A recent benchmark by Systima Applied Research reveals that Claude Code incurs significantly higher token overhead compared to OpenCode. In tests, Claude Code used approximately 33,000 tokens for its system prompt, tool schemas, and scaffolding before processing the user's actual prompt, whereas OpenCode required only about 7,000 tokens. This substantial difference, a 4.7x gap, can lead to dramatically increased costs, particularly for teams with high request volumes, due to repeated premium-priced cache writes by Claude Code. While OpenCode offers broader LLM provider support, the study highlights the critical importance of understanding harness overhead for managing AI budgets. AI
IMPACT Highlights significant cost implications for AI development tools, pressuring developers to optimize harness efficiency.
RANK_REASON Benchmark study comparing two AI coding tools on token overhead.
Read on dev.to — Claude Code tag →
- AGENTS.md
- Article 12
- Claude Code
- CLAUDE.md
- EU AI Act
- openCode
- Systima Technologies (United States)
- Anomaly
- Claude Fable 5
- Systima Applied Research
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