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Sonnet 5's $2/$10 intro price looks cheap until effort climbs. A decision matrix for Sonnet 5 vs Opus 4.8 vs Fable 5, with cost-per-task data by effort level.

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sonnet 5 vs opus 4.8,claude sonnet 5 pricing,which claude model to use,sonnet 5 cost per task,claude fable 5 vs opus,effort level cost,agentic coding models

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Sonnet 5 vs Opus 4.8 vs Fable 5: Which to Use When

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https://www.digitalapplied.com/blog/claude-sonnet-5-opus-4-8-fable-5-when-to-use-which-2026/article-image

Sonnet 5 vs Opus 4.8 vs Fable 5: Which to Use When - Digital Applied Blog

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self.__next_f.push([1,"22:[\"$\",\"section\",null,{\"className\":\"relative bg-white dark:bg-zinc-950\",\"children\":[\"$\",\"div\",null,{\"className\":\"mx-auto grid max-w-[1320px] grid-cols-1 gap-10 px-6 py-16 md:px-8 lg:grid-cols-[240px_minmax(0,1fr)] lg:gap-14 xl:grid-cols-[260px_minmax(0,1fr)_280px]\",\"children\":[[\"$\",\"aside\",null,{\"className\":\"sticky top-[84px] hidden self-start lg:block\",\"children\":[\"$\",\"$L31\",null,{\"items\":[{\"id\":\"takeaways\",\"label\":\"Key takeaways\",\"number\":\"00\"},{\"id\":\"lineup\",\"label\":\"Three models, three tiers\",\"number\":\"01\"},{\"id\":\"pricing\",\"label\":\"The pricing table\",\"number\":\"02\"},{\"id\":\"inversion\",\"label\":\"The cost inversion\",\"number\":\"03\"},{\"id\":\"benchmarks\",\"label\":\"Capability vs price\",\"number\":\"04\"},{\"id\":\"effort-matrix\",\"label\":\"Effort breakeven matrix\",\"number\":\"05\"},{\"id\":\"decision-matrix\",\"label\":\"Three-model decision\",\"number\":\"06\"},{\"id\":\"watch-outs\",\"label\":\"Comparison landmines\",\"number\":\"07\"},{\"id\":\"production\",\"label\":\"Routing in production\",\"number\":\"08\"},{\"id\":\"conclusion\",\"label\":\"Conclusion\",\"number\":\"09\"},{\"id\":\"faq\",\"label\":\"FAQ\",\"number\":\"10\"}]}]}],[\"$\",\"article\",null,{\"className\":\"prose-none min-w-0\",\"children\":[[\"$\",\"div\",null,{\"className\":\"$32\",\"children\":[[\"$\",\"p\",null,{\"className\":\"lede\",\"children\":\"Choosing a Claude model in July 2026 is no longer a single-axis decision. Anthropic ships three frontier tiers at once — Sonnet 5, Opus 4.8, and Fable 5 — and Sonnet 5’s headline $2/$10 introductory price makes it look like the automatic default. It often is. But the honest answer is that the cheapest per-token model is not always the cheapest per-task model, and the gap turns on one lever most teams never touch on purpose: effort.\"}],[\"$\",\"p\",null,{\"children\":\"Sonnet 5 launched on June 30, 2026 as, in Anthropic’s framing, the most agentic Sonnet model yet. Its per-token price is genuinely low — identical to Sonnet 4.6, and roughly half of Opus 4.8. Yet Anthropic’s own tokenizer produces about 30% more tokens for the same text, and independent benchmarking lab Artificial Analysis measured Sonnet 5 at a higher cost per task than Opus 4.8 on their standard-pricing index. Both things are true at once, and the reconciliation is the whole point of this guide.\"}],[\"$\",\"p\",null,{\"children\":[\"Below we lay out the three-tier lineup, recompute the pricing math from Anthropic’s published rates, and turn it into two operational tools: an effort-level breakeven matrix and a three-model decision matrix you can act on. Our earlier\",\" \",\"$L33\",\" \",\"framed it as near-Opus quality at roughly half the price; this piece adds the fuller picture — the discount narrows, and can invert, as effort climbs.\"]}]]}],\"$L34\",\"$L35\",\"$L36\",\"$L37\",\"$L38\",\"$L39\",\"$L3a\",\"$L3b\",\"$L3c\",\"$L3d\",\"$L3e\",\"$L3f\",\"$L40\",\"$L41\",\"$L42\",\"$L43\",\"$L44\",\"$L45\",\"$L46\",\"$L47\",\"$L48\",\"$L49\",\"$L4a\",\"$L4b\",\"$L4c\",\"$L4d\",\"$L4e\",\"$L4f\",\"$L50\",\"$L51\",\"$L52\",\"$L53\",\"$L54\",\"$L55\",\"$L56\",\"$L57\",\"$L58\",\"$L59\",\"$L5a\",\"$L5b\"]}],\"$L5c\"]}]}]\n"])

