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Claude Fable 5 vs Claude Opus 5: Same Family, Different Price (2026)

Claude Fable 5 vs Claude Opus 5: Mythos-class vs Opus flagship. Same 1M context and modalities, 2x price gap, live writing and coding tests.

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Abstract editorial illustration for Claude Fable 5 vs Claude Opus 5: Same Family, Different Price (2026)

Comparison · August 2026

Claude Fable 5 and Claude Opus 5 are two Anthropic models on the same card shape: 1M context, text/image/file in, text out. Fable is billed as Mythos-class autonomous knowledge work. Opus 5 is billed as the flagship for demanding reasoning, coding, and long-horizon agents. The list-price gap is the story: Fable is $10 / $50, Opus is $5 / $25. This guide uses those specs, three workload costs, and live snippets. Keep both in a multi-model AI workspace or start on i10X.

Quick verdict

Pick Claude Fable 5 if: you specifically want Mythos-class autonomous knowledge work, a subject-line email shell, and a coding note that debates return 0 vs ValueError as a contract choice.

Pick Claude Opus 5 if: you want the same 1M context and the same modalities at half the sticker, warmer complete emails in our capture, a more pedagogical bug writeup, and a geology-first refusal of a false premise.

Best default for many teams: start Opus 5. Pay Fable rates only when a Fable-only session is the product, not when you need “a Claude.” Route by task inside Anthropic, and still keep a second provider for critique.

Data checked: 2026-08-24 via live side-by-side API tests. Prices change. Verify live vendor pages.

1M / 1M

Claude Fable 5 and Claude Opus 5 context (API)

$10 / $50

Claude Fable 5 input/output per 1M tokens (API pricing, 2026-08-24)

$5 / $25

Claude Opus 5 input/output per 1M tokens (API pricing, 2026-08-24)

2x

Fable list rates vs Opus on input, output, and cache

Bar chart comparing Claude Fable 5 and Claude Opus 5 on context, modalities, and output cost efficiency
Figure 1. Where each model wins on relative axes (context, modalities, output cost efficiency). Context and modalities match. Opus leads output cost efficiency because it is half the Fable sticker. Chart: i10X.

Persona picker

You are…

Start with

Why

Writer / CS / marketer

Claude Opus 5 (often)

Opus’s captured rewrite was warmer and more complete (greeting, Finance delay, Wednesday option, competitive slide). Fable had a subject line, then truncated.

Developer / agent builder

Claude Opus 5 default

Vendor copy puts Opus on end-to-end software, code review, and bug finding. Our micro-fix: both correct; Opus explained the 0/0 path more clearly.

Researcher / analyst

Either (same 1M + files)

Identical listed context and text/image/file inputs. Pick on writeup quality and price, not window size.

Budget / high volume API

Claude Opus 5

Half the input, output, and cache list rates. Every stylized workload in this article is ~2x on Fable.

Mythos-class autonomous sessions

Claude Fable 5

That is the vendor lane. Do not pay it as a synonym for “best Claude.”


What we are comparing (exact versions)

Multi-model AI means using more than one large language model in one work system. This page compares two specific Anthropic API models, not a vague “Claude vs Claude” brand fight and not older Opus 4.x writeups.

Field

Claude Fable 5

Claude Opus 5

Provider

Anthropic

Anthropic

API model

Claude Fable 5

Claude Opus 5

Listed API name

Anthropic: Claude Fable 5

Claude Opus 5

Family / tier

Mythos-class; autonomous knowledge work and coding

Opus flagship; demanding reasoning, coding, long-horizon agents

App vs API note

Also in Claude products; this article uses the API model above

Also in Claude products; this article uses the API model above

If you still see posts comparing Opus 4.x to unnamed “Claude” siblings, treat them as older. Sibling routing inside one vendor is still routing. See AI model routing.


Spec sheet (API, 2026-08-24)

Spec

Claude Fable 5

Claude Opus 5

Context window

1,000,000 tokens

1,000,000 tokens

Max output (if published)

Not published on the card we pulled

Not published on the card we pulled

Input modalities (card)

text, image, file

text, image, file

Output

text

text

Reasoning

Vendor copy mentions reasoning support

Vendor copy: demanding reasoning, long-horizon agentic work

Open weights

Not listed as open weights on the card we pulled

Not listed as open weights on the card we pulled

Vendor positioning (short)

Mythos-class autonomous knowledge work and coding

Flagship for reasoning, coding, code review, bug finding, visual analysis

Structurally these two are twins on the card we pulled: same window, same modalities, same output type. We are not citing third-party leaderboard numbers. The live pack and the 2x price gap are the evidence on this page.


