Enter opens the highlighted result. Esc closes.

Claude Opus 4.1 vs GPT-4.1 Mini

Claude Opus 4.1 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 22.8 to 10.2, and GPT-4.1 Mini costs 46.9x less per output token ($1.60 vs $75.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GPT-4.1 Mini
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
53
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
1
vs boards won of 54 shared

Claude Opus 4.1 or GPT-4.1 Mini: which to pick

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

Pick Claude Opus 4.1 for work measured by MortgageTax (Vals AI), where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved task
Shared results
54
Claude Opus 4.1 only
19
GPT-4.1 Mini only
32
Like-for-like categories
7 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-4.1 Mini not benchmarked.
Widest category
Web design, 23.1 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: Claude Opus 4.1 1152 against GPT-4.1 Mini 836, 39.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-4.1 Mini $1.60 per million output tokens, 46.9x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-4.1 Mini 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 4.1BarsGPT-4.1 MiniTies
Coding40
Intelligence20
Reasoning70
Math70
Knowledge81
Web design60
General190
All shared boards531
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
Aider polyglotNot measured32.4%Only GPT-4.1 Mini measured
SWE-bench VerifiedNot measured23.9%Only GPT-4.1 Mini measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured20.2Only GPT-4.1 Mini measured
LiveCodeBench (Vals AI)66.5%58.2%Claude Opus 4.1
LiveCodeBench (Artificial Analysis run)Not measured48.3%Only GPT-4.1 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured7.6%Only GPT-4.1 Mini measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%37.6%Claude Opus 4.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791367Claude Opus 4.1
LMArena Text: software and IT14561360Claude 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 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
AA Intelligence Index22.810.2Claude Opus 4.1
Epoch Capabilities Index144.1134.9Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
τ²-Bench TelecomNot measured52.9%Only GPT-4.1 Mini measured
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
Berkeley Function Calling Leaderboard (BFCL)Not measured50.4%Only GPT-4.1 Mini measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
GPQA Diamond76.3%67.9%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%70.5%Claude Opus 4.1
GPQA Diamond (Artificial Analysis run)Not measured66.4%Only GPT-4.1 Mini measured
Humanity's Last Exam (Artificial Analysis run)Not measured5.0%Only GPT-4.1 Mini measured
GPQA Diamond (Epoch AI run)77.3%65.8%Claude Opus 4.1
ARC-AGINot measured3.5%Only GPT-4.1 Mini measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Mini measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured1.0%Only GPT-4.1 Mini measured
Mystery game puzzles21.0%7.0%Claude Opus 4.1
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421349Claude Opus 4.1
LMArena Text: expert14381338Claude Opus 4.1
LMArena Text: hard prompts in English14511362Claude Opus 4.1
LMArena Vision: diagramsNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: homeworkNot measured1214Only GPT-4.1 Mini measured
Kagi LLM BenchmarkNot measured48.6%Only GPT-4.1 Mini measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index70
Math benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
AIME78.2%49.4%Claude Opus 4.1
MATH 500 (Vals AI)95.4%88.0%Claude Opus 4.1
MGSM (Vals AI)94.4%87.8%Claude Opus 4.1
AA Math IndexNot measured46.3Only GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)Not measured46.3%Only GPT-4.1 Mini measured
OTIS Mock AIME68.9%44.7%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%6.7%Claude Opus 4.1
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured87.3%Only GPT-4.1 Mini measured
LMArena Text: math14311343Claude Opus 4.1
LMArena Text: mathematical work14341347Claude Opus 4.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
MMLU Pro87.9%77.2%Claude Opus 4.1
LegalBench (Vals AI)83.5%78.0%Claude Opus 4.1
CorpFin (Vals AI)Not measured57.9%Only GPT-4.1 Mini measured
TaxEval (Vals AI)73.7%71.9%Claude Opus 4.1
MortgageTax (Vals AI)61.1%65.5%GPT-4.1 Mini
MedQA (Vals AI)93.6%84.6%Claude Opus 4.1
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured78.1%Only GPT-4.1 Mini measured
SimpleQA VerifiedNot measured12.7%Only GPT-4.1 Mini measured
LMArena Text: science14221328Claude Opus 4.1
LMArena Text: medicine and healthcare14161324Claude Opus 4.1
LMArena Text: legal and government14211343Claude Opus 4.1
LMArena Text: business and finance14061322Claude 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 designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Opus 4.1 and GPT-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
Design Arena: websites1176997Claude Opus 4.1
Design Arena: UI components1162958Claude Opus 4.1
Design Arena: game dev11711070Claude Opus 4.1
Design Arena: data viz11661034Claude Opus 4.1
Design Arena: 3D1152836Claude Opus 4.1
Design Arena: all code categories1170993Claude Opus 4.1
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-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
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 measured38.3%Only GPT-4.1 Mini measured
Long context reasoning (AA-LCR)Not measured44.0%Only GPT-4.1 Mini measured
DTBench80.0%68.8%Claude Opus 4.1
LMCA37.1%21.1%Claude Opus 4.1
Fiction.LiveBenchNot measured44.4%Only GPT-4.1 Mini measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191341Claude Opus 4.1
LMArena Text: instruction following14351333Claude Opus 4.1
LMArena Text: creative writing14121299Claude Opus 4.1
LMArena VisionNot measured1181Only GPT-4.1 Mini measured
LMArena Text: English14331356Claude Opus 4.1
LMArena Text: non-English14051318Claude Opus 4.1
LMArena Text: Chinese14271329Claude Opus 4.1
LMArena Text: German14131350Claude Opus 4.1
LMArena Text: Japanese13771290Claude Opus 4.1
LMArena Text: Korean13811298Claude Opus 4.1
LMArena Text: French14331358Claude Opus 4.1
LMArena Text: Spanish14481319Claude Opus 4.1
LMArena Text: Russian14221324Claude Opus 4.1
LMArena Text: Polish14131326Claude Opus 4.1
LMArena Text: multi-turn14441354Claude Opus 4.1
LMArena Text: longer queries14551344Claude Opus 4.1
LMArena Text: writing and language14181319Claude Opus 4.1
LMArena Text: entertainment and media13981300Claude Opus 4.1
LMArena Vision: EnglishNot measured1191Only GPT-4.1 Mini measured
LMArena Vision: ChineseNot measured1186Only GPT-4.1 Mini measured
LMArena Vision: reading textNot measured1188Only GPT-4.1 Mini measured
LMArena Vision: humorNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: captioningNot measured1174Only GPT-4.1 Mini measured
LMArena Vision: recognizing thingsNot measured1187Only GPT-4.1 Mini measured
LMArena Vision: creative writingNot measured1182Only GPT-4.1 Mini measured
Neither model has a result on the other 13 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-4.1 Mini
BenchmarkClaude Opus 4.1GPT-4.1 MiniLeader
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-4.1 Mini$0.0012Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-4.1 Mini$0.025Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-4.1 Mini$0.096Fits in one request

GPT-4.1 Mini 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-4.1 Mini
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-4.1 Mini
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025April 14, 2025
Context window200K1.05M
Input $/Mtok$15.00$0.40
Output $/Mtok$75.00$1.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$1.818
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by MortgageTax (Vals AI), where it leads.

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

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Cost per solved task is known for GPT-4.1 Mini only.

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

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

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

54 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and GPT-4.1 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next