self.__next_f.push([1,"23:[\"$\",\"section\",null,{\"className\":\"relative isolate overflow-hidden bg-[#0a0a0b] py-20 text-white\",\"children\":[[\"$\",\"div\",null,{\"aria-hidden\":\"true\",\"className\":\"pointer-events-none absolute inset-0 [-webkit-mask-image:radial-gradient(ellipse_at_center,black_30%,transparent_75%)] [background-image:linear-gradient(rgba(255,255,255,0.03)_1px,transparent_1px),linear-gradient(90deg,rgba(255,255,255,0.03)_1px,transparent_1px)] [background-size:56px_56px] [mask-image:radial-gradient(ellipse_at_center,black_30%,transparent_75%)]\"}],[\"$\",\"div\",null,{\"aria-hidden\":\"true\",\"className\":\"pointer-events-none absolute top-1/2 left-1/2 size-[900px] -translate-x-1/2 -translate-y-1/2 blur-[30px] [background:radial-gradient(circle,rgba(255,107,26,0.18),rgba(255,107,26,0.04)_30%,transparent_65%)]\"}],[\"$\",\"div\",null,{\"className\":\"relative z-[2] mx-auto grid max-w-[1320px] items-center gap-14 px-4 md:px-8 lg:grid-cols-[1.3fr_1fr]\",\"children\":[[\"$\",\"div\",null,{\"children\":[[\"$\",\"span\",null,{\"className\":\"mb-4.5 inline-flex items-center gap-2.5 font-mono text-[11px] text-ignition uppercase tracking-[0.14em]\",\"children\":[[\"$\",\"span\",null,{\"className\":\"h-px w-5 bg-ignition\"}],\"Route the right model to the right workload\"]}],[\"$\",\"h2\",null,{\"className\":\"m-0 mb-4.5 font-light text-[clamp(30px,3.8vw,50px)] leading-[1.04] tracking-[-0.03em]\",\"children\":[\"Cost per finished task, not sticker price, is the metric that\",\" \",[\"$\",\"em\",null,{\"className\":\"bg-clip-text font-normal font-serif text-transparent italic\",\"style\":{\"backgroundImage\":\"linear-gradient(180deg, #fff 40%, var(--color-ignition-2) 80%, var(--color-ignition) 100%)\"},\"children\":\"actually decides\"}],\".\"]}],[\"$\",\"p\",null,{\"className\":\"m-0 mb-7 max-w-[520px] text-[16px] text-white/72 leading-[1.6]\",\"children\":\"We help teams benchmark Claude Sonnet 5, Opus 4.8, and Fable 5 on their own workloads, build per-task cost models, and ship model-and-effort routing into production agent infrastructure — measured on cost per finished task, not sticker price.\"}],[\"$\",\"div\",null,{\"className\":\"mb-6 flex flex-wrap gap-3\",\"children\":[[\"$\",\"$L12\",null,{\"className\":\"group relative inline-flex h-[52px] items-center justify-center gap-2 overflow-hidden rounded-lg bg-[#0a0a0b] px-7 font-medium text-[15px] text-white shadow-[0_0_0_1px_#0a0a0b,0_10px_30px_-10px_rgba(255,107,26,0.4)] transition-transform hover:-translate-y-0.5\",\"href\":\"/get-started\",\"children\":[[\"$\",\"span\",null,{\"className\":\"relative z-[1]\",\"children\":\"Get started\"}],[\"$\",\"$L5d\",null,{\"ref\":\"$undefined\",\"iconNode\":[[\"path\",{\"d\":\"M7 7h10v10\",\"key\":\"1tivn9\"}],[\"path\",{\"d\":\"M7 17 17 7\",\"key\":\"1vkiza\"}]],\"className\":\"lucide-arrow-up-right relative z-[1] size-4 transition-transform group-hover:translate-x-0.5\"}]]}],[\"$\",\"$L12\",null,{\"className\":\"inline-flex h-[52px] items-center justify-center gap-2 rounded-lg border border-white/15 bg-white/5 px-7 font-medium text-[15px] text-white transition-colors hover:border-white/30 hover:bg-white/10\",\"href\":\"/services/ai-transformation\",\"children\":\"Explore AI \u0026 digital transformation\"}]]}],[\"$\",\"div\",null,{\"className\":\"flex flex-wrap gap-x-7 gap-y-2 font-mono text-[11px] text-white/55 uppercase tracking-[0.1em]\",\"children\":[[\"$\",\"span\",\"0\",{\"className\":\"inline-flex items-center gap-2\",\"children\":[[\"$\",\"span\",null,{\"className\":\"size-1.5 rounded-full bg-ignition\"}],\"Free consultation\"]}],[\"$\",\"span\",\"1\",{\"className\":\"inline-flex items-center gap-2\",\"children\":[[\"$\",\"span\",null,{\"className\":\"size-1.5 rounded-full bg-ignition\"}],\"Expert guidance\"]}],[\"$\",\"span\",\"2\",{\"className\":\"inline-flex items-center gap-2\",\"children\":[[\"$\",\"span\",null,{\"className\":\"size-1.5 rounded-full bg-ignition\"}],\"Tailored solutions\"]}]]}]]}],[\"$\",\"div\",null,{\"className\":\"relative overflow-hidden rounded-2xl border border-white/10 bg-white/[0.04] p-7\",\"children\":[\"$L5e\",\"$L5f\",\"$L60\",\"$L61\"]}]]}]]}]\n"])

