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Claude Opus 5.5 vs GPT-5.2

Updated October 21, 2026. 67 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 5.5 Replace GPT-5.2
Claude Opus 5.5Anthropic
Coding
92.2
Overall
57.6
Output $/M
$20.00
65
GPT-5.2OpenAI
Coding
58.9
Overall
30.4
Output $/M
$14.00
2
vs boards won of 67 shared

Decision reading

Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 58.9 for GPT-5.2.

Pick GPT-5.2 when output tokens cost 1.4x less, or when what matters is GPQA Diamond (Epoch AI run) or SAGE (Vals AI), where it leads.

Model AClaude Opus 5.5Anthropic92.2/1002 independent benchmarksNo cost per solved taskModel BGPT-5.2OpenAI58.9/1002 independent benchmarks$1.91 per solved task
Shared results
67
Claude Opus 5.5 only
40
GPT-5.2 only
44
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 Opus 5.5 92.2 from 2 benchmarks, GPT-5.2 58.9 from 2 benchmarks.
Widest category
Math, 33.5 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 5.5 100.0% against GPT-5.2 15.0%, 85.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against GPT-5.2 $14.00 per million output tokens, 1.4x apart.
Context window
Claude Opus 5.5 takes 1M tokens, GPT-5.2 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 Opus 5.5BarsGPT-5.2Ties
Coding60
Intelligence20
Agentic work40
Reasoning111
Math60
Knowledge60
Web design70
General231
All shared boards652
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
SWE-bench VerifiedNot measured72.8%Only GPT-5.2 measured
SWE-bench MultilingualNot measured66.7%Only GPT-5.2 measured
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev18071417Claude Opus 5.5
LiveCodeBench (Vals AI)Not measured85.4%Only GPT-5.2 measured
SWE-bench Verified (Vals AI)Not measured75.8%Only GPT-5.2 measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%53.5%Claude Opus 5.5
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GPT-5.2 measured
SciCode66.9%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only GPT-5.2 measured
Terminal-BenchNot measured64.9%Only GPT-5.2 measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
GSO-BenchNot measured27.5%Only GPT-5.2 measured
WeirdMLNot measured72.2%Only GPT-5.2 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.41293.5Claude Opus 5.5
LMArena Text: coding15451442Claude Opus 5.5
LMArena Text: software and IT15381434Claude Opus 5.5
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML17531427Claude Opus 5.5
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 8 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
AA Intelligence Index57.630.4Claude Opus 5.5
Epoch Capabilities Index168.8153.7Claude Opus 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
Design Arena: agents building web apps13161086Claude Opus 5.5
Design Arena: agents building full-stack appsNot measured1043Only GPT-5.2 measured
Design Arena: agents building mobile apps13111094Claude Opus 5.5
Design Arena: agents building Android appsNot measured1064Only GPT-5.2 measured
Design Arena: agents building Godot gamesNot measured1142Only GPT-5.2 measured
Design Arena: spreadsheets1359Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured84.8%Only GPT-5.2 measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
METR time horizonsNot measured75.3%Only GPT-5.2 measured
Remote Labor Index21.3%2.5%Claude Opus 5.5
GDPvalNot measured49.7%Only GPT-5.2 measured
DeepResearch BenchNot measured41.1%Only GPT-5.2 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235$3,591Claude Opus 5.5
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 9 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index111
Reasoning benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
GPQA DiamondNot measured91.7%Only GPT-5.2 measured
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
MMMU Pro (Vals AI)Not measured86.7%Only GPT-5.2 measured
GPQA Diamond (Artificial Analysis run)Not measured90.3%Only GPT-5.2 measured
Humanity's Last Exam (Artificial Analysis run)61.4%37.7%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%91.4%GPT-5.2
ARC-AGI98.5%86.2%Claude Opus 5.5
ARC-AGI-293.3%52.9%Claude Opus 5.5
SimpleBenchNot measured45.8%Only GPT-5.2 measured
Chess puzzles67.0%48.0%Claude Opus 5.5
Mystery game puzzles71.0%23.0%Claude Opus 5.5
EBR-bench71.4%23.0%Claude Opus 5.5
VPCTNot measured84.0%Only GPT-5.2 measured
LMArena Text: hard prompts15361428Claude Opus 5.5
LMArena Text: expert15491445Claude Opus 5.5
LMArena Text: hard prompts in English15351431Claude Opus 5.5
LMArena Vision: diagrams13451265Claude Opus 5.5
LMArena Vision: homework13621276Claude Opus 5.5
Neither model has a result on the other 2 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
AIMENot measured96.9%Only GPT-5.2 measured
MGSM (Vals AI)Not measured94.0%Only GPT-5.2 measured
AA Math IndexNot measured99.0Only GPT-5.2 measured
AIME 2025 (Artificial Analysis run)Not measured99.0%Only GPT-5.2 measured
