On April 16, 2026, Anthropic announced Claude Opus 4.7, its most powerful generally available AI model. According to the company, Opus 4.7 scores 87.6% on SWE-bench Verified, a widely watched benchmark that measures how well an AI can fix real software bugs, and 94.2% on GPQA, a difficult graduate-level science exam. The model also has a 1 million token context window — roughly the size of a long novel — and vision capabilities that can process images up to 2,576 pixels across, more than triple the resolution of previous Claude versions.
Anthropic is carefully positioning Opus 4.7 against its own experimental preview model, Claude Mythos. Company executives described Opus 4.7 as better at software engineering, instruction-following, and completing real-world work, while being 'less broadly capable' and 'less risky' than Mythos, which is still only available in a controlled research preview. That framing reflects Anthropic's focus on safety: releasing a strong but more predictable model to most users while keeping the frontier model under tighter access controls.
The release landed on the same day OpenAI announced a major overhaul of its Codex coding app, underscoring how tightly the frontier AI labs are competing. Claude Opus 4.7 keeps the same pricing as Opus 4.6 — five dollars per million input tokens and twenty-five dollars per million output tokens — which keeps it expensive for heavy use but in line with other flagship models.
For students, the most interesting signal is how quickly benchmarks that once looked aspirational are being passed. A score of 87.6% on SWE-bench means an AI is solving real open-source bug reports better than most junior engineers could on a first pass. But benchmarks are not the whole picture: real coding work requires judgment, collaboration, and understanding what the user actually wants. The students who thrive with these tools will be the ones who learn to direct them well, not the ones who hope the model will think for them.