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Claude Fable 5.1 vs Opus 5.5: Benchmarks, Cost & Verdict

Fable 5.1 vs Opus 5.5: Opus wins all 9 launch benchmarks and ties Fable at default effort for a third of the cost per task. See when Fable is worth it.

Bhavyadeep
Written by
Bhavyadeep
Saurabh Anand
Reviewed by
Saurabh Anand
Last updated: 
September 24, 2026
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Table of Contents

TL;DR

  • In the Fable 5.1 vs Opus 5.5 matchup, Opus 5.5 wins all nine benchmarks Anthropic published at launch, but three of those margins are 2.1 points or less, and Anthropic itself says the real-world gap is narrower.
  • On Artificial Analysis's independent index, the two models tie at their default API settings (51 each), and Opus 5.5 gets there for about a third of the cost per task ($1.34 vs $3.91).
  • Opus 5.5 lists at $4/$20 per 1M tokens against Fable 5.1's $10/$50. That is 60% cheaper on input and output, but only 20% cheaper on cache reads.
  • Fable 5.1 is still worth testing on hard, open-ended problems Opus can't crack at higher effort, and on security research that Opus 5.5's safeguards route to an older model.
  • Default to Opus 5.5. Reach for Fable 5.1 when Opus at higher effort falls short, which is Anthropic's own advice.


Fable 5.1 vs Opus 5.5 looks like a lopsided fight on paper. Anthropic launched Opus 5.5 on September 22, 2026, and its launch table puts the cheaper model ahead of Fable 5.1 on every row. Developer forums quickly asked the obvious question: if the $4 model wins everything, why keep paying for the $10 one?

The benchmark sweep overstates the gap. Independent testing puts the two models level at their default settings, and Fable 5.1 still holds a narrow, real set of jobs where it is the better call.

This guide separates Anthropic's numbers from independent ones, compares cost per task instead of cost per token, and ends with a plain rule for choosing.

Fable 5.1 vs Opus 5.5 at a glance: same core specs, a 2.5x price gap

Fable 5.1 launched on September 1, three weeks before Opus 5.5, and the two models share a context window, an output limit, and a knowledge cutoff. What separates them is price and the kind of work Anthropic built each one for.

Table 1: Claude Fable 5.1 and Claude Opus 5.5 specifications and API list pricing, as of September 2026. Sources: Claude Platform documentation and Anthropic launch posts.

Spec Claude Fable 5.1 Claude Opus 5.5
Released September 1, 2026 September 22, 2026
API model ID claude-fable-5-1 claude-opus-5-5
Anthropic's positioning Demanding reasoning and long-horizon agentic work Long-running agentic coding and knowledge work
Input / output per 1M tokens $10 / $50 $4 / $20
Cache reads per 1M tokens $0.25 $0.20
5-minute cache writes per 1M tokens $12.50 $5
Batch input / output per 1M tokens $5 / $25 $2 / $10
Fast mode Not offered $8 / $40
Context window 1M tokens 1M tokens
Max output 128K tokens 128K tokens
Reliable knowledge cutoff June 2026 June 2026
Thinking Adaptive, always on Adaptive, always on
Default API effort High Medium
Comparative latency (per Anthropic) Slower Moderate
Zero data retention For eligible customers, until Enterprise Frontier Safeguards roll out Available

With the headline context, output, and knowledge-cutoff specs identical, the decision comes down to whether Fable 5.1's results justify paying 2.5 times as much per input and output token.

Opus 5.5 wins all 9 launch benchmarks, but the gap is thinner than it looks

Opus 5.5 scores higher than Fable 5.1 on every benchmark in Anthropic's launch table. Only Terminal-Bench 4.0 pairs a large lead with a published error margin it clears comfortably.

Table 2: Claude Opus 5.5 vs Claude Fable 5.1 on Anthropic's launch benchmarks, vendor-reported. Source: Anthropic, "Introducing Claude Opus 5.5."