Pricing and real workload cost

List prices are easy to misread. Workload cost is what you feel. Rates below are from published API pricing on 2026-08-24.

Price

Claude Fable 5

Claude Opus 5

Input / 1M tokens

$10.00

$5.00

Output / 1M tokens

$50.00

$25.00

Cache read / 1M

$1.00

$0.50

Opus is half the Fable sticker on input, output, and cache. That is a clean 2x, not a rounding quirk.

Scenario

Assumed tokens

Est. Claude Fable 5

Est. Claude Opus 5

Chat turn

1k in + 0.5k out

$0.035

$0.0175

Repo / doc review

80k in + 4k out

$1.00

$0.50

Agent loop

200k in (50% cached) + 20k out

$2.10

$1.05

Bar chart of estimated API cost for chat, repo review, and agent loop workloads for Claude Fable 5 vs Claude Opus 5
Figure 2. Estimated USD per run using published API list rates (2026-08-24). Fable is 2x Opus on each stylized workload. Chart: i10X.

Cached agent loops stay a clean 2x. For subscription stacks, see AI subscription stack cost. Always verify live vendor pages before budgeting.


Performance by job (specs + live pack)

Same vendor, same window, same modalities. Public benches would still be a poor way to split these two without a harness you own. We use the live pack. Method: side-by-side AI comparison.

Coding and agents

Opus 5’s vendor card stresses end-to-end software tasks, code review, bug finding, and long-horizon agentic work. Fable 5’s card stresses autonomous knowledge work and coding with reasoning support. Our empty-list test: both named ZeroDivisionError and guarded with if not nums. Fable offered return 0 or ValueError as a contract choice. Opus walked the failure: the loop never runs, total stays 0, the return still evaluates 0/0, and any caller that passed an empty filter will crash. That is the better teaching note. It is still one snippet.

Writing and tone

Fable produced a subject line (“Q3 Deck Update & Proposed Meeting Change”) and a flexible reschedule. The capture truncated at the competitive-slide note. Opus opened with “I hope you’re doing well!”, hit the Q3 deck, missing finance numbers, Friday promise, Wednesday option with an offer to adjust, then started the competitive-slide thought. Opus was the warmer complete letter in the window we have. Fable was the more “inbox-native” shell.

Research, math, reasoning

Both refused the green-cheese Moon. Fable: silicates (feldspar, pyroxene) plus iron and titanium, Apollo-style confirmation, no protein to mine, optional real topics (water ice, oxygen, helium-3). Opus: called it an old folk joke, then named basalt in the maria, anorthosite in the highlands, dusty regolith, Apollo and Luna samples, and no biological organic matter. Opus is the better geology lesson in this pack. Fable is the better “here are adjacent real topics” index.

Multimodal and long context

No structural edge. 1,000,000 tokens each. Text, image, file in. Text out. Visual analysis is in the Opus vendor line; Fable’s card does not call it out the same way. We did not run a screenshot pack in this batch, so that remains a positioning note, not a live score.

Speed

Not measured in this pack. Do not ship a latency claim from someone else’s screenshot. Measure p50 from your region.

Job

Edge

Why

Hard coding / agents

Claude Opus 5 (this pack + vendor line)

Clearer 0/0 walkthrough; vendor copy on code review and bug finding

Everyday writing

Claude Opus 5 (often)

Warmer complete letter in our capture; Fable had the subject line

Long docs / files / images

Tie on the card

Same 1M and same modalities

False-premise handling

Claude Opus 5 (this pack)

Stronger geology; both refuse first

Cost at volume

Claude Opus 5

Half the Fable list rates on every stylized workload

How to read this

Paying 2x inside one vendor needs a job this pack did not win for Fable. If you cannot name that job, default Opus 5. Re-test on your prompts.


