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GPT-4.1 vs GPT-4o (2024-08-06)

GPT-4.1 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 12.7 to 7.7, and GPT-4.1 costs 1.3x less per output token ($8.00 vs $10.00 per million). Updated October 22, 2026; 56 benchmarks have a result for both.

GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
54
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
2
vs boards won of 56 shared

GPT-4.1 or GPT-4o (2024-08-06): which to pick

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

Pick GPT-4.1 for output tokens 1.3x cheaper ($8.00 vs $10.00 per million) and a larger context window (1.05M against 128K tokens).

Shared results
56
GPT-4.1 only
39
GPT-4o (2024-08-06) only
2
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
GPT-4.1 not benchmarked, GPT-4o (2024-08-06) not benchmarked.
Widest category
General, 18.9 points apart on average over 21 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: GPT-4.1 1226 against GPT-4o (2024-08-06) 1009, 36.2 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against GPT-4o (2024-08-06) $10.00 per million output tokens, 1.3x apart.
Context window
GPT-4.1 takes 1.05M tokens, GPT-4o (2024-08-06) 128K.

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
CategoryGPT-4.1BarsGPT-4o (2024-08-06)Ties
Coding50
Intelligence10
Agentic work10
Reasoning81
Math71
Knowledge110
General210
All shared boards542
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
Aider polyglot52.4%23.1%GPT-4.1
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)45.7%31.7%GPT-4.1
Terminal-Bench Hard (Artificial Analysis run)13.6%8.3%GPT-4.1
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901283GPT-4.1
LMArena Text: software and IT13911278GPT-4.1
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
AA Intelligence Index12.77.7GPT-4.1
Epoch Capabilities Index136.7Not measuredOnly GPT-4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
τ²-Bench Telecom47.1%28.9%GPT-4.1
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
Reasoning benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%64.0%GPT-4.1
GPQA Diamond (Artificial Analysis run)66.6%52.1%GPT-4.1
Humanity's Last Exam (Artificial Analysis run)4.2%2.3%GPT-4.1
GPQA Diamond (Epoch AI run)66.9%49.2%GPT-4.1
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%17.8%GPT-4.1
Chess puzzles3.0%6.0%GPT-4o (2024-08-06)
LMArena Text: hard prompts13841264GPT-4.1
LMArena Text: expert13641241GPT-4.1
LMArena Text: hard prompts in English13931277GPT-4.1
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index71
Math benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
AIME39.6%14.0%GPT-4.1
MATH 500 (Vals AI)87.2%75.2%GPT-4.1
MGSM (Vals AI)87.7%90.7%GPT-4o (2024-08-06)
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%6.4%GPT-4.1
FrontierMath, tiers 1 to 36.0%0.4%GPT-4.1
MATH level 583.0%53.3%GPT-4.1
LMArena Text: math13691285GPT-4.1
LMArena Text: mathematical work13601283GPT-4.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
MMLU Pro80.5%74.1%GPT-4.1
LegalBench (Vals AI)83.1%80.1%GPT-4.1
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%39.4%GPT-4.1
TaxEval (Vals AI)75.1%71.1%GPT-4.1
MortgageTax (Vals AI)65.9%61.0%GPT-4.1
MedQA (Vals AI)91.2%88.2%GPT-4.1
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%26.0%GPT-4.1
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821274GPT-4.1
LMArena Text: medicine and healthcare13791252GPT-4.1
LMArena Text: legal and government13991275GPT-4.1
LMArena Text: business and finance13691232GPT-4.1
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
PRBench Finance34.3%Not measuredOnly GPT-4.1 measured
PRBench Legal36.5%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
Design Arena: websites1038Not measuredOnly GPT-4.1 measured
Design Arena: UI components998Not measuredOnly GPT-4.1 measured
Design Arena: game dev1079Not measuredOnly GPT-4.1 measured
Design Arena: data viz1104Not measuredOnly GPT-4.1 measured
Design Arena: 3D849Not measuredOnly GPT-4.1 measured
Design Arena: all code categories1025Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
IFBench43.0%36.0%GPT-4.1
Long context reasoning (AA-LCR)68.3%41.0%GPT-4.1
DTBench68.3%Not measuredOnly GPT-4.1 measured
LMCA25.6%Not measuredOnly GPT-4.1 measured
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
LMArena Text13831283GPT-4.1
LMArena Text: instruction following13671267GPT-4.1
LMArena Text: creative writing13631274GPT-4.1
LMArena Vision12101065GPT-4.1
LMArena Text: English13921297GPT-4.1
LMArena Text: non-English13701262GPT-4.1
LMArena Text: Chinese13821254GPT-4.1
LMArena Text: German13811257GPT-4.1
LMArena Text: Japanese13191234GPT-4.1
LMArena Text: Korean13381218GPT-4.1
LMArena Text: French13821263GPT-4.1
LMArena Text: Spanish13761269GPT-4.1
LMArena Text: Russian13771272GPT-4.1
LMArena Text: Polish1389Not measuredOnly GPT-4.1 measured
LMArena Text: multi-turn13971279GPT-4.1
LMArena Text: longer queries13851283GPT-4.1
LMArena Text: writing and language13711290GPT-4.1
LMArena Text: entertainment and media13651267GPT-4.1
LMArena Vision: English12091072GPT-4.1
LMArena Vision: Chinese12261009GPT-4.1
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 measured
MultiChallenge39.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 and GPT-4o (2024-08-06)
BenchmarkGPT-4.1GPT-4o (2024-08-06)Leader
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

GPT-4.1$0.0060Fits in one request
GPT-4o (2024-08-06)$0.0075Fits in one request

GPT-4.1 costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

GPT-4.1 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
GPT-4o (2024-08-06)$0.600Exceeds the context window

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 GPT-4.1 and GPT-4o (2024-08-06)
SpecificationOpenAI GPT-4.1OpenAI GPT-4o (2024-08-06)
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025August 6, 2024
Context window1.05M128K
Input $/Mtok$2.00$2.50
Output $/Mtok$8.00$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than GPT-4o (2024-08-06) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for output tokens 1.3x cheaper ($8.00 vs $10.00 per million) and a larger context window (1.05M against 128K tokens).

Which is cheaper, GPT-4.1 or GPT-4o (2024-08-06)?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, GPT-4.1 or GPT-4o (2024-08-06)?

GPT-4.1, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4.1 vs GPT-4o (2024-08-06) comparison based on?

56 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and GPT-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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