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BenchLM
Anthropic logo
Model A
Claude Fable 5

Anthropic

80.9/100

Supported · Public rank #3

90% interval 78.7–83.1

Claude Fable 5 vs Claude Haiku 4.5

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Anthropic logo
Model B
Claude Haiku 4.5

Anthropic

52.73/100

Supported · Public rank #119

90% interval 40.2–65.3

Decision reading

Claude Fable 5 has the higher public score, 80.9 versus 52.73, and the 90% score intervals do not overlap.

7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Claude Fable 5

    Claude Fable 5 leads on the public coding lane, 76.9 to 27.3, with Supported evidence for both models and non-overlapping 90% intervals.

    Confidence: stronger

  • Agentic work

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

    Claude Fable 5

    Claude Fable 5 leads on the public agentic lane, 74.8 to 27, with Supported evidence for both models and non-overlapping 90% intervals.

    Confidence: stronger

  • Long documents

    Prompts that approach the documented context limit

    Claude Fable 5

    Claude Fable 5 has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Chat turn cost

    1K fresh input + 500 output tokens

    Claude Haiku 4.5

    Claude Haiku 4.5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Claude Haiku 4.5

    Claude Haiku 4.5 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

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude Haiku 4.5 does not fit this workload in one request.

    Confidence: listed-rates

What is actually comparable

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

Shared results
7
Claude Fable 5 only
11
Claude Haiku 4.5 only
3
Like-for-like categories
2 / 8

1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, 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.

Agentic

Like-for-like
Claude Fable 5
74.8
Supported · #3/151
Claude Haiku 4.5
27.0
Supported · #143/151
Basis
BenchAlign lane · 4 vs 2 public rows
Reading
Claude Fable 5 leads

Coding

Like-for-like
Claude Fable 5
76.9
Supported · #2/183
Claude Haiku 4.5
27.3
Supported · #173/183
Basis
BenchAlign lane · 10 vs 4 public rows
Reading
Claude Fable 5 leads

Knowledge

Directional only
Claude Fable 5
83.5
Supported · #2/181
Claude Haiku 4.5
44.6
Estimated · #117/181
Basis
BenchAlign lane · 2 vs 2 public rows
Reading
Directional only

Reasoning

Not comparable
Claude Fable 5
76.2
#11/22
Claude Haiku 4.5
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Fable 5
Not ranked
Claude Haiku 4.5
28.9
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Fable 5
Not ranked
Claude Haiku 4.5
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude Fable 5
62.5
Unranked · 2 rankable rows
Claude Haiku 4.5
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Fable 5
78.3
#54/120
Claude Haiku 4.5
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

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

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.

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
$0.035
Fits in one request
Claude Haiku 4.5
$0.0035
Fits in one request

Claude Haiku 4.5 has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Fable 5
$0.65
Fits in one request
Claude Haiku 4.5
$0.065
Fits in one request

Claude Haiku 4.5 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
$0.9
Fits in one request
Claude Haiku 4.5
$0.09
Does not fit in one request

Claude Haiku 4.5 does not fit this workload in one request.

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

$1 per 1M cached input tokens

Claude API pricing

Claude Haiku 4.5

$0.1 per 1M cached input tokens

Claude API pricing

Reasoning profile

Claude Fable 5

Reasoning

Claude Haiku 4.5

Non-Reasoning

Weight access

Claude Fable 5

Proprietary

Claude Haiku 4.5

Proprietary

License

Claude Fable 5

Proprietary

Claude Haiku 4.5

Proprietary

Release date

Claude Fable 5

2026-06-09

Claude Haiku 4.5

2025-10-15

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 has the higher public score, 80.9 versus 52.73, and the 90% score intervals do not overlap.
Workload cost
Repository review: $0.65 vs $0.065. Cache-heavy agent loop: $0.9 vs $0.09.
Context tradeoff
Claude Fable 5 has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

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

Browse raw public benchmark evidence21 rows

Agentic

  • Terminal-Bench 3.0

    Claude Fable 534.0%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Fable 584.3%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • OSWorld-Verified

    Claude Fable 585%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Fable 580.5%
    Source
    Claude Haiku 4.543.8%
    Source

    Claude Fable 5 leads this result

  • JobBench

    Claude Fable 5—
    Claude Haiku 4.516.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Fable 595%
    Source
    Claude Haiku 4.573.3%
    Source

    Claude Fable 5 leads this result

  • SWE-bench Pro

    Claude Fable 580%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • FrontierSWE v2

    Claude Fable 548.0%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Fable 553.5%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Fable 584.3%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • cursorBench31

    Claude Fable 570.6%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • cursorBench32

    Claude Fable 570.5%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • VulcanBench v3

    Claude Fable 589.5%
    Source
    Claude Haiku 4.576.2%
    Source

    Claude Fable 5 leads this result

  • LiveCodeBench (Vals)

    Claude Fable 589.8%
    Source
    Claude Haiku 4.541.2%
    Source

    Claude Fable 5 leads this result

  • SWE-bench (Vals)

    Claude Fable 595.0%
    Source
    Claude Haiku 4.566.6%
    Source

    Claude Fable 5 leads this result

Knowledge

  • GPQA Diamond (Vals)

    Claude Fable 593.2%
    Source
    Claude Haiku 4.572.2%
    Source

    Claude Fable 5 leads this result

  • MMLU-Pro (Vals)

    Claude Fable 591.5%
    Source
    Claude Haiku 4.578.7%
    Source

    Claude Fable 5 leads this result

Math

  • FrontierMath v2 (Tiers 1-3)

    Claude Fable 5—
    Claude Haiku 4.55.903%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Fable 5—
    Claude Haiku 4.52.083%
    Source

    Not directly comparable

Multimodal

  • Blueprint-Bench 2

    Claude Fable 538.6%
    Source
    Claude Haiku 4.5—

    Not directly comparable

  • OfficeQA Pro

    Claude Fable 557.9%
    Source
    Claude Haiku 4.5—

    Not directly comparable

Frequently asked questions

Which is better, Claude Fable 5 or Claude Haiku 4.5?

Claude Fable 5 has the higher public score, 80.9 versus 52.73, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Claude Fable 5 or Claude Haiku 4.5?

Claude Fable 5 leads the public coding lane, 76.9 to 27.3, with Supported evidence for both models and non-overlapping 90% intervals.

Which is better for agentic tasks, Claude Fable 5 or Claude Haiku 4.5?

Claude Fable 5 leads the public agentic tasks lane, 74.8 to 27, with Supported evidence for both models and non-overlapping 90% intervals.

Which costs less, Claude Fable 5 or Claude Haiku 4.5?

For the stated presets, chat costs $0.035 on Claude Fable 5 and $0.0035 on Claude Haiku 4.5; repository review costs $0.65 and $0.065; the cache-heavy agent loop costs $0.9 and $0.09. Claude Haiku 4.5 does not fit this workload in one request.

Which has the larger context window, Claude Fable 5 or Claude Haiku 4.5?

Claude Fable 5 has the larger documented context window: 1M, compared with 200K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 4, 2026

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