Benchmark Opus 5.5 Fable 5.1 Gap
Terminal-Bench 4.0 (agentic coding) 66.4% 55.8% +10.6
FrontierCode v1.1 Main (agentic coding) 54.4% 50.3% +4.1
CursorBench 4.0 (agentic coding) 57.8% 51.8% +6.0
GDPval-AA v2.1 (knowledge work, Elo) 1846 1735 +111
AutomationBench (business workflows) 40.0% 31.4% +8.6
Humanity's Last Exam (with tools) 67.7% 65.6% +2.1
Terminal-Bench-Science 0.1 (agentic science) 58.7% 52.6% +6.1
OSWorld 2.0 (computer use, partial credit) 81.8% 80.7% +1.1
Chartography (visual reasoning, with tools) 89.0% 88.4% +0.6

Keep four things in mind when reading this table:

  • Terminal-Bench 4.0 has the clearest disclosed margin: the published standard error is ±2.6 points for Opus 5.5 and ±1.6 to 2 points for the other Claude models, so its 10.6-point lead sits well outside the noise. Only one other row, Terminal-Bench-Science, has a published error margin, and its 6.1-point gap sits against ±3.5 to 5 points per model. The remaining rows carry no published uncertainty, so read the small gaps on Chartography, OSWorld 2.0, and Humanity's Last Exam (2.1 points or less) with care.
  • The settings aren't fully matched: Opus 5.5 ran at max effort on everything except Terminal-Bench 4.0, which used xhigh, and Anthropic doesn't state the effort level used for Fable 5.1. Opus 5.5 also ran with its production safeguards on, so some cybersecurity tasks were completed by Opus 4.8 and some biology tasks by Opus 5, which Anthropic says likely lowered its scores.
  • Anthropic says the real gap is smaller: at this capability level, it says benchmark margins have become a weaker guide to real-world differences, and the gap between the two models is narrower than the scores suggest.
  • Fable 5.1's own launch table isn't comparable: that earlier post used different benchmark versions, including GDPval-AA v2 and CursorBench 3.2.0, so don't mix its Fable figures with the rows above.

At default settings, Fable 5.1 and Opus 5.5 score the same

On independent testing, the two models tie when each runs at its default effort. The Artificial Analysis comparison scores both models at every effort level on the same harness, which makes it the fairest head-to-head available. Its cost per task is a weighted average across the tasks in its Intelligence Index, so read it as a like-for-like benchmark cost, not a forecast of your own bill.

Table 3: Artificial Analysis Intelligence Index v4.3.2 and weighted average cost per index task at each effort level, independently verified, as of September 2026. Default API efforts are medium for Opus 5.5 and high for Fable 5.1. Source: Artificial Analysis.

Effort level Opus 5.5 score Opus 5.5 cost per task Fable 5.1 score Fable 5.1 cost per task
Low 42 $0.55 47 $2.37
Medium 51 $1.34 49 $2.98
High 54 $1.82 51 $3.91
Xhigh 56 $3.46 53 $5.98
Max 58 $5.98 53 $7.63

Three results matter most.

  • The defaults tie: Opus 5.5 at medium and Fable 5.1 at high both score 51. Opus gets there for $1.34 per task against $3.91, about a third of the cost.
  • Opus 5.5 at high beats Fable 5.1 at max: a score of 54 for $1.82 per task tops Fable's best of 53 at $7.63, roughly a quarter of the price.
  • Fable 5.1 wins at the bottom of the ladder: at low effort it scores 47 to Opus 5.5's 42, the only rung where Fable leads, though at more than four times the cost per task.

The ladder also shows where Fable tops out. Its xhigh and max settings both land at 53, while Opus 5.5 keeps climbing to 58. Opus 5.5 is also faster: Artificial Analysis measured Opus 5.5 at 78 output tokens per second at medium effort, against 56 for Fable 5.1 at high.

That settles one of the most-searched questions about this pair. Fable 5.1 at medium effort (49) does not beat Opus 5.5 at high effort (54), and it costs more per task.

Opus 5.5 costs about a third as much per task at default settings

Per token, Opus 5.5 is 60% cheaper than Fable 5.1 on input and output. Per task at default settings, the gap is wider, because Opus also finishes the same work in fewer tokens.

The cache line is the exception worth knowing. Cache reads cost $0.20 per million tokens on Opus 5.5 and $0.25 on Fable 5.1, only 20% apart. The reason is pricing: Fable 5.1's cache hits cost 2.5% of its input price, against the standard 10%. Agents that re-read a large context on every turn spend most of their budget on cache reads, so their per-token savings from switching are smaller than the headline suggests.

To make that concrete, here is one cache-heavy agent session priced at both models' list rates with identical token counts.

Table 4: Worked cost for one session with 200,000 uncached input tokens, 1.8M cache-read tokens, and 150,000 output tokens. Cache-write fees excluded. Calculated from Anthropic list pricing as of September 2026.

Cost component Opus 5.5 Fable 5.1
Uncached input (200K) $0.80 $2.00
Cache reads (1.8M) $0.36 $0.45
Output (150K) $3.00 $7.50
Session total $4.16 $9.95

At identical token counts, Opus 5.5 comes in about 58% cheaper. In practice it also uses fewer output tokens at its default setting, which is why the independent per-task gap is closer to two thirds. For the full rate card and caching math, see our Fable 5.1 pricing breakdown.

