inclusion of multi-logical problems, requiring models to implement multiple distinct functions or classes within a single task. While all evaluated models showed a performance drop on these complex problems, Claude Opus 4.5 exhibited a relatively smaller decline, indicating its superior ability to manage intricate, multi-step reasoning. The benchmark's creators emphasized that even the most advanced LLMs still struggle with its challenges, highlighting the significant room for further AI development in this domain.

Anthropic has made Claude Opus 4.5 available through its apps, API, and major cloud platforms, with a more accessible pricing structure compared to previous Opus models. This strategic move aims to make frontier-level AI capabilities more widely available for complex reasoning, coding, and long-running tasks, signaling a new era for AI-assisted software development. The model's robust performance on benchmarks like AutoCodeBench-V2 positions it as a leading tool for developers and enterprises seeking advanced code generation and problem-solving solutions.