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AnthropicLLM matchup

Claude Fable 5.2vs.Claude Haiku 5.5

Is the higher price worth it?

Claude Fable 5.2 performs better than Claude Haiku 5.5, but costs 80 times as much.

Fable 5.2 ahead
IntelligenceOverall index, 100 points = average
130.9

Claude Fable 5.2

Rank 1

102.8

Claude Haiku 5.5

Rank 23

SpeedTokens per second
n/a

Claude Fable 5.2

164

Claude Haiku 5.5

Haiku 5.5 cheaper
Price$ per 1M tokens
$16

Claude Fable 5.2

$0.20

Claude Haiku 5.5

Above 100,000 tokens of context, Claude Haiku 5.5 costs more: $0.50 input and $2.50 output per 1M tokens.

Choose Claude Fable 5.2 for

KnowledgeMathematicsLegalGeneralCodingReasoningFinanceAgents

Choose Claude Haiku 5.5 for

No clear advantage

Where is the difference?

Strengths at a glance

Fable 5.2Haiku 5.5Median of all ranked models

9511513515575CodingFable 5.2ReasoningFable 5.2MathematicsFable 5.2KnowledgeFable 5.2AgentsFable 5.2GeneralFable 5.2FinanceFable 5.2LegalFable 5.2
CodingFable 5.2 ahead
Fable 5.2131.6Rank 1
Haiku 5.5106.3Rank 20
Median of ranked models87.4

95 % range: Fable 5.2 122.0 to 141.1, Haiku 5.5 102.8 to 109.9.

AreaFable 5.2Haiku 5.5

The same values and verdicts as the bars below. In the close-up the net starts at 75 points, just below the weaker model's lowest value; the reference group average is 100. Not in the net because a model has no own value there or the data are too thin: Multimodal, Health.

Fable 5.2 is ahead in 8 of 9 areas, Haiku 5.5 in none.

Fable 5.2 ahead: 8too little data: 1

Areas in the overall index
KnowledgeFable 5.2 +65145.5 to 80.9
MathematicsFable 5.2 +28135.2 to 107.2
GeneralFable 5.2 +27132.8 to 106.2
CodingFable 5.2 +25131.6 to 106.3
ReasoningFable 5.2 +20124.9 to 105.4
AgentsFable 5.2 +17124.2 to 106.9
Specialist fields
LegalFable 5.2 +28120.9 to 93.0
FinanceFable 5.2 +19123.5 to 104.3
Healthonly Haiku 5.5 has a score

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Show 3 more areas that do not count toward the overall index
Cybersecurityonly Haiku 5.5 has a score
Productivityonly Haiku 5.5 has a score
Educationonly Haiku 5.5 has a score

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Claude Fable 5.2 vs. Claude Haiku 5.5 at the same effort

Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.

lowFable 5.2 ahead
41.2 points gap across 11 shared test series
mediumFable 5.2 ahead
33.5 points gap across 11 shared test series
highFable 5.2 ahead
30.6 points gap across 11 shared test series
xhighFable 5.2 ahead
26.8 points gap across 11 shared test series
maxFable 5.2 ahead
27.5 points gap across 11 shared test series
Overall index (max vs. max)Fable 5.2 ahead
Fable 5.2 130.9 vs. Haiku 5.5 102.8

The gap compares only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors.

Which model for which task?

Everyday tasks, translated from the area values above. Each row names the values it rests on.

Writing and debugging codeFable 5.2Coding 131.6 to 106.3
Maths and data analysisFable 5.2Mathematics 135.2 to 107.2, Reasoning 124.9 to 105.4
Facts and researchFable 5.2Knowledge 145.5 to 80.9
Agents and workflowsFable 5.2Agents 124.2 to 106.9
Security analysisopenCybersecurity without a score for Fable 5.2
Many requests on a small budgetHaiku 5.5$16 to $0.20 per 1M tokens
Finance, legal and medical textsFable 5.2Finance 123.5 to 104.3, Legal 120.9 to 93.0, Health without a score for Fable 5.2

Claude Fable 5.2 vs. Claude Haiku 5.5 in our own test

There is no shared test round for this selection. Results from different rounds are not mixed.

Claude Fable 5.2 and Claude Haiku 5.5 in the overall index

Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.

Overall index (Gradually Meta-Score v5)

20 of 94 models

4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.

Claude Fable 5.2max130.9
Gemini 4 Carbonhigh127.0
Claude Opus 5.5max125.6
Claude Fable 5.1max124.1
Claude Sonnet 5.5max121.8
Gemini 4 Argonhigh121.4
GPT-6 Astramax120.2
Muse Wonder Fullmax118.1
GPT-6.1 Solmax118.0
Claude Opus 5max117.4
Muse Wondermax113.3
Claude Fable 5max112.8
Kimi K3.1 Promax112.6
Muse Ember 1.0max110.4
GPT-6 Solmax109.1
GPT-5.6 Solmax109.1
Gemini 3.7 Flashhigh107.9
Muse Spark 1.3max107.3
Gemini 3.8 Flashhigh106.8
Claude Haiku 5.5max102.8

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricClaude Fable 5.2Claude Haiku 5.5
Intelligence
Overall indexpoints, 100 = reference group average, higher is better130.9102.8
RankRank 1 of 94Rank 23 of 94
Price per 1M tokens
Inputwhat you send$8$0.10above 100,000 tokens: $0.50
Outputwhat the model writes$40$0.50above 100,000 tokens: $2.50
Speed
Tokens per secondn/a164
Technical
Context windowhow much text the model reads at once1 M tokens≈ 1,500 A4 pages1 M tokens≈ 1,500 A4 pages
Knowledge cutoffJune 2026June 2026
ReleasedNov 9, 2026Oct 7, 2026
AvailabilityActiveActive
Open weightsnono
  • Claude Fable 5.2, Batch pricing: $4 input and $20 output per million tokens, separate from standard API pricing. Source
  • Claude Fable 5.2, Fast pricing: $16 input and $80 output per million tokens. Fast is a separate serving mode. Source

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

As cheap as Haiku 5.5Muse Ember 1.0

Overall index 110.4, rank 14$0.10 input and $0.50 output per 1M tokens

View profile

Shared benchmarks

Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.

No directly comparable result yet

No published benchmark for Claude Fable 5.2 and Claude Haiku 5.5 currently matches in version, task and metric. We therefore show no estimated or blended values.

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