One number circulating in launch coverage needs correcting. The launch-post claim that Opus 5.5 costs about 40% less to run compared with Opus 5, not with Fable 5.1. Some launch coverage blurred the two, and the real Fable comparison is the steeper one shown above.

Same-task tests favor Opus 5.5 on speed and reliability

When both models attempted the same real job, Opus 5.5 matched or beat Fable 5.1 on quality, and finished the migration faster and for less. These are the most direct comparisons available, since both models faced the same task and the same grader, though Anthropic designed and ran both tests.

Two direct comparisons come from Anthropic's launch post, both vendor-reported:

  • Code migration: both models translated HAProxy, widely used traffic-balancing software, from C into Rust. Both rewrites passed nearly all of HAProxy's own regression tests, but Opus 5.5 finished in 9.5 hours against 12 for Fable 5.1, and cost 51% less.
  • Research reports: each model wrote a quarterly earnings report from a copy of the web where the source release was hard to find, with a grader checking every figure and quote. Across effort settings, 16 of 18 Opus 5.5 reports passed. Fable 5.1 did not pass the bar in any attempt.

Independent coding results point the same way. On Snorkel AI's task set of expert-built terminal tasks, Opus 5.5 passed 68% of its task attempts against 49% for Fable 5.1. Snorkel found the two models fail differently: Fable 5.1 tended to stop early or fail to recover from errors mid-run, while Opus 5.5's most common failure was a malformed first response that its test harness could not parse.

Also read our Claude Fable 5.1 vs Opus 5 breakdown to see how the two compare on the same tasks before you commit to either.

Fable 5.1 is worth testing for three kinds of work

Fable 5.1 is the better pick for a short list of jobs. Anthropic's documentation names the first, independent testing supports the second, and Anthropic's safeguard policies explain the third. The evidence for each is thinner than the benchmark table, so treat these as reasons to test Fable rather than guarantees.

1. Fable 5.1 is the fallback when Opus 5.5 falls short at higher effort

Anthropic's model selection guidance says to start with Opus 5.5 for most workloads and use Fable 5.1 for demanding reasoning and long-horizon agentic work, or when your evaluations on Opus 5.5 at higher effort still fall short. That last condition is the practical test: treat Fable 5.1 as the model you try after Opus has had a fair attempt at high or xhigh effort.

The launch examples for Fable 5.1 fit that profile. Investment firm Millennium, quoted by Anthropic, reported that Fable 5.1 found the cause of a rare crash its engineers had failed to explain for years, after every other model it tried had missed it.

2. Fable 5.1 scores slightly higher at low effort

Fable 5.1 holds a small edge when the model gets one quick try. It leads Opus 5.5 at low effort on the Artificial Analysis index, 47 to 42. Separately, Snorkel measured it nominally ahead on first-attempt pass rate, 61.5% to 60.7%, though Snorkel doesn't state the effort setting it used. Both leads are narrow, and the low-effort one costs more than four times as much per task, so this matters only for short tasks where a wrong first answer is expensive.

3. Fable 5.1 allows vulnerability discovery that Opus 5.5 reroutes

Anthropic now permits vulnerability discovery on Fable 5.1 for defensive work, though not exploit development. Opus 5.5 is stricter here. Its launch post says users can find and fix bugs in their own code, but most other cybersecurity tasks are rerouted to Opus 4.8. That gap may narrow, since the company plans to expand its Cyber Verification Program to include Opus 5.5. Vetted cybersecurity and life sciences teams have a third option: Claude Mythos 5.1, which Anthropic describes as the same model as Fable 5.1 with fewer restrictions, available only through its trusted access programs.

If you're weighing Fable against OpenAI's flagship instead of Anthropic's cheaper tier, our GPT-6 Astra comparison covers that matchup.

Opus 5.5 fits most work, and Fable 5.1 fits a few specialist jobs

For most work, Opus 5.5 is the better default on both quality and cost. Fable 5.1 is the specialist.

Table 5: Recommended model by type of work, based on vendor-reported and independent results cited in this guide.

