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Claude Fable 5.1 vs GPT-5.2-Codex

Claude Fable 5.1 leads GPT-5.2-Codex on coding, 84.2 to 45.4 on the Vibe Coding Index, and GPT-5.2-Codex costs 3.6x less per output token ($14.00 vs $50.00 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Claude Fable 5.1Anthropic
Coding
84.2
Overall
84.7
Output $/M
$50.00
14
GPT-5.2-CodexOpenAI
Coding
45.4
Overall
No data
Output $/M
$14.00
0
vs boards won of 14 shared

Claude Fable 5.1 or GPT-5.2-Codex: which to pick

Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex.

Pick GPT-5.2-Codex for output tokens 3.6x cheaper ($14.00 vs $50.00 per million).

Shared results
14
Claude Fable 5.1 only
110
GPT-5.2-Codex only
8
Like-for-like categories
5 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 5.1 84.2 from 5 benchmarks, GPT-5.2-Codex 45.4 from 3 benchmarks.
Widest category
Coding, 38.0 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: Claude Fable 5.1 1743 against GPT-5.2-Codex 1339, 57.7 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against GPT-5.2-Codex $14.00 per million output tokens, 3.6x apart.
Context window
Claude Fable 5.1 takes 1M tokens, GPT-5.2-Codex 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 5.1BarsGPT-5.2-CodexTies
Coding60
Intelligence10
Agentic work40
Reasoning20
General10
All shared boards140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
SWE-bench VerifiedNot measured72.8%Only GPT-5.2-Codex measured
SWE-bench MultilingualNot measured66.3%Only GPT-5.2-Codex measured
LiveBench coding97.7%Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev17431339Claude Fable 5.1
AA Coding Index81.6Not measuredOnly Claude Fable 5.1 measured
LiveCodeBench (Vals AI)90.5%88.0%Claude Fable 5.1
SWE-bench Verified (Vals AI)Not measured72.4%Only GPT-5.2-Codex measured
Terminal-Bench 4 (Vals AI)58.1%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench (Vals AI)90.3%37.9%Claude Fable 5.1
Code migration (Vals AI)54.6%Not measuredOnly Claude Fable 5.1 measured
ProgramBench (Vals AI)7.0%Not measuredOnly Claude Fable 5.1 measured
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%Not measuredOnly Claude Fable 5.1 measured
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 measured37.1%Only GPT-5.2-Codex measured
Terminal-BenchNot measured66.5%Only GPT-5.2-Codex measured
FrontierCode50.9%Not measuredOnly Claude Fable 5.1 measured
FrontierSWE56.3%Not measuredOnly Claude Fable 5.1 measured
GSO-Bench88.2%Not measuredOnly Claude Fable 5.1 measured
WeirdML92.9%Not measuredOnly Claude Fable 5.1 measured
MirrorCode73.3%Not measuredOnly Claude Fable 5.1 measured
ALE-Bench2143.21299.9Claude Fable 5.1
LMArena Text: coding1532Not measuredOnly Claude Fable 5.1 measured
LMArena Text: software and IT1530Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev: React17921329Claude Fable 5.1
LMArena WebDev: HTML16841348Claude Fable 5.1
LMArena WebDev: from an image1722Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 8 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
AA Intelligence Index53.428.5Claude Fable 5.1
Epoch Capabilities Index166.5Not measuredOnly Claude Fable 5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
AA Agentic Index57.9Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building web apps13181051Claude Fable 5.1
Design Arena: agents building full-stack apps1326993Claude Fable 5.1
Design Arena: agents building mobile apps12671090Claude Fable 5.1
Design Arena: agents building Android appsNot measured1176Only GPT-5.2-Codex measured
Design Arena: agents building Godot games13271142Claude Fable 5.1
Design Arena: PowerPoint slides1305Not measuredOnly Claude Fable 5.1 measured
Design Arena: spreadsheets1380Not 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 measured92.1%Only GPT-5.2-Codex measured
APEX-Agents68.6%Not measuredOnly Claude Fable 5.1 measured
Remote Labor Index17.9%Not measuredOnly Claude Fable 5.1 measured
SpireClimb2.0%Not measuredOnly Claude Fable 5.1 measured
Vending-Bench 2$5,422Not measuredOnly Claude Fable 5.1 measured
LMArena Search1246Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
GPQA Diamond93.4%Not measuredOnly Claude Fable 5.1 measured
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%Not measuredOnly Claude Fable 5.1 measured
GPQA Diamond (Artificial Analysis run)93.7%89.9%Claude Fable 5.1
Humanity's Last Exam (Artificial Analysis run)59.1%35.7%Claude Fable 5.1
ARC-AGI97.5%Not measuredOnly Claude Fable 5.1 measured
ARC-AGI-290.0%Not measuredOnly Claude Fable 5.1 measured
Chess puzzles48.0%Not measuredOnly Claude Fable 5.1 measured
Mystery game puzzles58.0%Not measuredOnly Claude Fable 5.1 measured
EBR-bench57.1%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: hard prompts1528Not measuredOnly Claude Fable 5.1 measured
LMArena Text: expert1544Not measuredOnly Claude Fable 5.1 measured
LMArena Text: hard prompts in English1522Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: diagrams1343Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: homework1345Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
OTIS Mock AIME100.0%Not measuredOnly Claude Fable 5.1 measured
FrontierMath, tiers 1 to 390.2%Not measuredOnly Claude Fable 5.1 measured
FrontierMath, tier 487.8%Not measuredOnly Claude Fable 5.1 measured
ProofBench100.0%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: math1531Not measuredOnly Claude Fable 5.1 measured
LMArena Text: mathematical work1541Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
MMLU Pro92.4%Not measuredOnly Claude Fable 5.1 measured
LegalBench (Vals AI)88.5%Not measuredOnly Claude Fable 5.1 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Fable 5.1 measured
MortgageTax (Vals AI)70.8%Not measuredOnly Claude Fable 5.1 measured
MedCode (Vals AI)53.5%Not measuredOnly Claude Fable 5.1 measured
SimpleQA Verified70.8%Not measuredOnly Claude Fable 5.1 measured
LMArena Text: science1532Not measuredOnly Claude Fable 5.1 measured
LMArena Text: medicine and healthcare1531Not measuredOnly Claude Fable 5.1 measured
LMArena Text: legal and government1514Not measuredOnly Claude Fable 5.1 measured
LMArena Text: business and finance1493Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
Design Arena: websites1312Not measuredOnly Claude Fable 5.1 measured
Design Arena: UI components1336Not measuredOnly Claude Fable 5.1 measured
Design Arena: game dev1381Not measuredOnly Claude Fable 5.1 measured
Design Arena: data viz1344Not measuredOnly Claude Fable 5.1 measured
Design Arena: 3D1392Not measuredOnly Claude Fable 5.1 measured
Design Arena: all code categories1335Not measuredOnly Claude Fable 5.1 measured
Design Arena: SVG1300Not measuredOnly Claude Fable 5.1 measured
Design Arena: ASCII art1323Not measuredOnly Claude Fable 5.1 measured
LiveBench design83.4%Not measuredOnly Claude Fable 5.1 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Claude Fable 5.1 and GPT-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
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%Not measuredOnly Claude Fable 5.1 measured
MedScribe (Vals AI)91.3%Not measuredOnly Claude Fable 5.1 measured
IFBenchNot measured77.6%Only GPT-5.2-Codex measured
Long context reasoning (AA-LCR)85.3%82.3%Claude Fable 5.1
DTBench97.6%Not measuredOnly Claude Fable 5.1 measured
LMCA65.5%Not measuredOnly Claude Fable 5.1 measured
Furniture assembly70.0%Not measuredOnly Claude Fable 5.1 measured
LMArena Text1512Not measuredOnly Claude Fable 5.1 measured
LMArena Text: instruction following1518Not measuredOnly Claude Fable 5.1 measured
LMArena Text: creative writing1509Not measuredOnly Claude Fable 5.1 measured
LMArena Vision1319Not measuredOnly Claude Fable 5.1 measured
LMArena Text: English1506Not measuredOnly Claude Fable 5.1 measured
LMArena Text: non-English1508Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Chinese1584Not measuredOnly Claude Fable 5.1 measured
LMArena Text: German1499Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Japanese1562Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Korean1517Not measuredOnly Claude Fable 5.1 measured
LMArena Text: French1523Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Spanish1520Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Russian1520Not measuredOnly Claude Fable 5.1 measured
LMArena Text: Polish1525Not measuredOnly Claude Fable 5.1 measured
LMArena Text: multi-turn1493Not measuredOnly Claude Fable 5.1 measured
LMArena Text: longer queries1524Not measuredOnly Claude Fable 5.1 measured
LMArena Text: writing and language1510Not measuredOnly Claude Fable 5.1 measured
LMArena Text: entertainment and media1497Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: English1313Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: Chinese1391Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: reading text1327Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: humor1318Not measuredOnly Claude Fable 5.1 measured
LMArena Vision: creative writing1330Not measuredOnly Claude Fable 5.1 measured
Neither model has a result on the other 14 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-5.2-Codex
BenchmarkClaude Fable 5.1GPT-5.2-CodexLeader
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-5.2-Codex$0.0088Fits in one request

