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Claude Opus 4.1 vs GPT-4.1 Nano

Claude Opus 4.1 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 22.8 to 7.8, and GPT-4.1 Nano costs 187.5x less per output token ($0.40 vs $75.00 per million). Updated October 22, 2026; 48 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GPT-4.1 Nano
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
48
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
vs boards won of 48 shared

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

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

Compare them on price, context and the boards below.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
48
Claude Opus 4.1 only
25
GPT-4.1 Nano only
23
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 Nano not benchmarked.
Widest category
Math, 30.8 points apart on average over 6 shared benchmarks.
Widest single gap
AIME: Claude Opus 4.1 78.2% against GPT-4.1 Nano 26.5%, 51.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-4.1 Nano $0.40 per million output tokens, 187.5x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-4.1 Nano 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 NanoTies
Coding40
Intelligence20
Reasoning60
Math60
Knowledge90
Web design60
General150
All shared boards480
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 4.1 and GPT-4.1 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured11.1Only GPT-4.1 Nano measured
LiveCodeBench (Vals AI)66.5%42.7%Claude Opus 4.1
LiveCodeBench (Artificial Analysis run)Not measured32.6%Only GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%19.0%Claude Opus 4.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791306Claude Opus 4.1
LMArena Text: software and IT14561305Claude 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-4.1 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
AA Intelligence Index22.87.8Claude Opus 4.1
Epoch Capabilities Index144.1129.5Claude 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 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
τ²-Bench TelecomNot measured17.3%Only GPT-4.1 Nano 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 measured33.1%Only GPT-4.1 Nano measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.1 and GPT-4.1 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
GPQA Diamond76.3%50.8%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%55.0%Claude Opus 4.1
GPQA Diamond (Artificial Analysis run)Not measured51.2%Only GPT-4.1 Nano measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
GPQA Diamond (Epoch AI run)77.3%48.9%Claude Opus 4.1
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano 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
LMArena Text: hard prompts14421286Claude Opus 4.1
LMArena Text: expert14381271Claude Opus 4.1
LMArena Text: hard prompts in English14511293Claude Opus 4.1
Kagi LLM BenchmarkNot measured33.3%Only GPT-4.1 Nano measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.1 and GPT-4.1 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
AIME78.2%26.5%Claude Opus 4.1
MATH 500 (Vals AI)95.4%80.2%Claude Opus 4.1
MGSM (Vals AI)94.4%69.3%Claude Opus 4.1
AA Math IndexNot measured24.0Only GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)Not measured24.0%Only GPT-4.1 Nano measured
OTIS Mock AIME68.9%28.9%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math14311274Claude Opus 4.1
LMArena Text: mathematical work14341274Claude 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 index90
Knowledge benchmarks for Claude Opus 4.1 and GPT-4.1 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
MMLU Pro87.9%63.5%Claude Opus 4.1
LegalBench (Vals AI)83.5%61.1%Claude Opus 4.1
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)73.7%60.8%Claude Opus 4.1
MortgageTax (Vals AI)61.1%52.8%Claude Opus 4.1
MedQA (Vals AI)93.6%68.2%Claude Opus 4.1
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured65.7%Only GPT-4.1 Nano measured
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
LMArena Text: science14221297Claude Opus 4.1
LMArena Text: medicine and healthcare14161276Claude Opus 4.1
LMArena Text: legal and government14211300Claude Opus 4.1
LMArena Text: business and finance14061267Claude 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 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
Design Arena: websites1176972Claude Opus 4.1
Design Arena: UI components1162913Claude Opus 4.1
Design Arena: game dev1171970Claude Opus 4.1
Design Arena: data viz1166891Claude Opus 4.1
Design Arena: 3D1152924Claude Opus 4.1
Design Arena: all code categories1170962Claude 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 index150
General benchmarks for Claude Opus 4.1 and GPT-4.1 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
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 measured32.0%Only GPT-4.1 Nano measured
Long context reasoning (AA-LCR)Not measured20.3%Only GPT-4.1 Nano measured
DTBench80.0%52.5%Claude Opus 4.1
LMCA37.1%5.5%Claude Opus 4.1
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191285Claude Opus 4.1
LMArena Text: instruction following14351266Claude Opus 4.1
LMArena Text: creative writing14121260Claude Opus 4.1
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English14331303Claude Opus 4.1
LMArena Text: non-English14051260Claude Opus 4.1
LMArena Text: Chinese14271270Claude Opus 4.1
LMArena Text: German14131288Claude Opus 4.1
LMArena Text: Japanese13771198Claude Opus 4.1
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Spanish1448Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Russian14221261Claude Opus 4.1
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn14441277Claude Opus 4.1
LMArena Text: longer queries14551283Claude Opus 4.1
LMArena Text: writing and language14181261Claude Opus 4.1
LMArena Text: entertainment and media13981243Claude Opus 4.1
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 19 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 Nano
BenchmarkClaude Opus 4.1GPT-4.1 NanoLeader
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 Nano$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-4.1 Nano$0.024Fits in one request

GPT-4.1 Nano 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 Nano
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-4.1 Nano
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025April 14, 2025
Context window200K1.05M
Input $/Mtok$15.00$0.10
Output $/Mtok$75.00$0.40
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-4.1 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

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

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

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

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

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

48 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 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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