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BenchLM
Data

Claude Fable 5.2 vs Claude Sonnet 5

Updated November 9, 2026. Rank says Claude Fable 5.2 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Claude Fable 5.2 has the higher public point estimate, 91.19 versus 64.27. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 6 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Anthropic logo

Anthropic

91.19/100

Estimated · Public rank #1

Conditional range 76.8–100.0

Model B
Anthropic logo

Anthropic

64.27/100

Supported · Public rank #35

90% interval 58.8–69.7

Shared results
6
Claude Fable 5.2 only
24
Claude Sonnet 5 only
26
Like-for-like categories
1 / 8
Estimated: Claude Fable 5.2 · Supported: Claude Sonnet 5. Conditional ranges do not establish rank confidence.How the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Chat turn cost

    1K fresh input + 500 output tokens

    Claude Sonnet 5

    Claude Sonnet 5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Claude Sonnet 5

    Claude Sonnet 5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Claude Sonnet 5

    Claude Sonnet 5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Claude Fable 5.2 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Claude Fable 5.2 is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

86.9Claude Fable 5.257.3Claude Sonnet 5

Directional only · BenchAlign v5.8

Claude Fable 5.2 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

4 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, reasoning, multimodal, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Knowledge

Like-for-like
Claude Fable 5.2
97.6
Supported · #1/179
Claude Sonnet 5
63.2
Supported · #39/179
Basis
BenchAlign v5.8 lane · 3 vs 6 public rows
Reading
Claude Fable 5.2 leads

Agentic

Directional only
Claude Fable 5.2
90.7
Estimated · #1/132
Claude Sonnet 5
64.3
Supported · #18/132
Basis
BenchAlign v5.8 lane · 8 vs 10 public rows
Reading
Directional only

Coding

Directional only
Claude Fable 5.2
86.9
Estimated · #1/158
Claude Sonnet 5
57.3
Supported · #27/158
Basis
BenchAlign v5.8 lane · 8 vs 11 public rows
Reading
Directional only

Reasoning

Directional only
Claude Fable 5.2
90.7
Supported · #1/157
Claude Sonnet 5
61.6
Estimated · #28/157
Basis
BenchAlign v5.8 lane · 3 vs 0 public rows
Reading
Directional only

Multimodal

Directional only
Claude Fable 5.2
89.8
Estimated · #1/67
Claude Sonnet 5
61.9
Supported · #33/67
Basis
BenchAlign v5.8 lane · 6 vs 3 public rows
Reading
Directional only

Multilingual

Not comparable
Claude Fable 5.2
Not ranked
Claude Sonnet 5
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Fable 5.2
Not ranked
Claude Sonnet 5
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Fable 5.2
Not ranked
Claude Sonnet 5
65.9
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, reasoning, multimodal, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Claude Fable 5.2
$0.028
Fits in one request
Claude Sonnet 5
$0.007
Fits in one request

Claude Sonnet 5 has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Fable 5.2
$0.52
Fits in one request
Claude Sonnet 5
$0.13
Fits in one request

Claude Sonnet 5 has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Claude Fable 5.2
$0.6
Fits in one request
Claude Sonnet 5
$0.18
Fits in one request

Claude Sonnet 5 has the lower modeled cost

Costs use the listed standard API rates.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Claude Fable 5.2

$0.2 per 1M cached input tokens

Claude API pricing

Claude Sonnet 5

$0.2 per 1M cached input tokens

Claude API pricing

Reasoning profile

Claude Fable 5.2

Reasoning

Claude Sonnet 5

Reasoning

Weight access

Claude Fable 5.2

Proprietary

Claude Sonnet 5

Proprietary

License

Claude Fable 5.2

Proprietary

Claude Sonnet 5

Proprietary

Release date

Claude Fable 5.2

2026-11-09

Claude Sonnet 5

2026-06-30

If you already use one of these models

Deployment change
Both entries list Anthropic as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
Quality signal
Claude Fable 5.2 has the higher public point estimate, 91.19 versus 64.27. Their conditional score ranges do not overlap. These ranges do not establish rank confidence.
Workload cost
Repository review: $0.52 vs $0.13. Cache-heavy agent loop: $0.6 vs $0.18.
Context tradeoff
Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Claude Fable 5.2 or Claude Sonnet 5?

Claude Fable 5.2 has the higher public point estimate, 91.19 versus 64.27. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Claude Fable 5.2 or Claude Sonnet 5?

Claude Fable 5.2 scores higher for coding on the public lane, 86.9 to 57.3. Claude Fable 5.2 is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Claude Fable 5.2 or Claude Sonnet 5?

Claude Fable 5.2 scores higher for agentic tasks on the public lane, 90.7 to 64.3. Claude Fable 5.2 is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Claude Fable 5.2 or Claude Sonnet 5?

For the stated presets, chat costs $0.028 on Claude Fable 5.2 and $0.007 on Claude Sonnet 5; repository review costs $0.52 and $0.13; the cache-heavy agent loop costs $0.6 and $0.18. Costs use the listed standard API rates.

Which has the larger context window, Claude Fable 5.2 or Claude Sonnet 5?

