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Claude Sonnet 4.6 vs GPT-5.2-Codex

Claude Sonnet 4.6 leads GPT-5.2-Codex on coding, 57.3 to 45.4 on the Vibe Coding Index, at about the same output price ($15.00 vs $14.00 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
12
GPT-5.2-CodexOpenAI
Coding
45.4
Overall
No data
Output $/M
$14.00
7
vs boards won of 19 shared

Claude Sonnet 4.6 or GPT-5.2-Codex: which to pick

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex.

Pick GPT-5.2-Codex for output tokens 1.1x cheaper ($14.00 vs $15.00 per million) and a lower cost per solved task ($0.43 against $1.68).

Shared results
19
Claude Sonnet 4.6 only
99
GPT-5.2-Codex only
3
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 Sonnet 4.6 57.3 from 5 benchmarks, GPT-5.2-Codex 45.4 from 3 benchmarks.
Widest category
Coding, 18.0 points apart on average over 8 shared benchmarks.
Widest single gap
LMArena WebDev: React: Claude Sonnet 4.6 1512 against GPT-5.2-Codex 1329, 30.5 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GPT-5.2-Codex $14.00 per million output tokens, 1.1x apart.
Context window
Claude Sonnet 4.6 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 Sonnet 4.6BarsGPT-5.2-CodexTies
Coding62
Intelligence10
Agentic work51
Reasoning02
General02
All shared boards127
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-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 coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231339Claude Sonnet 4.6
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%88.0%GPT-5.2-Codex
SWE-bench Verified (Vals AI)77.4%72.4%Claude Sonnet 4.6
Vibe Code Bench (Vals AI)55.8%37.9%Claude Sonnet 4.6
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%37.1%Claude Sonnet 4.6
Terminal-Bench53.4%66.5%GPT-5.2-Codex
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured1299.9Only GPT-5.2-Codex measured
LMArena Text: coding1503Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: software and IT1491Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: React15121329Claude Sonnet 4.6
LMArena WebDev: HTML15271348Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
AA Intelligence Index30.128.5Claude Sonnet 4.6
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps11901051Claude Sonnet 4.6
Design Arena: agents building full-stack apps1213993Claude Sonnet 4.6
Design Arena: agents building mobile apps12121090Claude Sonnet 4.6
Design Arena: agents building Android apps11971176Claude Sonnet 4.6
Design Arena: agents building Godot games12261142Claude Sonnet 4.6
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%92.1%GPT-5.2-Codex
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%89.9%GPT-5.2-Codex
Humanity's Last Exam (Artificial Analysis run)33.6%35.7%GPT-5.2-Codex
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts1485Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: expert1500Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts in English1493Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math1462Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: mathematical work1483Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science1474Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: medicine and healthcare1451Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: legal and government1470Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: business and finance1464Not measuredOnly Claude Sonnet 4.6 measured
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
Design Arena: websites1284Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: UI components1269Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: game dev1258Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: data viz1278Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: 3D1234Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: all code categories1275Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: SVG1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-5.2-CodexLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%77.6%GPT-5.2-Codex
Long context reasoning (AA-LCR)80.0%82.3%GPT-5.2-Codex
DTBench89.9%Not measuredOnly Claude Sonnet 4.6 measured
LMCA46.5%Not measuredOnly Claude Sonnet 4.6 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text1458Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: instruction following1476Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: creative writing1435Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English1472Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: non-English1440Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Chinese1491Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: German1428Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean1410Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: French1465Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Spanish1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Russian1440Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Polish1443Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: multi-turn1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: longer queries1479Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: writing and language1444Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: entertainment and media1431Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.6 and GPT-5.2-Codex
BenchmarkClaude Sonnet 4.6GPT-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 Sonnet 4.6$0.011Fits 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 Sonnet 4.6$0.195Fits 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 Sonnet 4.6$0.750Fits 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 Sonnet 4.6 and GPT-5.2-Codex
SpecificationAnthropic Claude Sonnet 4.6OpenAI GPT-5.2-Codex
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026January 14, 2026
Context window1M400K
Input $/Mtok$3.00$1.75
Output $/Mtok$15.00$14.00
Coding index57.345.4
Independent measurements behind it53
Cost per solved task$1.68$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than GPT-5.2-Codex for coding?

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex. Pick GPT-5.2-Codex for output tokens 1.1x cheaper ($14.00 vs $15.00 per million) and a lower cost per solved task ($0.43 against $1.68).

Which is cheaper, Claude Sonnet 4.6 or GPT-5.2-Codex?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-5.2-Codex costs $1.75 and $14.00. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and GPT-5.2-Codex $0.43.

Which has the bigger context window, Claude Sonnet 4.6 or GPT-5.2-Codex?

Claude Sonnet 4.6, with 1M tokens against 400K.

How many benchmarks is the Claude Sonnet 4.6 vs GPT-5.2-Codex comparison based on?

19 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6'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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