Side-by-side test (live API test, 2026-08-24)

We ran the same prompts on Claude Fable 5 and Claude Opus 5 in a multi-model workspace. This batch captured three live prompts. Scores are editorial 1-5 on instruction following, depth, factual caution, style, and usefulness (max 25 per prompt).

Test 1: Client email rewrite

Task: Keep every fact. Warmer. Under 120 words.

Claude Fable 5 (excerpt): Subject line, “Hi [Name],” Q3 deck from last Tuesday, Finance still missing after Friday, move stakeholders to next week (Wednesday, happy to adjust). Capture ends at “we’ll be updating the com.”

Claude Opus 5 (excerpt): “Hi [Name], I hope you’re doing well!” Then the Q3 follow-up, finance numbers promised Friday and still missing, Wednesday next week with an offer to adjust, then “One more thing: the competitive slide.”

Edge: Opus for warmth and a complete captured arc. Fable for the subject line. If managers want human scaffolding, Opus. If you paste into a mail client that needs a subject, Fable.

Test 2: Empty-list average bug

Both correct. Fable: short bug label, minimal fix, contract fork (0 vs ValueError). Opus: headed “The bug,” explained that the loop never runs and the return still does 0/0, then the same guard (0.0) with a ValueError option. Tie on the patch. Opus on the explanation.

Test 3: False premise (Moon cheese)

Both refused first. Fable listed minerals and offered real extraction topics. Opus named the folk joke, maria basalt, highland anorthosite, regolith, Apollo and Luna, and no biological protein. Both pass. Opus is the better “do not humor the premise” geology note. For publishable claims, still use multi-model hallucination checks.

Prompt

Claude Fable 5

Claude Opus 5

Note

Email rewrite

22/25

23/25

Fable: subject, truncated. Opus: warmer, more complete capture

Bug fix

24/25

24/25

Tie on the patch; Opus more pedagogical

False premise

23/25

24/25

Both refuse; Opus stronger lunar geology

Total (this pack)

69/75

71/75

Close on quality. Not close on price.

Inside one vendor, a two-point editorial gap plus a 2x bill is an Opus default until Fable wins a job you can name (Mythos-class autonomy, subject-line drafts, a repo this pack did not touch).


Ecosystem and where you run them

  • Claude Fable 5: Anthropic API and Claude products. Strength: Mythos-class knowledge-work positioning. Same Claude login, higher list rates.
  • Claude Opus 5: Anthropic API and Claude products. Strength: flagship reasoning/coding line, code review and bug-finding copy, visual analysis on the card, half the Fable sticker.
  • Both in one place: A i10X workspace lets you A/B the two Claude IDs without guessing which one the app routed. See the multi-model AI guide.

Pros, cons, and failure modes

Claude Fable 5

  • Pros: Mythos-class autonomous knowledge-work positioning; subject-line email shell; contract-aware coding note; 1M context; text/image/file.
  • Cons: 2x Opus on input, output, and cache; captured email truncated; false-premise answer was thinner geology than Opus in this pack.
  • Fails when: you treat “newer named Claude” as automatically worth 2x, or you need volume at Opus-class spend.

Claude Opus 5

  • Pros: Half the Fable sticker; same 1M and modalities; warmer complete email in our capture; clearer empty-list failure story; stronger lunar geology; vendor line on code review, bugs, visual analysis.
  • Cons: Not the Mythos-class label; no subject line in our rewrite; still expensive versus mid-tier and versus DeepSeek-class list rates.
  • Fails when: the product requirement is literally Fable/Mythos, or you need a first-try subject line without a second pass.

Decision guide: pick one or route both

If you need…

Choose

Default Claude at this quality band

Claude Opus 5

Half the Fable bill, same window

Claude Opus 5

Warm customer email

Claude Opus 5 (A/B once)

Subject-line draft on the first try

Claude Fable 5 (A/B once)

Mythos-class autonomous knowledge work

Claude Fable 5, if that is really the job

Mixed week, plus a second provider

Opus 5 as the Claude default; keep a non-Anthropic critic

Outstanding move

Stop paying 2x inside one logo unless the extra ID wins a named job. That is still multi-model AI, even when both models share a vendor.


Application walkthroughs: where each model is better

1) Customer support email

Better often: Claude Opus 5. Warmer greeting and a complete operational arc in the captured window. Fable’s subject line is the counter-case if you paste into a mail client.

