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Claude Fable 5 vs GPT-4.1

Updated October 21, 2026. 70 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Fable 5Anthropic
Coding
82.1
Overall
49.6
Output $/M
$50.00
70
GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
0
vs boards won of 70 shared

Decision reading

Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 46.5 for GPT-4.1.

Pick GPT-4.1 when output tokens cost 6.3x less, or when a solved task costs $0.37 against $2.16.

Shared results
70
Claude Fable 5 only
56
GPT-4.1 only
17
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 82.1 from 2 benchmarks, GPT-4.1 46.5 from 2 benchmarks.
Widest category
Agentic work, 51.5 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI: Claude Fable 5 98.5% against GPT-4.1 5.5%, 93.0 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against GPT-4.1 $8.00 per million output tokens, 6.3x apart.
Context window
Claude Fable 5 takes 1M tokens, GPT-4.1 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 5BarsGPT-4.1Ties
Coding60
Intelligence20
Agentic work10
Reasoning140
Math40
Knowledge100
Web design60
General270
All shared boards700
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev1624Not measuredOnly Claude Fable 5 measured
AA Coding Index76.5Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Vals AI)89.8%54.7%Claude Fable 5
SWE-bench Verified (Vals AI)95.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Fable 5 measured
Code migration (Vals AI)55.1%Not measuredOnly Claude Fable 5 measured
ProgramBench (Vals AI)2.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 2.1 (Vals AI)80.5%Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Artificial Analysis run)Not measured45.7%Only GPT-4.1 measured
SciCode61.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench Hard (Artificial Analysis run)62.9%13.6%Claude Fable 5
FrontierCode53.5%Not measuredOnly Claude Fable 5 measured
FrontierSWE47.0%Not measuredOnly Claude Fable 5 measured
GSO-Bench78.4%Not measuredOnly Claude Fable 5 measured
WeirdML91.9%39.0%Claude Fable 5
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3558.1Claude Fable 5
LMArena Text: coding15181390Claude Fable 5
LMArena Text: software and IT15131391Claude Fable 5
LMArena WebDev: React1631Not measuredOnly Claude Fable 5 measured
LMArena WebDev: HTML1651Not measuredOnly Claude Fable 5 measured
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
AA Intelligence Index49.612.7Claude Fable 5
Epoch Capabilities Index163.4136.7Claude Fable 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
AA Agentic Index50.7Not measuredOnly Claude Fable 5 measured
Design Arena: agents building web apps1261Not measuredOnly Claude Fable 5 measured
Design Arena: agents building full-stack apps1280Not measuredOnly Claude Fable 5 measured
Design Arena: agents building mobile apps1264Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Android apps1289Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Godot games1292Not measuredOnly Claude Fable 5 measured
Design Arena: agents building games1285Not measuredOnly Claude Fable 5 measured
Design Arena: HTML slides1277Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1295Not measuredOnly Claude Fable 5 measured
LiveBench research86.9%Not measuredOnly Claude Fable 5 measured
LiveBench browser92.0%Not measuredOnly Claude Fable 5 measured
LiveBench long agentic53.2%Not measuredOnly Claude Fable 5 measured
Finance Agent (Vals AI)56.3%Not measuredOnly Claude Fable 5 measured
Tax Agent Bench (Vals AI)38.3%Not measuredOnly Claude Fable 5 measured
Legal Research Bench (Vals AI)49.5%Not measuredOnly Claude Fable 5 measured
Excel Modeling Benchmark (Vals AI)73.7%Not measuredOnly Claude Fable 5 measured
Terminal-Bench-Science (Vals AI)15.7%Not measuredOnly Claude Fable 5 measured
τ²-Bench Telecom98.5%47.1%Claude Fable 5
APEX-Agents63.6%Not measuredOnly Claude Fable 5 measured
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680Not measuredOnly Claude Fable 5 measured
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index140
Reasoning benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
GPQA Diamond93.2%65.4%Claude Fable 5
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%72.4%Claude Fable 5
GPQA Diamond (Artificial Analysis run)92.6%66.6%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%4.2%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%66.9%Claude Fable 5
ARC-AGI98.5%5.5%Claude Fable 5
ARC-AGI-289.2%0.4%Claude Fable 5
SimpleBench81.9%27.0%Claude Fable 5
Chess puzzles47.0%3.0%Claude Fable 5
Mystery game puzzles52.0%Not measuredOnly Claude Fable 5 measured
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts15071384Claude Fable 5
LMArena Text: expert15341364Claude Fable 5
LMArena Text: hard prompts in English15091393Claude Fable 5
LMArena Vision: diagrams13571215Claude Fable 5
LMArena Vision: homework13611248Claude Fable 5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
AIMENot measured39.6%Only GPT-4.1 measured
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)Not measured87.7%Only GPT-4.1 measured
