model-cost-compare · git:20260929.8ac221d · 2026-09-29 · sha256 9fa7aa14c37e6112
model-cost-compare git:20260929.8ac221dA
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--- name: model-cost-compare disable-model-invocation: true description: "Starter: compare model costs for a described task — maps task shape to the cheapest adequate seat and shows the price spread" --- # Model Cost Comparison (Starter Pack) Answer "which model should I use for this, and what will it cost?" with numbers instead of vibes. ## When to use The user describes a task (bulk refactor, deep review, quick lookup, long-context analysis) and wants the cheapest seat that is still adequate. ## Steps 1. **Classify the task.** Bucket it: mechanical (rename, format), standard coding, hard reasoning (architecture, security review), long-context (>200K tokens input), or web research. 2. **Estimate volume.** Rough input/output token estimate from the described scope (files touched × average size; state the assumption). 3. **Price the roster.** Using the cost table in CLAUDE.md ($/MTok input/output), compute the estimated cost for each plausible seat: Claude Opus 5.5 (\$4/\$20), Claude Opus 5 (\$5/\$25), Claude Sonnet 5 (\$2/\$10), Fable 5.1 (\$10/\$50, 1M context, explicit-only), Codex GPT-5.6 Sol (\$4/\$20), Terra (\$2/\$12), Luna (\$0.20/\$1.20), GPT-6 Astra (\$10/\$50, explicit-only), Perplexity Sonar Pro (\$3/\$15), and the included-cost seats (agy, copilot, ollama, cursor-agent) at \$0. For Astra requests above 272K input tokens, apply 2x input and 1.5x output pricing to the full request. 4. **Recommend one seat.** Pick the cheapest adequate option and defend it in two sentences. Mechanical work goes to included or budget seats; hard reasoning justifies the current Opus default at `high` effort; only a bounded judgment-class call (ambiguous architecture, API design, product tradeoffs) justifies Fable 5.1 at \$10/\$50 per MTok. 5. **Check risk surfaces.** Regardless of the classification, escalate specifically to the current Opus default—Opus 5.5 on Claude Code v2.1.280+, otherwise Opus 5—when the task touches API or schema contracts, security-sensitive code or CI configuration, release artifacts, user-facing UI, a new module, or a breaking change. Fable 5.1 remains limited to bounded judgment-class calls and is never the security-audit seat. Astra is also explicit-only and does not provide independence from GPT-5.6. Cheap-seat agreement never settles a judgment-class decision. 6. **Show the spread.** A three-row table: recommended seat, one cheaper-but-riskier option, one premium option, each with estimated dollars for this task. ## Guardrails - Never recommend Fable 5.1, Astra, or fast-mode Opus by default; these premium seats are opt-in only. - Never recommend Fable 5.1 for security audits; its safety classifiers can refuse offensive-security phrasing. Security review goes to Opus 5 (see `skills/blocks/fable5-prompting.md`). - If the estimate exceeds \$1, say so explicitly before any dispatch happens.