OTIS Mock AIME100.0%96.1%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%67.4%Claude Opus 5.5
FrontierMath, tier 495.0%31.7%Claude Opus 5.5
ProofBench100.0%15.0%Claude Opus 5.5
LMArena Text: math15181440Claude Opus 5.5
LMArena Text: mathematical work15161442Claude Opus 5.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
MMLU ProNot measured86.2%Only GPT-5.2 measured
LegalBench (Vals AI)Not measured82.8%Only GPT-5.2 measured
CaseLaw (Vals AI)Not measured66.0%Only GPT-5.2 measured
CorpFin (Vals AI)Not measured65.9%Only GPT-5.2 measured
TaxEval (Vals AI)Not measured75.8%Only GPT-5.2 measured
MortgageTax (Vals AI)Not measured67.1%Only GPT-5.2 measured
MedQA (Vals AI)Not measured94.1%Only GPT-5.2 measured
MedCode (Vals AI)49.8%49.8%Claude Opus 5.5
MMLU Pro (Artificial Analysis run)Not measured87.4%Only GPT-5.2 measured
SimpleQA Verified72.2%37.1%Claude Opus 5.5
LMArena Text: science15241425Claude Opus 5.5
LMArena Text: medicine and healthcare15091425Claude Opus 5.5
LMArena Text: legal and government15181427Claude Opus 5.5
LMArena Text: business and finance14941414Claude Opus 5.5
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
Design Arena: websites13351196Claude Opus 5.5
Design Arena: UI components13901190Claude Opus 5.5
Design Arena: game dev14571196Claude Opus 5.5
Design Arena: data viz13971202Claude Opus 5.5
Design Arena: 3D14771079Claude Opus 5.5
Design Arena: all code categories13901171Claude Opus 5.5
Design Arena: SVG13321137Claude Opus 5.5
Design Arena: ASCII artNot measured1153Only GPT-5.2 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index231
General benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%49.3%GPT-5.2
MedScribe (Vals AI)91.4%84.4%Claude Opus 5.5
IFBenchNot measured75.4%Only GPT-5.2 measured
Long context reasoning (AA-LCR)84.7%82.7%Claude Opus 5.5
DTBench98.9%90.9%Claude Opus 5.5
LMCA68.2%43.9%Claude Opus 5.5
CL-benchNot measured18.2%Only GPT-5.2 measured
Furniture assembly83.3%38.3%Claude Opus 5.5
LMArena Text15161416Claude Opus 5.5
LMArena Text: instruction following15371409Claude Opus 5.5
LMArena Text: creative writing15351376Claude Opus 5.5
LMArena Vision13211246Claude Opus 5.5
LMArena Text: English15191422Claude Opus 5.5
LMArena Text: non-English15071405Claude Opus 5.5
LMArena Text: Chinese15821447Claude Opus 5.5
LMArena Text: GermanNot measured1444Only GPT-5.2 measured
LMArena Text: Japanese15341420Claude Opus 5.5
LMArena Text: KoreanNot measured1374Only GPT-5.2 measured
LMArena Text: French14931454Claude Opus 5.5
LMArena Text: Spanish15081413Claude Opus 5.5
LMArena Text: Russian15171415Claude Opus 5.5
LMArena Text: PolishNot measured1426Only GPT-5.2 measured
LMArena Text: multi-turn15011419Claude Opus 5.5
LMArena Text: longer queries15321413Claude Opus 5.5
LMArena Text: writing and language15321392Claude Opus 5.5
LMArena Text: entertainment and media15151378Claude Opus 5.5
LMArena Vision: English13171243Claude Opus 5.5
LMArena Vision: ChineseNot measured1305Only GPT-5.2 measured
LMArena Vision: reading text13261257Claude Opus 5.5
LMArena Vision: humorNot measured1227Only GPT-5.2 measured
LMArena Vision: captioningNot measured1267Only GPT-5.2 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.2 measured
LMArena Vision: creative writing13201225Claude Opus 5.5
LMArena DocumentNot measured1405Only GPT-5.2 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5.5 and GPT-5.2
BenchmarkClaude Opus 5.5GPT-5.2Leader
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 Opus 5.5$0.014Fits in one request
GPT-5.2$0.0088Fits in one request

GPT-5.2 costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
GPT-5.2$0.130Fits in one request

GPT-5.2 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
GPT-5.2$0.490Fits in one request

GPT-5.2 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 Opus 5.5 and GPT-5.2
SpecificationAnthropic Claude Opus 5.5OpenAI GPT-5.2
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026December 10, 2025
Context window1M400K
Input $/Mtok$4.00$1.75
Output $/Mtok$20.00$14.00
Coding index92.258.9
Independent measurements behind it22
Cost per solved taskNot computable$1.91
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than GPT-5.2 for coding?

Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 58.9 for GPT-5.2. Pick GPT-5.2 when output tokens cost 1.4x less, or when what matters is GPQA Diamond (Epoch AI run) or SAGE (Vals AI), where it leads.

Which is cheaper, Claude Opus 5.5 or GPT-5.2?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; GPT-5.2 costs $1.75 and $14.00. Cost per solved task is known for GPT-5.2 only.

Which has the bigger context window, Claude Opus 5.5 or GPT-5.2?

Claude Opus 5.5, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 5.5 vs GPT-5.2 comparison based on?

67 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 2 independent benchmarks and GPT-5.2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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