Both models list the same context window, 1M.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence56 rows

Agentic

  • Terminal-Bench 4.0

    Claude Fable 5.267.60%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • Terminal-Bench-Science 0.1

    Claude Fable 5.274.6%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • AutomationBench

    Claude Fable 5.251.4%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • OSWorld 2.1 Offline

    Claude Fable 5.289.3%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • WANDR

    Claude Fable 5.282.1%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • Remote Labor Index

    Claude Fable 5.241.3%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • RoboDojo Sim

    Claude Fable 5.264.9%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • DRACO

    Claude Fable 5.287.7%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • Terminal-Bench 4.1

    Claude Fable 5.2—
    Claude Sonnet 512.10%
    Source

    Not directly comparable

  • Terminal-Bench 3.0

    Claude Fable 5.2—
    Claude Sonnet 514.6%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Fable 5.2—
    Claude Sonnet 580.4%
    Source

    Not directly comparable

  • BrowseComp

    Claude Fable 5.2—
    Claude Sonnet 584.7%
    Source

    Not directly comparable

  • HLE w/ tools

    Claude Fable 5.2—
    Claude Sonnet 557.4%
    Source

    Not directly comparable

  • OSWorld-Verified

    Claude Fable 5.2—
    Claude Sonnet 581.2%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Fable 5.2—
    Claude Sonnet 574.5%
    Source

    Not directly comparable

  • ApprenticeBench

    Claude Fable 5.2—
    Claude Sonnet 516%
    Source

    Not directly comparable

  • MazeBench

    Claude Fable 5.2—
    Claude Sonnet 50%
    Source

    Not directly comparable

  • OSWorld 2.1

    Claude Fable 5.2—
    Claude Sonnet 557.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Pro

    Claude Fable 5.293%
    Source
    Claude Sonnet 563.2%
    Source

    Claude Fable 5.2 leads this result

  • SWE Multilingual

    Claude Fable 5.296.6%
    Source
    Claude Sonnet 578.3%
    Source

    Claude Fable 5.2 leads this result

  • SWE Multimodal

    Claude Fable 5.274.1%
    Source
    Claude Sonnet 528.1%
    Source

    Claude Fable 5.2 leads this result

  • DeepSWE

    Claude Fable 5.274.3%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • FrontierSWE v2

    Claude Fable 5.269.9%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • ProgramBench

    Claude Fable 5.285.6%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • FrontierCode 2.0

    Claude Fable 5.249.1%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • CursorBench 4.0

    Shared source
    Claude Fable 5.260.0%
    Claude Sonnet 534.1%

    Claude Fable 5.2 leads this result

  • SWE-bench Verified

    Claude Fable 5.2—
    Claude Sonnet 585.2%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Fable 5.2—
    Claude Sonnet 580.4%
    Source

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Fable 5.2—
    Claude Sonnet 542.7%
    Source

    Not directly comparable

  • CursorBench 3.2

    Claude Fable 5.2—
    Claude Sonnet 561.5%
    Source

    Not directly comparable

  • VulcanBench CII v1

    Claude Fable 5.2—
    Claude Sonnet 589.2%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Claude Fable 5.2—
    Claude Sonnet 582.4%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Claude Fable 5.2—
    Claude Sonnet 579.6%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-3

    Claude Fable 5.265.7%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • ARC-AGI-3 Provider Adapter

    Claude Fable 5.294.90%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • STEM Professor Bench

    Claude Fable 5.261.8%
    Source
    Claude Sonnet 5—

    Not directly comparable

Multimodal

  • Chartography (no tools)

    Claude Fable 5.273.4%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • Chartography (tools)

    Claude Fable 5.291.6%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • OfficeQA

    Claude Fable 5.283.4%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • OfficeQA Pro

    Claude Fable 5.272.9%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • BenchCAD 2.1

    Claude Fable 5.275.4%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • BenchCAD 2.1 (tools)

    Claude Fable 5.283.5%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • ParseBench

    Claude Fable 5.2—
    Claude Sonnet 561.16%
    Source

    Not directly comparable

  • CharXiv

    Claude Fable 5.2—
    Claude Sonnet 588.3%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Claude Fable 5.2—
    Claude Sonnet 577%
    Source

    Not directly comparable

Knowledge

  • HLE

    Claude Fable 5.274.2%
    Source
    Claude Sonnet 557.4%
    Source

    Claude Fable 5.2 leads this result

  • HLE w/o tools

    Claude Fable 5.273.2%
    Source
    Claude Sonnet 543.2%
    Source

    Claude Fable 5.2 leads this result

  • PhysicianBench

    Claude Fable 5.264.4%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • HLE-Verified

    Claude Fable 5.2—
    Claude Sonnet 531.0%
    Source

    Not directly comparable

  • LABBench2

    Claude Fable 5.2—
    Claude Sonnet 580.1%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Claude Fable 5.2—
    Claude Sonnet 588.9%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Claude Fable 5.2—
    Claude Sonnet 587.5%
    Source

    Not directly comparable

Multilingual

  • GMMLU

    Claude Fable 5.296.0%
    Source
    Claude Sonnet 5—

    Not directly comparable

  • MILU

    Claude Fable 5.294.1%
    Source
    Claude Sonnet 5—

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Claude Fable 5.2—
    Claude Sonnet 565.614%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Fable 5.2—
    Claude Sonnet 529.268%
    Source

    Not directly comparable

56 public results · 6 shared

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Last updated November 9, 2026