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Claude Fable 5.1 vs GPT-5.4

Updated October 21, 2026. 91 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Fable 5.1Anthropic
Coding
89.1
Overall
53.4
Output $/M
$50.00
89
GPT-5.4OpenAI
Coding
37.7
Overall
39.0
Output $/M
$15.00
1
vs boards won of 91 shared, 1 tied

Decision reading

Pick Claude Fable 5.1 for coding: it scores 89.1 on the Vibe Coding Index against 37.7 for GPT-5.4.

Pick GPT-5.4 when output tokens cost 3.3x less, or when the context window is larger, 1.05M against 1M tokens.

Shared results
91
Claude Fable 5.1 only
33
GPT-5.4 only
18
Like-for-like categories
8 of 9

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

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Fable 5.1 89.1 from 2 benchmarks, GPT-5.4 37.7 from 1 benchmark.
Widest category
Agentic work, 23.0 points apart on average over 6 shared benchmarks.
Widest single gap
MirrorCode: Claude Fable 5.1 73.3% against GPT-5.4 15.6%, 57.7 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against GPT-5.4 $15.00 per million output tokens, 3.3x apart.
Context window
Claude Fable 5.1 takes 1M tokens, GPT-5.4 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Fable 5.1BarsGPT-5.4Ties
Coding160
Intelligence20
Agentic work51
Reasoning1301 tie
Math60
Knowledge100
Web design80
General290
All shared boards8911 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index160
Coding benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
LiveBench coding97.7%Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev17431464Claude Fable 5.1
AA Coding Index81.671.1Claude Fable 5.1
LiveCodeBench (Vals AI)90.5%84.1%Claude Fable 5.1
SWE-bench Verified (Vals AI)Not measured78.2%Only GPT-5.4 measured
Terminal-Bench 4 (Vals AI)58.1%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench (Vals AI)90.3%67.4%Claude Fable 5.1
Code migration (Vals AI)54.6%35.0%Claude Fable 5.1
ProgramBench (Vals AI)7.0%0.5%Claude Fable 5.1
IOI (Vals AI)90.8%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench 2.1 (Vals AI)85.0%Not measuredOnly Claude Fable 5.1 measured
SWE-bench Multimodal (Vals AI)61.3%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench 1-100 (Vals AI)28.0%Not measuredOnly Claude Fable 5.1 measured
SkillsBench (Vals AI)61.5%51.7%Claude Fable 5.1
CyberBench (Vals AI)70.4%Not measuredOnly Claude Fable 5.1 measured
SciCode63.1%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured57.6%Only GPT-5.4 measured
Terminal-BenchNot measured81.8%Only GPT-5.4 measured
FrontierCode50.9%Not measuredOnly Claude Fable 5.1 measured
FrontierSWE56.3%Not measuredOnly Claude Fable 5.1 measured
GSO-Bench88.2%31.4%Claude Fable 5.1
WeirdML92.9%77.7%Claude Fable 5.1
MirrorCode73.3%15.6%Claude Fable 5.1
ALE-Bench2143.21607.0Claude Fable 5.1
LMArena Text: coding15321496Claude Fable 5.1
LMArena Text: software and IT15301491Claude Fable 5.1
LMArena WebDev: React17921454Claude Fable 5.1
LMArena WebDev: HTML16841478Claude Fable 5.1
LMArena WebDev: from an image17221436Claude Fable 5.1
Neither model has a result on the other 9 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
AA Intelligence Index53.439.0Claude Fable 5.1
Epoch Capabilities Index166.5157.3Claude Fable 5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
AA Agentic Index57.9Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building web apps13181059Claude Fable 5.1
Design Arena: agents building full-stack apps13261017Claude Fable 5.1
Design Arena: agents building mobile apps12671087Claude Fable 5.1
Design Arena: agents building Android appsNot measured1037Only GPT-5.4 measured
Design Arena: agents building Godot games13271135Claude Fable 5.1