Type of work Pick Why
Building features, refactors, and code migrations Opus 5.5 +10.6 on Terminal-Bench 4.0, and equal correctness at 51% lower cost on the HAProxy migration
Research reports, analysis, and documents Opus 5.5 16 of 18 graded reports passed vs none for Fable 5.1; 1846 vs 1735 Elo on GDPval-AA v2.1
Business workflow automation Opus 5.5 40.0% vs 31.4% on AutomationBench
High-volume or always-on agents Opus 5.5 Lower cost per task, $2/$10 batch pricing, and a fast mode Fable 5.1 doesn't offer
Hard, open-ended problems Opus can't crack at high effort Fable 5.1 Anthropic's own routing guidance
Vulnerability discovery and security research Fable 5.1 Vulnerability discovery allowed; Opus 5.5 reroutes most cyber tasks
Short tasks where one quick answer must be right Test both Fable 5.1 leads at low effort, but costs more than four times as much per task

Start on Opus 5.5 and escalate to Fable 5.1 for the hard cases

The Fable 5.1 vs Opus 5.5 verdict is simple: start on Opus 5.5, and escalate to Fable 5.1 only when a hard, open-ended problem still defeats Opus at higher effort. Opus 5.5 wins all nine benchmarks Anthropic published and came out ahead in both of Anthropic's same-task tests. On independent testing, it ties Fable 5.1 at default settings for about a third of the cost per task. Fable 5.1's clearest advantages are as a fallback for problems Opus can't crack at higher effort, and for security research that Opus 5.5's safeguards route to an older model.

Both models are available on Emergent, so you can build your apps and internal tools on either one by describing what you want. Most builds belong on Opus 5.5, with Fable 5.1 reserved for projects that are research-heavy from day one, or builds that have stalled on Opus. If your app needs its own AI features, the Universal LLM Key gives it one credential for Claude, GPT, and Gemini with unified billing.

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About the writer

Bhavyadeepsinh Rathod is SEO Content Manager at Emergent.sh, where he covers the tools, frameworks, and workflows driving the next era of vibe coding. With 8+ years in tech content marketing, he brings a sharp SEO lens to complex subjects, making Emergent's ecosystem of AI builder tools discoverable for the builders, creators, and teams that need them most. He specializes in making complex topics feel simple, relevant, and easy to act on.

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Frequently Asked Questions

Your Questions, Answered

Is Fable 5.1 better than Opus 5.5?
Not for most work. Opus 5.5 scores higher on all nine benchmarks in Anthropic's launch table and ties Fable 5.1 on Artificial Analysis's independent index at each model's default setting, for about a third of the cost per task. Fable 5.1 is better suited to hard, open-ended problems that Opus 5.5 can't solve at higher effort.
Is Fable Medium better than Opus High?
No. On the Artificial Analysis Intelligence Index, Fable 5.1 at medium effort scores 49, while Opus 5.5 at high effort scores 54. Opus 5.5 at high also costs less per task, at $1.82 against $2.98 for Fable 5.1 at medium. Opus 5.5 at high effort even edges Fable 5.1 at max effort, 54 to 53.
Is Opus 5.5 better than Opus 5?
Yes. Opus 5.5 scores higher than Opus 5 on every benchmark in Anthropic's launch table, costs 20% less per token at $4/$20 per 1M tokens, and generates output more than 30% faster. Per Anthropic, it also costs about 40% less to run than Opus 5 on typical workloads, because it uses fewer tokens per task.
Why would you use Fable 5.1 if Opus 5.5 scores higher?
Because benchmarks don't cover every job. Anthropic recommends Fable 5.1 for demanding reasoning and long-horizon agentic work, and for tasks where Opus 5.5 at higher effort still falls short. Fable 5.1 also allows vulnerability discovery for security research, while Opus 5.5 reroutes most cybersecurity tasks to Opus 4.8.
Is Opus 5.5 40% cheaper than Fable 5.1?
No, it is cheaper than that. The 40% figure compares Opus 5.5 with Opus 5. Against Fable 5.1, Opus 5.5 is 60% cheaper per token on input and output and 20% cheaper on cache reads. At default settings, independent testing puts its cost per task at about a third of Fable 5.1's.
Can you switch from Opus 5.5 to Fable 5.1 mid-task?
On the Claude API, yes, by sending the conversation so far to Fable 5.1 in a new request. Fable 5.1 can read Opus 5.5's thinking blocks, so the handoff keeps the reasoning Opus has already done. The reverse doesn't work, because Opus 5.5 cannot read Fable 5.1's thinking blocks. On Emergent, you choose the model when you start a project.
Do Fable 5.1 and Opus 5.5 have the same context window?
Yes. Both models support a 1M-token context window and up to 128,000 output tokens per response, and both have a reliable knowledge cutoff of June 2026. The practical differences between them are price, default effort, speed, and the kinds of work Anthropic positions each model for.
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