GPT-5.2-Codex costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.1$0.650Fits in one request
GPT-5.2-Codex$0.130Fits in one request

GPT-5.2-Codex costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.1$2.50Fits in one request
GPT-5.2-Codex$0.490Fits in one request

GPT-5.2-Codex 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-5.2-Codex
SpecificationAnthropic Claude Fable 5.1OpenAI GPT-5.2-Codex
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 1, 2026January 14, 2026
Context window1M400K
Input $/Mtok$10.00$1.75
Output $/Mtok$50.00$14.00
Coding index84.245.4
Independent measurements behind it53
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than GPT-5.2-Codex for coding?

Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex. Pick GPT-5.2-Codex for output tokens 3.6x cheaper ($14.00 vs $50.00 per million).

Which is cheaper, Claude Fable 5.1 or GPT-5.2-Codex?

Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens; GPT-5.2-Codex costs $1.75 and $14.00. Cost per solved task is known for GPT-5.2-Codex only.

Which has the bigger context window, Claude Fable 5.1 or GPT-5.2-Codex?

Claude Fable 5.1, with 1M tokens against 400K.

How many benchmarks is the Claude Fable 5.1 vs GPT-5.2-Codex comparison based on?

14 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5.1's coding index rests on 5 independent benchmarks and GPT-5.2-Codex's on 3. Where only one model has a result, the page says so instead of naming a winner.

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