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Claude Opus 4.1 vs GPT-4

Claude Opus 4.1 leads GPT-4 on the Artificial Analysis Intelligence Index, 22.8 to 6.7, and GPT-4 costs 1.3x less per output token ($60.00 vs $75.00 per million). Updated October 21, 2026; 32 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GPT-4
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
32
GPT-4OpenAI
Coding
No data
Overall
No data
Output $/M
$60.00
0
vs boards won of 32 shared

Claude Opus 4.1 or GPT-4: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for a larger context window (200K against 8K tokens).

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
32
Claude Opus 4.1 only
41
GPT-4 only
13
Like-for-like categories
6 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 Opus 4.1 not benchmarked, GPT-4 not benchmarked.
Widest category
Coding, 44.3 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Korean: Claude Opus 4.1 1381 against GPT-4 1087, 48.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-4 $60.00 per million output tokens, 1.3x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-4 8K.

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 4.1BarsGPT-4Ties
Coding20
Intelligence20
Reasoning30
Math20
Knowledge40
General190
All shared boards320
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
SWE-bench VerifiedNot measured22.4%Only GPT-4 measured
SWE-bench LiteNot measured39.7%Only GPT-4 measured
SWE-bench (full test set)Not measured12.5%Only GPT-4 measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured13.1Only GPT-4 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791209Claude Opus 4.1
LMArena Text: software and IT14561195Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
AA Intelligence Index22.86.7Claude Opus 4.1
Epoch Capabilities Index144.1125.7Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured34.9%Only GPT-4 measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
BIG-Bench HardNot measured75.1%Only GPT-4 measured
LMArena Text: hard prompts14421200Claude Opus 4.1
LMArena Text: expert14381149Claude Opus 4.1
LMArena Text: hard prompts in English14511209Claude Opus 4.1
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
GSM8KNot measured92.0%Only GPT-4 measured
LMArena Text: math14311230Claude Opus 4.1
LMArena Text: mathematical work14341228Claude Opus 4.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured56.2%Only GPT-4 measured
MMLUNot measured86.4%Only GPT-4 measured
AI2 Reasoning ChallengeNot measured96.3%Only GPT-4 measured
LMArena Text: science14221177Claude Opus 4.1
LMArena Text: medicine and healthcare14161145Claude Opus 4.1
LMArena Text: legal and government14211191Claude Opus 4.1
LMArena Text: business and finance14061145Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
Design Arena: websites1177Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1165Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1153Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured33.2%Only GPT-4 measured
DTBench80.0%62.7%Claude Opus 4.1
LMCA37.1%17.1%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
HellaSwagNot measured95.3%Only GPT-4 measured
WinoGrandeNot measured87.5%Only GPT-4 measured
LMArena Text14191206Claude Opus 4.1
LMArena Text: instruction following14351201Claude Opus 4.1
LMArena Text: creative writing14121191Claude Opus 4.1
LMArena Text: English14331220Claude Opus 4.1
LMArena Text: non-English14051194Claude Opus 4.1
LMArena Text: Chinese14271184Claude Opus 4.1
LMArena Text: German14131198Claude Opus 4.1
LMArena Text: Japanese13771137Claude Opus 4.1
LMArena Text: Korean13811087Claude Opus 4.1
LMArena Text: French14331220Claude Opus 4.1
LMArena Text: Spanish14481197Claude Opus 4.1
LMArena Text: Russian14221195Claude Opus 4.1
LMArena Text: Polish14131265Claude Opus 4.1
LMArena Text: multi-turn14441206Claude Opus 4.1
LMArena Text: longer queries14551190Claude Opus 4.1
LMArena Text: writing and language14181219Claude Opus 4.1
LMArena Text: entertainment and media13981184Claude Opus 4.1
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and GPT-4
BenchmarkClaude Opus 4.1GPT-4Leader
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 4.1$0.052Fits in one request
GPT-4$0.060Fits in one request

Claude Opus 4.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-4$1.68Exceeds the context window

Claude Opus 4.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-4$6.60Exceeds the context window

Claude Opus 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 4.1 and GPT-4
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-4
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025May 28, 2023
Context window200K8K
Input $/Mtok$15.00$30.00
Output $/Mtok$75.00$60.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than GPT-4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 8K tokens).

Which is cheaper, Claude Opus 4.1 or GPT-4?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-4 costs $30.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or GPT-4?

Claude Opus 4.1, with 200K tokens against 8K.

How many benchmarks is the Claude Opus 4.1 vs GPT-4 comparison based on?

32 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and GPT-4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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