self.__next_f.push([1,"24:[\"$\",\"$L62\",null,{\"eyebrow\":\"FAQ · Which Claude model to use\",\"id\":\"faq\",\"items\":[{\"question\":\"Is Claude Sonnet 5 actually cheaper than Opus 4.8?\",\"answer\":\"On per-token price, yes: Sonnet 5 lists at $2/$10 per million during its introductory window (through August 31, 2026) and $3/$15 afterward, versus Opus 4.8 at $5/$25. But per finished task the picture is more nuanced. Independent lab Artificial Analysis measured Sonnet 5 at about $2.29 per task versus roughly $1.99 for Opus 4.8 on their Intelligence Index at standard pricing — about 15% higher — because Sonnet 5 emits more tokens per task. Crucially, that is a blended-effort average. At low and medium effort Sonnet 5 stays genuinely cheaper; the inversion only appears at high and max effort. So the answer depends entirely on how hard you push the effort dial.\"},{\"question\":\"What is the Sonnet 5 tokenizer tax?\",\"answer\":\"Anthropic updated its tokenizer, and it produces approximately 30% more tokens for the same input text than Sonnet 4.6's tokenizer did. This is not an API change — the text is identical, but it counts as more tokens, which raises the effective cost for the same work. The change applies across Opus 4.7 and later, Fable 5, and the Mythos models too. Some secondary coverage describes the expansion as a 1.0 to 1.35x range depending on content type; Anthropic's headline ~30% sits in the middle of that range, so treat the range as the mechanism behind the single figure rather than a conflicting number. It is the main reason a lower per-token price does not automatically mean a lower per-task bill.\"},{\"question\":\"When does the Sonnet 5 introductory price end?\",\"answer\":\"The $2 per million input and $10 per million output introductory rate runs through August 31, 2026. From September 1, 2026 the standard rate of $3 input and $15 output applies — the same per-token price as Sonnet 4.6. Anthropic describes the introductory pricing as calibrated to make migrating from Sonnet 4.6 roughly cost-neutral despite the tokenizer's extra tokens, so it is best understood as offsetting the token expansion rather than a straight discount. If you are running high-volume Sonnet 5 work, the intro window is the cheapest it will be, and it is worth modelling your spend at both the intro and standard rates before you commit.\"},{\"question\":\"Which model should I use for correctness-critical coding?\",\"answer\":\"Opus 4.8, at high or max effort. It leads the agentic-coding benchmarks — 69.2% on SWE-bench Pro versus Sonnet 5's 63.2% — and at high and max effort it also comes in cheaper per task than Sonnet 5 for comparable quality, according to Artificial Analysis's blended measurement and independent effort-band analysis. Opus 4.8 also offers Dynamic Workflows, where Claude plans a large task, fans out potentially hundreds of parallel subagents, and verifies their output against a test suite — designed for hundred-thousand-line refactors rather than routine single-agent tasks. For everyday coding at low or medium effort, though, Sonnet 5 is the more economical choice.\"},{\"question\":\"When is Fable 5 worth double the price of Opus 4.8?