Enter opens the highlighted result. Esc closes.

Claude Fable 5.2 vs GPT-5.2-Codex

Claude Fable 5.2 leads GPT-5.2-Codex on coding, 87.8 to 45.4 on the Vibe Coding Index, and GPT-5.2-Codex costs 2.9x less per output token ($14.00 vs $40.00 per million). Updated November 14, 2026; 9 benchmarks have a result for both.

Claude Fable 5.2Anthropic
Coding
87.8
Overall
91.7
Output $/M
$40.00
9
GPT-5.2-CodexOpenAI
Coding
45.4
Overall
No data
Output $/M
$14.00
0
vs boards won of 9 shared

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

Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex.

Pick GPT-5.2-Codex for output tokens 2.9x cheaper ($14.00 vs $40.00 per million).

Shared results
9
Claude Fable 5.2 only
59
GPT-5.2-Codex only
13
Like-for-like categories
4 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 5.2 87.8 from 4 benchmarks, GPT-5.2-Codex 45.4 from 3 benchmarks.
Widest category
Coding, 50.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: Claude Fable 5.2 1838 against GPT-5.2-Codex 1339, 71.3 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.2 $40.00 against GPT-5.2-Codex $14.00 per million output tokens, 2.9x apart.
Context window
Claude Fable 5.2 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 5.2BarsGPT-5.2-CodexTies
Coding50
Agentic work20
Reasoning10
General10
All shared boards90
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-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 coding79.2%Not measuredOnly Claude Fable 5.2 measured
LMArena WebDev18381339Claude Fable 5.2
LiveCodeBench (Vals AI)Not measured88.0%Only GPT-5.2-Codex measured
SWE-bench Verified (Vals AI)Not measured72.4%Only GPT-5.2-Codex measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Fable 5.2 measured
Vibe Code Bench (Vals AI)93.8%37.9%Claude Fable 5.2
ProgramBench (Vals AI)19.0%Not measuredOnly Claude Fable 5.2 measured
SWE-bench Multimodal (Vals AI)62.3%Not measuredOnly Claude Fable 5.2 measured
SciCode67.7%Not measuredOnly Claude Fable 5.2 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.1%Only GPT-5.2-Codex measured
Terminal-Bench 4.0 (Artificial Analysis run)61.6%Not measuredOnly Claude Fable 5.2 measured
FrontierCode 2.049.1%Not measuredOnly Claude Fable 5.2 measured
Terminal-BenchNot measured66.5%Only GPT-5.2-Codex measured
FrontierSWE69.9%Not measuredOnly Claude Fable 5.2 measured
ALE-Bench2509.81299.9Claude Fable 5.2
LMArena WebDev: React19151329Claude Fable 5.2
LMArena WebDev: HTML17381348Claude Fable 5.2
GameBench 299.1Not measuredOnly Claude Fable 5.2 measured
Terminal-Bench 2.0Not measured66.5%Only GPT-5.2-Codex measured
CursorBench 4.060.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
AA Intelligence Index64.6Not measuredOnly Claude Fable 5.2 measured
Epoch Capabilities Index173.4Not measuredOnly Claude Fable 5.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
Design Arena: agents building web appsNot measured1027Only GPT-5.2-Codex measured
Design Arena: agents building full-stack apps1402967Claude Fable 5.2
Design Arena: agents building mobile apps13251082Claude Fable 5.2
Design Arena: agents building Android appsNot measured1176Only GPT-5.2-Codex measured
Design Arena: agents building Godot gamesNot measured1142Only GPT-5.2-Codex measured
Design Arena: spreadsheets1434Not measuredOnly Claude Fable 5.2 measured
LiveBench research94.5%Not measuredOnly Claude Fable 5.2 measured
LiveBench browser86.9%Not measuredOnly Claude Fable 5.2 measured
LiveBench long agentic82.9%Not measuredOnly Claude Fable 5.2 measured
Tax Agent Bench (Vals AI)32.1%Not measuredOnly Claude Fable 5.2 measured
Legal Research Bench (Vals AI)46.1%Not measuredOnly Claude Fable 5.2 measured
Harvey's Legal Agent Benchmark (Vals AI)5.0%Not measuredOnly Claude Fable 5.2 measured
BioMysteryBench (Vals AI)83.7%Not measuredOnly Claude Fable 5.2 measured
Terminal-Bench-Science (Vals AI)55.7%Not measuredOnly Claude Fable 5.2 measured
Vals Science Index63.7%Not measuredOnly Claude Fable 5.2 measured
τ²-Bench TelecomNot measured92.1%Only GPT-5.2-Codex measured
APEX-Agents80.1%Not measuredOnly Claude Fable 5.2 measured
Remote Labor Index41.3%Not measuredOnly Claude Fable 5.2 measured