Design Arena: PowerPoint slides1328Not measuredOnly Claude Fable 5.1 measured
Design Arena: spreadsheets1374Not measuredOnly Claude Fable 5.1 measured
LiveBench research82.0%Not measuredOnly Claude Fable 5.1 measured
LiveBench browser100.0%Not measuredOnly Claude Fable 5.1 measured
LiveBench long agentic80.8%Not measuredOnly Claude Fable 5.1 measured
SREBench (Vals AI)22.9%Not measuredOnly Claude Fable 5.1 measured
Finance Agent (Vals AI)58.9%Not measuredOnly Claude Fable 5.1 measured
Tax Agent Bench (Vals AI)49.2%Not measuredOnly Claude Fable 5.1 measured
Legal Research Bench (Vals AI)55.3%Not measuredOnly Claude Fable 5.1 measured
Excel Modeling Benchmark (Vals AI)76.7%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench-Science (Vals AI)40.0%Not measuredOnly Claude Fable 5.1 measured
Time Horizon Index (Vals AI)63.3%Not measuredOnly Claude Fable 5.1 measured
CUA-bench (Vals AI)13.2%Not measuredOnly Claude Fable 5.1 measured
Robo-bench (Vals AI)5.8%Not measuredOnly Claude Fable 5.1 measured
τ²-Bench TelecomNot measured87.1%Only GPT-5.4 measured
APEX-Agents68.6%52.4%Claude Fable 5.1
METR time horizonsNot measured74.3%Only GPT-5.4 measured
Remote Labor Index17.9%Not measuredOnly Claude Fable 5.1 measured
DeepResearch BenchNot measured35.1%Only GPT-5.4 measured
PostTrainBenchNot measured19.0%Only GPT-5.4 measured
SpireClimb2.0%Not measuredOnly Claude Fable 5.1 measured
Vending-Bench 2$5,422$6,144GPT-5.4
LMArena Search1246Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
GPQA Diamond93.4%91.7%Claude Fable 5.1
LiveBench reasoning91.7%Not measuredOnly Claude Fable 5.1 measured
MysteryMechanism (Vals AI)47.8%Not measuredOnly Claude Fable 5.1 measured
MMMU Pro (Vals AI)90.6%87.5%Claude Fable 5.1
GPQA Diamond (Artificial Analysis run)93.7%92.0%Claude Fable 5.1
Humanity's Last Exam (Artificial Analysis run)59.1%43.7%Claude Fable 5.1
GPQA Diamond (Epoch AI run)Not measured93.3%Only GPT-5.4 measured
ARC-AGI97.5%93.7%Claude Fable 5.1
ARC-AGI-290.0%74.0%Claude Fable 5.1
Chess puzzles48.0%48.0%Tie
Mystery game puzzles58.0%37.0%Claude Fable 5.1
EBR-bench57.1%25.4%Claude Fable 5.1
LMArena Text: hard prompts15281485Claude Fable 5.1
LMArena Text: expert15441507Claude Fable 5.1
LMArena Text: hard prompts in English15221479Claude Fable 5.1
LMArena Vision: diagrams13431327Claude Fable 5.1
LMArena Vision: homework13451336Claude Fable 5.1
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
AIMENot measured96.7%Only GPT-5.4 measured
OTIS Mock AIME100.0%97.8%Claude Fable 5.1
FrontierMath, tiers 1 to 390.2%78.6%Claude Fable 5.1
FrontierMath, tier 487.8%49.0%Claude Fable 5.1
ProofBench100.0%56.0%Claude Fable 5.1
LMArena Text: math15311488Claude Fable 5.1
LMArena Text: mathematical work15411497Claude Fable 5.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
MMLU Pro92.4%87.5%Claude Fable 5.1
LegalBench (Vals AI)88.5%86.0%Claude Fable 5.1
CaseLaw (Vals AI)Not measured63.8%Only GPT-5.4 measured
CorpFin (Vals AI)Not measured65.3%Only GPT-5.4 measured
TaxEval (Vals AI)76.0%74.0%Claude Fable 5.1
MortgageTax (Vals AI)70.8%68.3%Claude Fable 5.1
MedQA (Vals AI)Not measured96.1%Only GPT-5.4 measured
MedCode (Vals AI)53.5%41.3%Claude Fable 5.1
SimpleQA Verified70.8%45.1%Claude Fable 5.1
LMArena Text: science15321479Claude Fable 5.1
LMArena Text: medicine and healthcare15311458Claude Fable 5.1
LMArena Text: legal and government15141486Claude Fable 5.1
LMArena Text: business and finance14931474Claude Fable 5.1
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
Design Arena: websites13131199Claude Fable 5.1
Design Arena: UI components13381215Claude Fable 5.1
Design Arena: game dev13821195Claude Fable 5.1
Design Arena: data viz13441196Claude Fable 5.1
