Claude Opus 4.5 Reclaims Coding Crown with 67% Price Cut and Token Efficiency That Changes Everything
Anthropic just dropped Claude Opus 4.5, slashing prices from $15/$75 to $5/$25 per million tokens while beating GPT-5.1 Codex Max and Gemini 3 Pro on software engineering benchmarks. The kicker? It uses 50-76% fewer tokens to get the same results, making it cheaper and faster than competitors. What Happened: Claude Opus 4.5 scored 80.9% on SWE-bench Verified, outperforming GPT-5.1 Codex Max (77.9%), Gemini 3 Pro (76.2%), and its own Sonnet 4.5 (77.2%). It's the first Claude model with a new "effort" parameter that lets you dial reasoning depth up or down per API call, trading speed for thoroughness. At medium effort, it matches previous model performance using 76% fewer output tokens. At high effort, it exceeds accuracy by 4.3 points while still using 50% fewer tokens. The model scored higher than any human candidate on Anthropic's internal two-hour engineering assessment. Available now across Claude apps, API, AWS Bedrock, Azure, and Google Vertex with a 200K token context window. Long conversations no longer hit walls as Claude auto-summarizes earlier context. Claude Code gained Plan Mode, desktop availability, and multi-agent parallel sessions. Why This Matters for Agencies: - Cost Revolution: The 67% price cut plus token efficiency means 92% total cost reduction on large-scale tasks compared to previous Opus models. - Production Ready: What was a "boutique" model too expensive for workflows is now competitive with mid-tier pricing while delivering frontier performance. - Effort Control: Dial reasoning up for complex client deliverables, down for high-volume tasks, optimizing cost vs quality per use case. - Coding Dominance: Best-in-class software engineering scores make it the go-to for code generation, migration, and autonomous development workflows. Bottom Line: Opus 4.5 repositions frontier AI from premium luxury to production workhorse. Test it against your current model on complex coding tasks this week to quantify the token savings and quality improvement.