Claude Haiku 4.5 vs Gemini 2.5 Flash Lite for Agentic Planning

Agentic Planning in our suite measures goal decomposition and failure recovery. Because no external benchmark applies here, our agentic_planning test is the primary evidence: Claude Haiku 4.5 = 5/5; Gemini 2.5 Flash Lite = 4/5. Supporting capabilities that matter for agentic workflows include: tool_calling (function selection, arguments, sequencing) — both score 5; strategic_analysis (tradeoff reasoning) — Haiku 5 vs Flash Lite 3; structured_output (JSON/schema adherence) — tie at 4; long_context (retrieval across large contexts) — tie at 5; and safety_calibration (refusal calibration) — Haiku 2 vs Flash Lite 1. Operational factors also matter: Haiku has a 200,000-token context window and supports text+image->text; Flash Lite has a larger 1,048,576-token window and broader modalities (text+image+file+audio+video->text) and is described as optimized for ultra-low latency and cost efficiency. Use the agentic_planning score as the primary signal, and the other scores above to explain why Haiku handles complex decomposition and recovery more robustly in our tests.

1. Complex automation with conditional recovery: A system that must decompose a business goal into prioritized subtasks, detect failures, and replan. Claude Haiku 4.5 (agentic_planning 5, strategic_analysis 5, creative_problem_solving 4) is the stronger choice because it scored higher on goal decomposition and tradeoff reasoning. 2) High-throughput multi-tool pipeline: If you need low latency and minimal cost while orchestrating many short tool calls, Flash Lite (agentic_planning 4, tool_calling 5, output cost 0.4 per mTok) is compelling — tool_calling ties at 5 and Flash Lite is far cheaper (output cost 0.4 vs Haiku 5). 3) Long audit logs or multimodal context: When planning must incorporate very large context windows or audio/video inputs, Flash Lite’s 1,048,576-token window and multimodal support are advantageous (Haiku context window 200,000). 4) Safety-sensitive recovery: Neither model scores high on safety_calibration, but Haiku scores 2 vs Flash Lite 1 in our tests, so Haiku is modestly better at refusing or routing harmful requests while preserving legitimate ones.

For Agentic Planning, choose Claude Haiku 4.5 if you need the best goal decomposition and failure-recovery performance (scores 5 vs 4, strategic_analysis 5 vs 3) and can accept higher output cost (5 per mTok). Choose Gemini 2.5 Flash Lite if you prioritize cost and latency (output cost 0.4 per mTok, described as optimized for ultra-low latency), need a larger context window (1,048,576 tokens) or multimodal inputs, and can accept a small drop in agentic planning quality.