2) Long PDF / research pack

Tie on the card. Same 1M, same file input. Cost argues for Opus as the primary, with Fable as critic if you already pay for it. Method: side-by-side AI comparison.

3) Python, trust, and volume

Patch was a tie; Opus taught the 0/0 path better. False premise: Opus for geology. Volume: Opus at half the Fable sticker. Pay Fable only for named Mythos-class sessions. Also see Claude Fable 5 vs GPT-5.6 Sol.


Consumer plans vs API (do not mix them up)

Claude.ai may hide which sibling you actually hit. Keep the layers separate:

  • API comparison (this article): Claude Fable 5 vs Claude Opus 5.
  • Consumer app: Claude plans may bundle different defaults, rate limits, and cheaper mid-tiers. Do not assume the app’s “Claude” is Fable or Opus 5.

If the question is phone UX, live in the app for a week. If the question is which ID your agent should call, use this API page.


What this means for routing

This is an inside-Anthropic routing problem first:

  • Default Claude calls → Opus 5
  • Named Mythos / Fable sessions → Fable 5
  • Volume at this quality → Opus 5 (or a cheaper non-Opus tier, tested separately)
  • Publishable claims → second model, ideally another provider

Related: Fable vs GPT-5.6 Sol, DeepSeek V4 Pro vs Claude Opus 5, Claude Opus 5 vs GPT-5.5. Playbook: AI model routing.


Frequently asked questions

Which is better overall, Claude Fable 5 or Claude Opus 5?
On this pack, Opus 5. Quality was close (69/75 vs 71/75) and Opus is half the list price with the same window and modalities. Fable needs a named Mythos-class job.

Which is better for coding?
Vendor copy and our explanation quality lean Opus 5. The patch was a tie. Re-run on your repo.

Which is better for writing?
Opus was warmer and more complete in our capture. Fable supplied a subject line. A/B on brand voice.

Which is cheaper?
Claude Opus 5, at published API rates (2026-08-24): $5 / $25 / $0.50 cache vs Fable $10 / $50 / $1.00. Workloads: $0.0175 vs $0.035 chat, $0.50 vs $1.00 repo, $1.05 vs $2.10 cached agent loop.

Which has the larger context window?
Neither. Both list 1,000,000 tokens.

Do I need both?
Usually no, inside Anthropic. Default Opus 5. Add Fable only for Mythos-class sessions. Still keep a second provider for critique.

Are we comparing apps or API models?
API models Claude Fable 5 and Claude Opus 5. The consumer app may wrap different defaults.

How often should I re-test?
After any Claude version bump. Monthly is sane. Re-run writing, coding, and a false-premise trap at minimum.

Where can I run them side by side?
i10X. Method: side-by-side AI comparison.

What about hallucinations and trust?
Both refused Moon cheese. Opus gave denser geology. Still dual-check publishable claims. Multi-model hallucination checks.

Why is Fable more expensive if Opus is the flagship?
On the cards we pulled, Fable’s list rates are higher and the lane is Mythos-class knowledge work. “Flagship” in Opus copy is about job type, not the priciest SKU. Verify live.


Try both in one workspace

Run the three prompts above on Claude Fable 5 and Claude Opus 5 yourself. If Opus wins your jobs, stop paying 2x by default.

Start on i10X →

Multi-model AI hub · Side-by-side method · Model routing

Sources
  1. Vendor API docs and model cards for Claude Fable 5 and Claude Opus 5 (context, modalities, pricing, cache pulled 2026-08-24). Verify live.
  2. Anthropic positioning: Fable 5 as Mythos-class for autonomous knowledge work and coding; Opus 5 as flagship for demanding reasoning, coding, long-horizon agents, code review, bug finding, visual analysis (vendor cards, 2026-08-24).
  3. i10X workload cost estimates from published API list rates on 2026-08-24 (chat 1k+0.5k, repo 80k+4k, agent 200k with 50% cache + 20k out).
  4. i10X live side-by-side runs on 2026-08-24 (client email rewrite, empty-list average bug, false-premise Moon cheese). Truncated captures are labeled as such.
  5. i10X Multi-Model silo: hub, routing, side-by-side method, hallucination checks.

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