SpireClimb15.5%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
LiveBench reasoning88.8%Not measuredOnly Claude Fable 5.2 measured
MysteryMechanism (Vals AI)51.8%Not measuredOnly Claude Fable 5.2 measured
GPQA Diamond (Artificial Analysis run)Not measured89.9%Only GPT-5.2-Codex measured
Humanity's Last Exam (Artificial Analysis run)74.3%35.7%Claude Fable 5.2
HLE-Diamond (Artificial Analysis run)80.2%Not measuredOnly Claude Fable 5.2 measured
CritPt v2, hard subset (Artificial Analysis run)76.5%Not measuredOnly Claude Fable 5.2 measured
GPQA Diamond (Epoch AI run)93.9%Not measuredOnly Claude Fable 5.2 measured
ARC-AGI98.5%Not measuredOnly Claude Fable 5.2 measured
ARC-AGI-293.8%Not measuredOnly Claude Fable 5.2 measured
SimpleBench94.9%Not measuredOnly Claude Fable 5.2 measured
Chess puzzles79.0%Not measuredOnly Claude Fable 5.2 measured
Mystery game puzzles90.0%Not measuredOnly Claude Fable 5.2 measured
EBR-bench90.5%Not measuredOnly Claude Fable 5.2 measured
Humanity's Last Exam (Scale run)72.4%Not measuredOnly Claude Fable 5.2 measured
GoBench2566Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
OTIS Mock AIME99.7%Not measuredOnly Claude Fable 5.2 measured
FrontierMath, tiers 1 to 395.1%Not measuredOnly Claude Fable 5.2 measured
FrontierMath, tier 4100.0%Not measuredOnly Claude Fable 5.2 measured
ProofBench100.0%Not measuredOnly Claude Fable 5.2 measured
MathArena82.8%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
AA-Omniscience66.8Not measuredOnly Claude Fable 5.2 measured
SimpleQA Verified94.0%Not measuredOnly Claude Fable 5.2 measured
PRBench Finance47.1%Not measuredOnly Claude Fable 5.2 measured
PRBench Legal49.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 17 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
Design Arena: websites1351Not measuredOnly Claude Fable 5.2 measured
Design Arena: UI components1371Not measuredOnly Claude Fable 5.2 measured
Design Arena: game dev1396Not measuredOnly Claude Fable 5.2 measured
Design Arena: 3D1517Not measuredOnly Claude Fable 5.2 measured
Design Arena: all code categories1373Not measuredOnly Claude Fable 5.2 measured
LiveBench design85.1%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-5.2-CodexLeader
Vals Index71.3%Not measuredOnly Claude Fable 5.2 measured
LiveBench data analysis81.5%Not measuredOnly Claude Fable 5.2 measured
IFBenchNot measured77.6%Only GPT-5.2-Codex measured
Long context reasoning (AA-LCR)83.3%82.3%Claude Fable 5.2
GDPval-AA1831Not measuredOnly Claude Fable 5.2 measured
DTBench99.2%Not measuredOnly Claude Fable 5.2 measured
LMCA70.6%Not measuredOnly Claude Fable 5.2 measured
Furniture assembly90.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5.2 and GPT-5.2-Codex
BenchmarkClaude Fable 5.2GPT-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 5.2$0.028Fits 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 5.2$0.520Fits 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 5.2$2.00Fits 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 5.2 and GPT-5.2-Codex
SpecificationAnthropic Claude Fable 5.2OpenAI GPT-5.2-Codex
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 9, 2026January 14, 2026
Context window1M400K
Input $/Mtok$8.00$1.75
Output $/Mtok$40.00$14.00
Coding index87.845.4
Independent measurements behind it43
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex. Pick GPT-5.2-Codex for output tokens 2.9x cheaper ($14.00 vs $40.00 per million).

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

Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 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 5.2 or GPT-5.2-Codex?

Claude Fable 5.2, with 1M tokens against 400K.

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

9 benchmarks have a result for both models as of November 14, 2026. Claude Fable 5.2's coding index rests on 4 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.

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-5-2-vs-gpt-5-2-codex" title="Claude Fable 5.2 vs GPT-5.2-Codex, 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-5-2-vs-gpt-5-2-codex">LLMBenchmark.ai, Claude Fable 5.2 vs GPT-5.2-Codex</a></p>