Enter opens the highlighted result. Esc closes.

Claude Fable 5 vs GPT-5.1

Claude Fable 5 leads GPT-5.1 on coding, 79.3 to 40.4 on the Vibe Coding Index, and GPT-5.1 costs 5.0x less per output token ($10.00 vs $50.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.

Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
82
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
2
vs boards won of 84 shared

Claude Fable 5 or GPT-5.1: which to pick

Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 40.4 for GPT-5.1.

Pick GPT-5.1 for output tokens 5.0x cheaper ($10.00 vs $50.00 per million) and a lower cost per solved task ($1.02 against $2.16).

Shared results
84
Claude Fable 5 only
43
GPT-5.1 only
17
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 79.3 from 6 benchmarks, GPT-5.1 40.4 from 3 benchmarks.
Widest category
Coding, 30.7 points apart on average over 13 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Fable 5 89.2% against GPT-5.1 17.6%, 71.5 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against GPT-5.1 $10.00 per million output tokens, 5.0x apart.
Context window
Claude Fable 5 takes 1M tokens, GPT-5.1 400K.

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-5.1Ties
Coding130
Intelligence20
Agentic work20
Reasoning141
Math30
Knowledge110
Web design80
General291
All shared boards822
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
SWE-bench VerifiedNot measured66.0%Only GPT-5.1 measured
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev16241396Claude Fable 5
AA Coding Index76.549.4Claude Fable 5
LiveCodeBench (Vals AI)89.8%86.5%Claude Fable 5
SWE-bench Verified (Vals AI)95.0%69.8%Claude Fable 5
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%24.6%Claude Fable 5
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 measured86.8%Only GPT-5.1 measured
SciCode61.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench Hard (Artificial Analysis run)62.9%45.5%Claude Fable 5
Terminal-BenchNot measured47.6%Only GPT-5.1 measured
FrontierCode53.5%Not measuredOnly Claude Fable 5 measured
FrontierSWE47.0%Not measuredOnly Claude Fable 5 measured
GSO-Bench78.4%13.7%Claude Fable 5
WeirdML91.9%60.8%Claude Fable 5
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3Not measuredOnly Claude Fable 5 measured
LMArena Text: coding15181453Claude Fable 5
LMArena Text: software and IT15131454Claude Fable 5
LMArena WebDev: React16311307Claude Fable 5
LMArena WebDev: HTML16511405Claude Fable 5
LMArena WebDev: from an image16231421Claude Fable 5
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
AA Intelligence Index49.624.7Claude Fable 5
Epoch Capabilities Index163.4149.8Claude Fable 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
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 apps1284Not 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 slides1227Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1270Not 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%81.9%Claude Fable 5
APEX-Agents63.6%Not measuredOnly Claude Fable 5 measured
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
DeepResearch BenchNot measured42.8%Only GPT-5.1 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680$1,473Claude Fable 5
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index141
Reasoning benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
GPQA Diamond93.2%86.6%Claude Fable 5
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%83.2%Claude Fable 5
GPQA Diamond (Artificial Analysis run)92.6%87.3%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%28.5%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%87.6%GPT-5.1
ARC-AGI98.5%72.8%Claude Fable 5
ARC-AGI-289.2%17.6%Claude Fable 5
SimpleBench81.9%53.2%Claude Fable 5
Chess puzzles47.0%42.0%Claude Fable 5
Mystery game puzzles52.0%19.0%Claude Fable 5
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
VPCTNot measured58.7%Only GPT-5.1 measured
LMArena Text: hard prompts15071457Claude Fable 5
LMArena Text: expert15341470Claude Fable 5
LMArena Text: hard prompts in English15091462Claude Fable 5
LMArena Vision: diagrams13571264Claude Fable 5
LMArena Vision: homework13611272Claude Fable 5
Kagi LLM Benchmark91.4%Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
AIMENot measured93.3%Only GPT-5.1 measured
MGSM (Vals AI)Not measured93.0%Only GPT-5.1 measured
AA Math IndexNot measured94.0Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)Not measured94.0%Only GPT-5.1 measured
OTIS Mock AIME100.0%88.6%Claude Fable 5
FrontierMath, tiers 1 to 387.0%Not measuredOnly Claude Fable 5 measured
FrontierMath, tier 490.2%Not measuredOnly Claude Fable 5 measured
ProofBench95.0%Not measuredOnly Claude Fable 5 measured
LMArena Text: math15161446Claude Fable 5
LMArena Text: mathematical work15151449Claude Fable 5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
MMLU Pro91.5%86.4%Claude Fable 5
LegalBench (Vals AI)88.6%85.7%Claude Fable 5
CaseLaw (Vals AI)Not measured73.4%Only GPT-5.1 measured
CorpFin (Vals AI)71.8%63.8%Claude Fable 5
TaxEval (Vals AI)76.9%74.9%Claude Fable 5
MortgageTax (Vals AI)68.9%61.4%Claude Fable 5
MedQA (Vals AI)Not measured96.4%Only GPT-5.1 measured
MedCode (Vals AI)56.1%52.7%Claude Fable 5
MMLU Pro (Artificial Analysis run)Not measured87.0%Only GPT-5.1 measured
SimpleQA Verified70.7%48.0%Claude Fable 5
LMArena Text: science15061459Claude Fable 5
LMArena Text: medicine and healthcare14801456Claude Fable 5
LMArena Text: legal and government14981459Claude Fable 5
LMArena Text: business and finance14801431Claude Fable 5
FACTS Benchmark SuiteNot measured45.0%Only GPT-5.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
Design Arena: websites12951187Claude Fable 5
Design Arena: UI components13161163Claude Fable 5
Design Arena: game dev13351178Claude Fable 5
Design Arena: data viz13041204Claude Fable 5
Design Arena: 3D13181060Claude Fable 5
Design Arena: all code categories13101170Claude Fable 5
Design Arena: SVG13021149Claude Fable 5
Design Arena: ASCII art13291119Claude Fable 5
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
General benchmarks for Claude Fable 5 and GPT-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
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%43.2%Claude Fable 5
MedScribe (Vals AI)88.5%88.1%Claude Fable 5
Vals Multimodal Index74.2%Not measuredOnly Claude Fable 5 measured
IFBench63.5%72.9%GPT-5.1
Long context reasoning (AA-LCR)82.3%80.0%Claude Fable 5
DTBench98.4%90.1%Claude Fable 5
LMCA61.2%43.9%Claude Fable 5
CL-benchNot measured23.7%Only GPT-5.1 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text14911443Claude Fable 5
LMArena Text: instruction following15021443Claude Fable 5
LMArena Text: creative writing14941427Claude Fable 5
LMArena Vision13251250Claude Fable 5
LMArena Text: English14981451Claude Fable 5
LMArena Text: non-English14821431Claude Fable 5
LMArena Text: Chinese15431495Claude Fable 5
LMArena Text: German14861438Claude Fable 5
LMArena Text: Japanese15041453Claude Fable 5
LMArena Text: Korean14871401Claude Fable 5
LMArena Text: French15051450Claude Fable 5
LMArena Text: Spanish14981433Claude Fable 5
LMArena Text: Russian15031435Claude Fable 5
LMArena Text: Polish14941440Claude Fable 5
LMArena Text: multi-turn15041450Claude Fable 5
LMArena Text: longer queries15101448Claude Fable 5
LMArena Text: writing and language15011428Claude Fable 5
LMArena Text: entertainment and media14821415Claude Fable 5
LMArena Vision: English13231252Claude Fable 5
LMArena Vision: Chinese13731270Claude Fable 5
LMArena Vision: reading text13371255Claude Fable 5
LMArena Vision: humor13411263Claude Fable 5
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.1 measured
LMArena Vision: creative writing13381266Claude Fable 5
LMArena Document14961403Claude Fable 5
Neither model has a result on the other 7 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-5.1
BenchmarkClaude Fable 5GPT-5.1Leader
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-5.1$0.0063Fits in one request