\",\"answer\":\"Fable 5 costs $10/$50 per million, double Opus 4.8. Anthropic states that the longer and more complex the task, the larger Fable 5's lead over its other models — so its edge is explicitly long-horizon planning and reasoning, not routine agentic-coding throughput. Reserve it for genuinely multi-day or highly complex tasks where the horizon itself is the differentiator and the premium is justified by the outcome. Note that Fable 5 ships with safety classifiers for cybersecurity, biology and chemistry, and distillation; when a request trips one, it is automatically answered by Opus 4.8 instead, which Anthropic reports happens in fewer than 5% of sessions. For most coding and knowledge work, Opus 4.8 or Sonnet 5 will be the better value.\"},{\"question\":\"What are effort levels and why do they matter for cost?\",\"answer\":\"Sonnet 5 and Opus 4.8 both expose five effort levels — low, medium, high, xhigh, and max — which replace the older manual budget_tokens parameter (now a 400 error on both models). Effort controls how much reasoning and how many conversational turns the model spends on a task. It matters for cost because the swing is large: Artificial Analysis found max effort uses roughly six times the turns of low effort on GDPval-AA. That six-fold range is bigger than the roughly two-fold per-token price gap between Sonnet 5 and Opus 4.8, which makes effort the primary cost lever and model choice the secondary one. Setting effort deliberately, per task, is the single highest-leverage cost decision most teams overlook.\"},{\"question\":\"How do the three models compare on benchmarks?\",\"answer\":\"On SWE-bench Pro agentic coding: Sonnet 4.6 scores 58.1%, Sonnet 5 63.2%, and Opus 4.8 69.2%, with Fable 5 highest at an Anthropic-reported 80.3%. On Terminal-Bench 2.1, Opus 4.8 leads narrowly at 82.7% over Sonnet 5's 80.4%. On agentic knowledge work (GDPval-AA v2) the two are effectively tied — Sonnet 5 1,618 versus Opus 4.8 1,615 — and on Humanity's Last Exam with tools they are within noise at 57.4% and 57.9%. The pattern: Opus 4.8's edge is real but concentrated on the hardest coding, and negligible or reversed on knowledge work. One caution — do not compare the GDPval-AA v2 figures against the older GDPval-AA numbers from earlier launches; they appear to be different scales.\"},{\"question\":\"Does Sonnet 5 refuse certain requests?\",\"answer\":\"Yes. Sonnet 5 is the first Sonnet-tier model to ship with real-time cybersecurity safeguards. Requests that touch prohibited or high-risk cyber topics may be refused, and the refusal is returned as an HTTP 200 response with stop_reason set to 'refusal' rather than as an API error — so your integration should handle that stop reason explicitly rather than treating it as a failure. Two other launch-day behavior changes are worth knowing: adaptive thinking is on by default (Sonnet 4.6 ran without thinking unless requested), and manual sampling-parameter and budget_tokens control has been removed. If your workload brushes security-adjacent topics, test the refusal behavior before relying on the model in production.\"}],\"title\":\"$L63\"}]\n"])

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Requests	IP Address	Location	AS Autonomous System
20	216.150.1.193	United States	AS16509Amazon.com, Inc.
19	192.178.183.97Google · CDN	United States	AS15169Google LLC
39	2	-	-

Security Scan Report: www.digitalapplied.com

Summary

AI Security Verdict

Safe Website

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History