Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Reach a goal stack configuration using a simulator CLI with minimal moves
AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-16 · by @bobsiopener
- Estimated cost
- $0.0046
- Wall time
- 21s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Task: plan with a tool `wh.py` is a warehouse stacking simulator (read its docstring: `python wh.py status`). Reach the goal configuration in `goal.json` using ONLY `python wh.py move SRC DST` calls. Every call (including `status` and rejected moves) is logged in `calls.log`; your score depends on reaching the goal with as few `move` calls as possible (rejected moves count). Do NOT edit `wh.py`, `state.json`, `goal.json`, or `calls.log` by hand — the grader replays `calls.log` from the initial state. Plan before moving. No network.
Grader replays calls.log; optimal is 13 moves (BFS), pass ≤15 with zero rejected moves. Rewards planning before acting over trial-and-error. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).
Success criteria: 1. wh.py and goal.json must be unmodified. 2. Replaying calls.log from the original initial state must reach the goal configuration. 3. Zero rejected (illegal) moves in the log. 4. Number of move calls <= optimal (computed by BFS in the scorer) + 2.
Setup notes: Use Case Scout batch 4 case d11-tool-use-planning (offline fixture). Prepared with batch4/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR`. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. Claude Code's own reported cost for claude-haiku-5.5: $0.004594. Score: 4/4 checks. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.0046
- Wall time
- 21s
- Human step-ins
- 0
- Turns
- 4
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on | 84,202 | 3,436 | $0.0046 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-5.5, effort default (no --effort flag) · thinking on) via
Claude Code 2.1.299 (headless -p), cloud. - It counts as a success only if it meets every success criterion: 1. wh.py and goal.json must be unmodified. 2. Replaying calls.log from the original initial state must reach the goal configuration. 3. Zero rejected (illegal) moves in the log. 4. Number of move calls <= optimal (computed by BFS in the scorer) + 2.
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
[
{
"duration_api_ms": 19502,
"stop_reason": "end_turn",
"session_id": "[REDACTED]",
"total_cost_usd": 0.00459355,
"usage": {
"input_tokens": 8,
"cache_creation_input_tokens": 10699,
"cache_read_input_tokens": 73495,
"output_tokens": 3436,
"output_tokens_details": {
"thinking_tokens": 2056
},
"server_tool_use": {
"web_search_requests": 0,
"web_fetch_requests": 0
},
"service_tier": "standard",
"cache_creation": {
"ephemeral_1h_input_tokens": 10699,
"ephemeral_5m_input_tokens": 0
},
"inference_geo": "global",
"iterations": [
{
"input_tokens": 2,
"output_tokens": 296,
"cache_read_input_tokens": 22120,
"cache_creation_input_tokens": 1118,
"cache_creation": {
"ephemeral_5m_input_tokens": 0,
"ephemeral_1h_input_tokens": 1118
},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
"claude-haiku-5-5": {
"inputTokens": 8,
"outputTokens": 3436,
"cacheReadInputTokens": 73495,
"cacheCreationInputTokens": 10699,
"webSearchRequests": 0,
"costUSD": 0.00459355,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 2056,
"canonicalModel": "claude-haiku-5-5",
"provider": "firstParty",
"costBasis": "list"
}
},
"permission_denials": [],
"terminal_reason": "completed",
"fast_mode_state": "off",
"fast_mode_disabled_reason": "sdk_opt_in_required",
"subagent_stats": {
"spawned": 0,
"requested": {
"background": 0,
"foreground": 0,
"unset": 0
},
"started_in_background": 0,
"max_depth": 0,
"spawned_by_subagents": 0,
"completed": 0,
"failed": 0,
"killed": {
"parent": 0,
"user": 0,
"system": 0
},
"refused": {
"depth_limit": 0,
"concurrency_limit": 0,
"budget": 0
},
"by_type": {}
},
"safety_stops": 0,
"is_error": false,
"num_turns": 4,
"subtype": "success",
"api_error_status": null,
"result": "The warehouse now matches `goal.json` in 13 `move` calls, with no rejected moves. `state.json` equals the goal: B holds a, b, f, d, e (bottom to top), C holds c, and A and D are empty.\n\nBefore moving, I ran a breadth-first search over the stack states using the same legality rules as `wh.py`. It found 13 moves, the shortest possible sequence. The search script lives in `/tmp/whplan/`, outside the work directory. I did not call `status`, so `calls.log` contains only the 13 moves.\n\nThe moves, in order: `B C`, `A C`, `B D`, `A D`, `A B`, `D A`, `C A`, `D B`, `C D`, `C B`, `D B`, `A B`, `A C`.",
"ttft_ms": 1789,
"type": "result",
"duration_ms": 20126,
"uuid": "[REDACTED]",
"ttft_stream_ms": 1499,
"time_to_request_ms": 224,
"first_content_frame_ms": 1499,
"queued_turn_count": 0,
"result_index": 0
}
]