GPT-5.1 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
GPT-5.1$0.092Fits in one request

GPT-5.1 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
GPT-5.1$0.350Fits in one request

GPT-5.1 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-5.1
SpecificationAnthropic Claude Fable 5OpenAI GPT-5.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 9, 2026November 13, 2025
Context window1M400K
Input $/Mtok$10.00$1.25
Output $/Mtok$50.00$10.00
Coding index79.340.4
Independent measurements behind it63
Cost per solved task$2.16$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than GPT-5.1 for coding?

Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 40.4 for GPT-5.1. Pick GPT-5.1 for output tokens 5.0x cheaper ($10.00 vs $50.00 per million) and a lower cost per solved task ($1.02 against $2.16).

Which is cheaper, Claude Fable 5 or GPT-5.1?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and GPT-5.1 $1.02.

Which has the bigger context window, Claude Fable 5 or GPT-5.1?

Claude Fable 5, with 1M tokens against 400K.

How many benchmarks is the Claude Fable 5 vs GPT-5.1 comparison based on?

84 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and GPT-5.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-fable-5-vs-gpt-5-1" title="Claude Fable 5 vs GPT-5.1, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-fable-5-vs-gpt-5-1">LLMBenchmark.ai, Claude Fable 5 vs GPT-5.1</a></p>