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Claude Opus 4.5 vs GPT-4.1

Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.5Anthropic
Coding
66.8
Overall
29.1
Output $/M
$25.00
69
GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
2
vs boards won of 71 shared

Decision reading

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 46.5 for GPT-4.1.

Pick GPT-4.1 when output tokens cost 3.1x less, or when a solved task costs $0.37 against $1.37.

Shared results
71
Claude Opus 4.5 only
34
GPT-4.1 only
16
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 4.5 66.8 from 2 benchmarks, GPT-4.1 46.5 from 2 benchmarks.
Widest category
Agentic work, 42.4 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI: Claude Opus 4.5 80.0% against GPT-4.1 5.5%, 74.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against GPT-4.1 $8.00 per million output tokens, 3.1x apart.
Context window
Claude Opus 4.5 takes 200K tokens, GPT-4.1 1.05M.

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 4.5BarsGPT-4.1Ties
Coding70
Intelligence20
Agentic work10
Reasoning120
Math80
Knowledge122
Web design60
General210
All shared boards692
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench Verified79.2%39.6%Claude Opus 4.5
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%54.7%Claude Opus 4.5
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%45.7%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%13.6%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%39.0%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
ALE-BenchNot measured558.1Only GPT-4.1 measured
LMArena Text: coding15031390Claude Opus 4.5
LMArena Text: software and IT14831391Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
AA Intelligence Index29.112.7Claude Opus 4.5
Epoch Capabilities Index150.1136.7Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1181Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%47.1%Claude Opus 4.5
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
GPQA Diamond85.9%65.4%Claude Opus 4.5
MMMU Pro (Vals AI)83.0%72.4%Claude Opus 4.5
GPQA Diamond (Artificial Analysis run)86.6%66.6%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%4.2%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%66.9%Claude Opus 4.5
ARC-AGI80.0%5.5%Claude Opus 4.5
ARC-AGI-237.6%0.4%Claude Opus 4.5
SimpleBench62.0%27.0%Claude Opus 4.5
Chess puzzles14.0%3.0%Claude Opus 4.5
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761384Claude Opus 4.5
LMArena Text: expert14871364Claude Opus 4.5
LMArena Text: hard prompts in English14821393Claude Opus 4.5
LMArena Vision: diagramsNot measured1215Only GPT-4.1 measured
LMArena Vision: homeworkNot measured1248Only GPT-4.1 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index80
Math benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
AIME95.4%39.6%Claude Opus 4.5
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)95.2%87.7%Claude Opus 4.5
AA Math Index91.334.7Claude Opus 4.5
AIME 2025 (Artificial Analysis run)91.3%34.7%Claude Opus 4.5
OTIS Mock AIME86.1%38.3%Claude Opus 4.5
FrontierMath, tiers 1 to 334.4%6.0%Claude Opus 4.5
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math14631369Claude Opus 4.5
LMArena Text: mathematical work14681360Claude Opus 4.5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index122
Knowledge benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
MMLU Pro87.3%80.5%Claude Opus 4.5
LegalBench (Vals AI)84.6%83.1%Claude Opus 4.5
CaseLaw (Vals AI)62.6%69.9%GPT-4.1
CorpFin (Vals AI)65.1%63.0%Claude Opus 4.5
TaxEval (Vals AI)74.9%75.1%GPT-4.1
MortgageTax (Vals AI)68.7%65.9%Claude Opus 4.5
MedQA (Vals AI)95.9%91.2%Claude Opus 4.5
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%80.6%Claude Opus 4.5
SimpleQA Verified45.7%31.1%Claude Opus 4.5
GeoBench75.0%72.0%Claude Opus 4.5
LMArena Text: science14541382Claude Opus 4.5
LMArena Text: medicine and healthcare14441379Claude Opus 4.5
LMArena Text: legal and government14591399Claude Opus 4.5
LMArena Text: business and finance14481369Claude Opus 4.5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
Design Arena: websites12471039Claude Opus 4.5
Design Arena: UI components12381000Claude Opus 4.5
Design Arena: game dev12291080Claude Opus 4.5
Design Arena: data viz12431104Claude Opus 4.5
Design Arena: 3D1214850Claude Opus 4.5
Design Arena: all code categories12421026Claude Opus 4.5
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%43.0%Claude Opus 4.5
Long context reasoning (AA-LCR)77.3%68.3%Claude Opus 4.5
DTBench89.9%68.3%Claude Opus 4.5
LMCA44.5%25.6%Claude Opus 4.5
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511383Claude Opus 4.5
LMArena Text: instruction following14781367Claude Opus 4.5
LMArena Text: creative writing14451363Claude Opus 4.5
LMArena VisionNot measured1210Only GPT-4.1 measured
LMArena Text: English14611392Claude Opus 4.5
LMArena Text: non-English14381370Claude Opus 4.5
LMArena Text: Chinese14701382Claude Opus 4.5
LMArena Text: German14491381Claude Opus 4.5
LMArena Text: Japanese14171319Claude Opus 4.5
LMArena Text: Korean14241338Claude Opus 4.5
LMArena Text: French14711382Claude Opus 4.5
LMArena Text: Spanish14571376Claude Opus 4.5
LMArena Text: Russian14471377Claude Opus 4.5
LMArena Text: Polish14391389Claude Opus 4.5
LMArena Text: multi-turn14661397Claude Opus 4.5
LMArena Text: longer queries14791385Claude Opus 4.5
LMArena Text: writing and language14521371Claude Opus 4.5
LMArena Text: entertainment and media14341365Claude Opus 4.5
LMArena Vision: EnglishNot measured1209Only GPT-4.1 measured
LMArena Vision: ChineseNot measured1226Only GPT-4.1 measured
LMArena Vision: reading textNot measured1218Only GPT-4.1 measured
LMArena Vision: humorNot measured1196Only GPT-4.1 measured
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writingNot measured1210Only GPT-4.1 measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and GPT-4.1
BenchmarkClaude Opus 4.5GPT-4.1Leader
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 Opus 4.5$0.018Fits in one request
GPT-4.1$0.0060Fits in one request

GPT-4.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
GPT-4.1$0.124Fits in one request

GPT-4.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
GPT-4.1$0.480Fits in one request

GPT-4.1 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 Opus 4.5 and GPT-4.1
SpecificationAnthropic Claude Opus 4.5OpenAI GPT-4.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025April 14, 2025
Context window200K1.05M
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$8.00
Coding index66.846.5
Independent measurements behind it22
Cost per solved task$1.37$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than GPT-4.1 for coding?

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 46.5 for GPT-4.1. Pick GPT-4.1 when output tokens cost 3.1x less, or when a solved task costs $0.37 against $1.37.

Which is cheaper, Claude Opus 4.5 or GPT-4.1?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and GPT-4.1 $0.37.

Which has the bigger context window, Claude Opus 4.5 or GPT-4.1?

GPT-4.1, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs GPT-4.1 comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 2 independent benchmarks and GPT-4.1's on 2. Where only one model has a result, the page says so instead of naming a winner.

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