AA Math IndexNot measured34.7Only GPT-4.1 measured
AIME 2025 (Artificial Analysis run)Not measured34.7%Only GPT-4.1 measured
OTIS Mock AIME100.0%38.3%Claude Fable 5
FrontierMath, tiers 1 to 387.0%6.0%Claude Fable 5
FrontierMath, tier 490.2%Not measuredOnly Claude Fable 5 measured
ProofBench95.0%Not measuredOnly Claude Fable 5 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math15161369Claude Fable 5
LMArena Text: mathematical work15151360Claude Fable 5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
MMLU Pro91.5%80.5%Claude Fable 5
LegalBench (Vals AI)88.6%83.1%Claude Fable 5
CaseLaw (Vals AI)Not measured69.9%Only GPT-4.1 measured
CorpFin (Vals AI)71.8%63.0%Claude Fable 5
TaxEval (Vals AI)76.9%75.1%Claude Fable 5
MortgageTax (Vals AI)68.9%65.9%Claude Fable 5
MedQA (Vals AI)Not measured91.2%Only GPT-4.1 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
MMLU Pro (Artificial Analysis run)Not measured80.6%Only GPT-4.1 measured
SimpleQA Verified70.7%31.1%Claude Fable 5
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science15061382Claude Fable 5
LMArena Text: medicine and healthcare14801379Claude Fable 5
LMArena Text: legal and government14981399Claude Fable 5
LMArena Text: business and finance14801369Claude Fable 5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
Design Arena: websites12961039Claude Fable 5
Design Arena: UI components13181000Claude Fable 5
Design Arena: game dev13361080Claude Fable 5
Design Arena: data viz13041104Claude Fable 5
Design Arena: 3D1319850Claude Fable 5
Design Arena: all code categories13101026Claude Fable 5
Design Arena: SVG1302Not measuredOnly Claude Fable 5 measured
Design Arena: ASCII art1328Not measuredOnly Claude Fable 5 measured
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index270
General benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
LiveBench data analysis80.5%Not measuredOnly Claude Fable 5 measured
Public Benefits Bench (Vals AI)70.4%Not measuredOnly Claude Fable 5 measured
SAGE (Vals AI)51.9%Not measuredOnly Claude Fable 5 measured
MedScribe (Vals AI)88.5%Not measuredOnly Claude Fable 5 measured
Vals Multimodal Index74.2%Not measuredOnly Claude Fable 5 measured
IFBench63.5%43.0%Claude Fable 5
Long context reasoning (AA-LCR)82.3%68.3%Claude Fable 5
DTBench98.4%68.3%Claude Fable 5
LMCA61.2%25.6%Claude Fable 5
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911383Claude Fable 5
LMArena Text: instruction following15021367Claude Fable 5
LMArena Text: creative writing14941363Claude Fable 5
LMArena Vision13251210Claude Fable 5
LMArena Text: English14981392Claude Fable 5
LMArena Text: non-English14821370Claude Fable 5
LMArena Text: Chinese15431382Claude Fable 5
LMArena Text: German14861381Claude Fable 5
LMArena Text: Japanese15041319Claude Fable 5
LMArena Text: Korean14871338Claude Fable 5
LMArena Text: French15051382Claude Fable 5
LMArena Text: Spanish14981376Claude Fable 5
LMArena Text: Russian15031377Claude Fable 5
LMArena Text: Polish14941389Claude Fable 5
LMArena Text: multi-turn15041397Claude Fable 5
LMArena Text: longer queries15101385Claude Fable 5
LMArena Text: writing and language15011371Claude Fable 5
LMArena Text: entertainment and media14821365Claude Fable 5
LMArena Vision: English13231209Claude Fable 5
LMArena Vision: Chinese13731226Claude Fable 5
LMArena Vision: reading text13371218Claude Fable 5
LMArena Vision: humor13411196Claude Fable 5
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writing13381210Claude Fable 5
LMArena Document1496Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5 and GPT-4.1
BenchmarkClaude Fable 5GPT-4.1Leader
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$0.035Fits in one request
GPT-4.1$0.0060Fits in one request

GPT-4.1 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
GPT-4.1$0.124Fits in one request

GPT-4.1 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
GPT-4.1$0.480Fits in one request

GPT-4.1 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 and GPT-4.1
SpecificationAnthropic Claude Fable 5OpenAI GPT-4.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 9, 2026April 14, 2025
Context window1M1.05M
Input $/Mtok$10.00$2.00
Output $/Mtok$50.00$8.00
Coding index82.146.5
Independent measurements behind it22
Cost per solved task$2.16$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than GPT-4.1 for coding?

Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 46.5 for GPT-4.1. Pick GPT-4.1 when output tokens cost 6.3x less, or when a solved task costs $0.37 against $2.16.

Which is cheaper, Claude Fable 5 or GPT-4.1?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and GPT-4.1 $0.37.

Which has the bigger context window, Claude Fable 5 or GPT-4.1?

GPT-4.1, with 1.05M tokens against 1M.

How many benchmarks is the Claude Fable 5 vs GPT-4.1 comparison based on?

70 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 2 independent benchmarks and GPT-4.1's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-fable-5-vs-gpt-4-1">LLMBenchmark.ai, Claude Fable 5 vs GPT-4.1</a></p>