Which coding agent has the best prompt caching efficiency?

Which coding agents use prompt caching most effectively? In April 2026, Claude Code led at 92% cache hit rate (cached_tokens / input_tokens), followed by OpenCode at 89%. Kilo Code sits at 46% with 62K avg input tokens. The gap is architectural: agents that maintain consistent context prefixes across sequential calls achieve dramatically higher cache reuse. Cache efficiency is the single biggest lever on coding agent economics. At 92% cache hit, Claude Code pays roughly $0.30 per million effective input tokens versus $3.00 list price. At 46%, Kilo Code pays $1.62 per million. That 5.4x cost difference compounds across every call in every session, enabling high-cache agents to sustain intensive workflows at fraction of the cost.

How much does prompt caching reduce coding agent costs?

Which coding agents use prompt caching most effectively? In April 2026, Claude Code led at 92% cache hit rate (cached_tokens / input_tokens), followed by OpenCode at 89%. Kilo Code sits at 46% with 62K avg input tokens. The gap is architectural: agents that maintain consistent context prefixes across sequential calls achieve dramatically higher cache reuse. Cache efficiency is the single biggest lever on coding agent economics. At 92% cache hit, Claude Code pays roughly $0.30 per million effective input tokens versus $3.00 list price. At 46%, Kilo Code pays $1.62 per million. That 5.4x cost difference compounds across every call in every session, enabling high-cache agents to sustain intensive workflows at fraction of the cost.

How does Claude Code achieve 92% cache hit rate?

Which coding agents use prompt caching most effectively? In April 2026, Claude Code led at 92% cache hit rate (cached_tokens / input_tokens), followed by OpenCode at 89%. Kilo Code sits at 46% with 62K avg input tokens. The gap is architectural: agents that maintain consistent context prefixes across sequential calls achieve dramatically higher cache reuse. Cache efficiency is the single biggest lever on coding agent economics. At 92% cache hit, Claude Code pays roughly $0.30 per million effective input tokens versus $3.00 list price. At 46%, Kilo Code pays $1.62 per million. That 5.4x cost difference compounds across every call in every session, enabling high-cache agents to sustain intensive workflows at fraction of the cost.

Data/Agentic workloads/Apr 2026

Prompt-cache hit rate by coding agent, April 2026

Requesty — Claude Code (92%) achieves the highest cache efficiency. Kilo Code (46%) trails, reflecting different prompt construction patterns.

Which coding agents use prompt caching most effectively? In April 2026, Claude Code led at 92% cache hit rate (cached_tokens / input_tokens), followed by OpenCode at 89%. Kilo Code sits at 46% with 62K avg input tokens. The gap is architectural: agents that maintain consistent context prefixes across sequential calls achieve dramatically higher cache reuse.

Why it mattersCache efficiency is the single biggest lever on coding agent economics. At 92% cache hit, Claude Code pays roughly $0.30 per million effective input tokens versus $3.00 list price. At 46%, Kilo Code pays $1.62 per million. That 5.4x cost difference compounds across every call in every session, enabling high-cache agents to sustain intensive workflows at fraction of the cost.

Period

Apr 2026

Updated

May 16, 2026

ID

coding-agent-cache-apr26

§ 01

Key findings

01Claude Code: 92% cache hit rate, the leader by a wide margin.
02OpenCode: 89%. Second only to Claude Code despite different architecture.
03Roo Code: 74%. Solid but significantly behind Claude Code.
04Kilo Code: 46%. Smaller context windows (62K vs 84K) reduce prefix reuse opportunity.
05Higher cache rates correlate strongly with lower per-call costs across all agents.

§ 02

Data

Agent	Cache hit rate(percent)
Claude Code	91.90%
OpenCode	89.00%
Aider	84.00%
Zed	80.10%
Roo Code	73.60%
Forge	63.90%
Cline	61.40%
Kilo Code	45.50%

§ 03

Cite as

APA

Click to copy

BibTeX

Click to copy

ID: coding-agent-cache-apr26·Updated May 16, 2026·Period Apr 2026

Prompt-cache hit rate by coding agent, April 2026

Cache hit rate by coding agent, April 2026

Key findings

Data

Cite as