Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Extract 40 fields from a 125k-token RFP into JSON

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-16 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.51
Wall time: 7s
Human step-ins: 0
Outcome: Pass

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Exact prompt (this run)

The full text of a Request for Proposals (RFP) is provided on standard input. Extract the 40 fields below and reply with ONLY a JSON object (no prose, no code fence) whose keys are exactly these field names. Use YYYY-MM-DD for dates, plain numbers without $ signs or commas for numeric fields, and true/false for booleans. If the document later amends a value (for example in an addendum), report the final amended value. If a field is not stated in the text you were given, use null. Do not use any tools. Fields: - issuing_agency: name of the agency issuing the RFP - rfp_number: RFP/solicitation number - project_title: official project title - procurement_officer_name: name of the single point of contact / procurement officer - procurement_officer_email: procurement officer email - procurement_officer_phone: procurement officer phone - rfp_issue_date: date the RFP was issued (YYYY-MM-DD) - questions_deadline: final deadline for written questions (YYYY-MM-DD) - pre_proposal_conference_date: pre-proposal conference date (YYYY-MM-DD) - pre_proposal_conference_mandatory: is attendance at the pre-proposal conference mandatory (true/false) - proposal_due_date: final proposal due date (YYYY-MM-DD) - proposal_due_time: proposal due time incl. time zone - submission_method: how proposals must be submitted - number_of_hard_copies: number of printed hard copies required (integer, 0 if none) - technical_proposal_page_limit: page limit for the technical proposal (integer) - minimum_font_size_pt: minimum font size in points (number) - proposal_validity_days: days the proposal must remain valid (integer) - contract_term_years: initial contract term in years (integer) - renewal_options_count: number of optional renewal periods (integer) - not_to_exceed_budget_usd: not-to-exceed budget for THIS procurement in USD (number) - bid_bond_percent: bid bond as % of proposed price (number) - performance_bond_percent: performance bond as % of contract value (number) - general_liability_per_occurrence_usd: prime contractor's commercial general liability per-occurrence limit in USD (number) - cyber_liability_usd: cyber/network security liability limit in USD (number) - liquidated_damages_per_day_usd: liquidated damages per calendar day in USD (number) - go_live_date: required production go-live date (YYYY-MM-DD) - uptime_sla_percent: monthly availability SLA in percent (number) - p1_response_time_hours: vendor response time for Priority 1 / critical incidents in hours (number) - data_retention_years: years records must be retained (integer) - eval_weight_technical: evaluation weight (points or %) for technical approach - eval_weight_cost: evaluation weight for cost/price - eval_weight_experience: evaluation weight for experience/qualifications - eval_weight_local_business: evaluation weight for local business preference - min_reference_projects: minimum number of comparable reference projects required (integer) - min_years_in_business: minimum years the proposer must have been in business (integer) - dbe_goal_percent: DBE/disadvantaged business participation goal in % (number) - retainage_percent: retainage withheld from each payment in % (number) - payment_terms_days: days after approved invoice that payment is made (integer) - max_concurrent_users: number of concurrent users the system must support (integer) - asset_records_to_migrate: number of asset records to be migrated (integer) [stdin: rfp.txt, 371122 chars]

Pulling 40 fields out of a roughly 125k-token request-for-proposals document, either in one prompt or in two halves merged afterwards. The document hides three addendum overrides and several near-miss values. It measures accuracy and how the price changes when a single prompt crosses a 100k-token long-context pricing threshold. 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: Field-level accuracy ≥ 95% against a hand-labelled key.

Setup notes: Synthetic 40-field RFP (~371k chars, generated by batch2/p05/gen.py, seed 20261016) with 3 addendum overrides and 4 distractor values. Mode 'whole': whole document in one prompt via stdin. All tools disabled (pure in-context extraction). Scored automatically against answer_key.json (exact match after normalization). The input document was generated synthetically by a script (not a real RFP). Run variant: mode=whole. Claude Code's own reported cost for claude-sonnet-5.5: $0.508348. Score: 40/40. 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. Comparison on this use case: whole document in one prompt (about 132k input tokens) vs chunked (two prompts of about 71k-74k tokens, each under 100k, plus a small merge call by the same model), each on Haiku 5.5 and Sonnet 5.5. Price-cliff context: in pricing.json, a Haiku 5.5 request whose prompt is over 100,000 input tokens is billed at long-context rates (5x: $0.50/M input, $2.50/M output instead of $0.10/$0.50); Sonnet 5.5 has no long-context tier there. So only the Haiku whole-document run crosses the cliff.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost: $0.51
Wall time: 7s
Human step-ins: 0
Turns: 1

Model usage
Model	Input tok	Output tok	Cost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on	132,195	649	$0.51

Reproduce this run

Use the exact prompt shown above for this run (the use case page has the shared prompt).
Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-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: Field-level accuracy ≥ 95% against a hand-labelled key.
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

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   "output_tokens_details": {
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   "server_tool_use": {
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   "service_tier": "standard",
   "cache_creation": {
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   "inference_geo": "global",
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     "cache_creation": {
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     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
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    "cacheReadInputTokens": 6902,
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    "webSearchRequests": 0,
    "costUSD": 0.5083482,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 0,
    "canonicalModel": "claude-sonnet-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": {
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   "requested": {
    "background": 0,
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   },
   "started_in_background": 0,
   "max_depth": 0,
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  "safety_stops": 0,
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  "num_turns": 1,
  "subtype": "success",
  "api_error_status": null,
  "result": "{\"issuing_agency\":\"Harlow Valley Regional Water Authority\",\"rfp_number\":\"HVRWA-2026-0417\",\"project_title\":\"Enterprise Asset Management and Work Order System Replacement\",\"procurement_officer_name\":\"Delphine Okafor\",\"procurement_officer_email\":\"[REDACTED:email]\",\"procurement_officer_phone\":\"[REDACTED:phone]\",\"rfp_issue_date\":\"2026-11-02\",\"questions_deadline\":\"2026-11-24\",\"pre_proposal_conference_date\":\"2026-11-13\",\"pre_proposal_conference_mandatory\":false,\"proposal_due_date\":\"2026-12-22\",\"proposal_due_time\":\"2:00 PM Eastern\",\"submission_method\":\"Electronically via the Authority's eBid portal, plus two printed hard copies delivered to the Procurement Office within two business days after the deadline\",\"number_of_hard_copies\":2,\"technical_proposal_page_limit\":45,\"minimum_font_size_pt\":11,\"proposal_validity_days\":180,\"contract_term_years\":5,\"renewal_options_count\":2,\"not_to_exceed_budget_usd\":3850000,\"bid_bond_percent\":5,\"performance_bond_percent\":100,\"general_liability_per_occurrence_usd\":2000000,\"cyber_liability_usd\":5000000,\"liquidated_damages_per_day_usd\":1500,\"go_live_date\":\"2028-03-31\",\"uptime_sla_percent\":99.9,\"p1_response_time_hours\":2,\"data_retention_years\":10,\"eval_weight_technical\":45,\"eval_weight_cost\":30,\"eval_weight_experience\":15,\"eval_weight_local_business\":10,\"min_reference_projects\":3,\"min_years_in_business\":7,\"dbe_goal_percent\":12,\"retainage_percent\":10,\"payment_terms_days\":45,\"max_concurrent_users\":350,\"asset_records_to_migrate\":182000}",
  "ttft_ms": 5870,
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  "duration_ms": 5900,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 2969,
  "time_to_request_ms": 213,
  "first_content_frame_ms": 2969,
  "queued_turn_count": 0,
  "result_index": 0
 }
]