Design Arena: 3D13931065Claude Fable 5.1
Design Arena: all code categories13361180Claude Fable 5.1
Design Arena: SVG13011141Claude Fable 5.1
Design Arena: ASCII art13241188Claude Fable 5.1
LiveBench design83.4%Not measuredOnly Claude Fable 5.1 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
LiveBench data analysis80.3%Not measuredOnly Claude Fable 5.1 measured
Public Benefits Bench (Vals AI)74.9%Not measuredOnly Claude Fable 5.1 measured
SAGE (Vals AI)48.5%43.3%Claude Fable 5.1
MedScribe (Vals AI)91.3%77.5%Claude Fable 5.1
IFBenchNot measured73.9%Only GPT-5.4 measured
Long context reasoning (AA-LCR)85.3%82.0%Claude Fable 5.1
DTBench97.6%94.4%Claude Fable 5.1
LMCA65.5%52.0%Claude Fable 5.1
CL-benchNot measured27.9%Only GPT-5.4 measured
Furniture assembly70.0%37.5%Claude Fable 5.1
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text15121469Claude Fable 5.1
LMArena Text: instruction following15181469Claude Fable 5.1
LMArena Text: creative writing15091439Claude Fable 5.1
LMArena Vision13191303Claude Fable 5.1
LMArena Text: English15061467Claude Fable 5.1
LMArena Text: non-English15081465Claude Fable 5.1
LMArena Text: Chinese15841520Claude Fable 5.1
LMArena Text: German14991472Claude Fable 5.1
LMArena Text: Japanese15621485Claude Fable 5.1
LMArena Text: Korean15171449Claude Fable 5.1
LMArena Text: French15231493Claude Fable 5.1
LMArena Text: Spanish15201452Claude Fable 5.1
LMArena Text: Russian15201480Claude Fable 5.1
LMArena Text: Polish15251472Claude Fable 5.1
LMArena Text: multi-turn14931482Claude Fable 5.1
LMArena Text: longer queries15241473Claude Fable 5.1
LMArena Text: writing and language15101458Claude Fable 5.1
LMArena Text: entertainment and media14971438Claude Fable 5.1
LMArena Vision: English13131301Claude Fable 5.1
LMArena Vision: Chinese13911354Claude Fable 5.1
LMArena Vision: reading text13271312Claude Fable 5.1
LMArena Vision: humor13181284Claude Fable 5.1
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writing13301283Claude Fable 5.1
LMArena DocumentNot measured1471Only GPT-5.4 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5.1 and GPT-5.4
BenchmarkClaude Fable 5.1GPT-5.4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Fable 5.1$0.035Fits in one request
GPT-5.4$0.010Fits in one request

GPT-5.4 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.1$0.650Fits in one request
GPT-5.4$0.170Fits in one request

GPT-5.4 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.1$2.50Fits in one request
GPT-5.4$0.650Fits in one request

GPT-5.4 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Fable 5.1 and GPT-5.4
SpecificationAnthropic Claude Fable 5.1OpenAI GPT-5.4
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 1, 2026March 5, 2026
Context window1M1.05M
Input $/Mtok$10.00$2.50
Output $/Mtok$50.00$15.00
Coding index89.137.7
Independent measurements behind it21
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than GPT-5.4 for coding?

Pick Claude Fable 5.1 for coding: it scores 89.1 on the Vibe Coding Index against 37.7 for GPT-5.4. Pick GPT-5.4 when output tokens cost 3.3x less, or when the context window is larger, 1.05M against 1M tokens.

Which is cheaper, Claude Fable 5.1 or GPT-5.4?

Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Cost per solved task is known for GPT-5.4 only.

Which has the bigger context window, Claude Fable 5.1 or GPT-5.4?

GPT-5.4, with 1.05M tokens against 1M.

How many benchmarks is the Claude Fable 5.1 vs GPT-5.4 comparison based on?

91 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5.1's coding index rests on 2 independent benchmarks and GPT-5.4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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