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GPT-4o (2024-08-06) vs GPT-5.1

Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4o (2024-08-06) Replace GPT-5.1
GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
0
GPT-5.1OpenAI
Coding
53.3
Overall
24.7
Output $/M
$10.00
52
vs boards won of 52 shared

Decision reading

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).

GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGPT-4o (2024-08-06)OpenAI23.1/1001 independent benchmarkNo cost per solved taskModel BGPT-5.1OpenAI53.3/1002 independent benchmarks$1.02 per solved task
Shared results
52
GPT-4o (2024-08-06) only
6
GPT-5.1 only
48
Like-for-like categories
7 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
GPT-4o (2024-08-06) 23.1 from 1 benchmark, GPT-5.1 53.3 from 2 benchmarks.
Widest category
Agentic work, 52.9 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-08-06) 6.4% against GPT-5.1 88.6%, 82.2 points apart on a 0 to 100 scale.
Output price
Both cost $10.00 per million output tokens.
Context window
GPT-4o (2024-08-06) takes 128K tokens, GPT-5.1 400K.

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-4o (2024-08-06)BarsGPT-5.1Ties
Coding04
Intelligence01
Agentic work01
Reasoning09
Math05
Knowledge011
General021
All shared boards052
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench VerifiedNot measured66.0%Only GPT-5.1 measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena WebDevNot measured1396Only GPT-5.1 measured
AA Coding IndexNot measured49.4Only GPT-5.1 measured
LiveCodeBench (Vals AI)Not measured86.5%Only GPT-5.1 measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.1 measured
Vibe Code Bench (Vals AI)Not measured24.6%Only GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)31.7%86.8%GPT-5.1
Terminal-Bench Hard (Artificial Analysis run)8.3%45.5%GPT-5.1
Terminal-BenchNot measured47.6%Only GPT-5.1 measured
GSO-BenchNot measured13.7%Only GPT-5.1 measured
WeirdMLNot measured60.8%Only GPT-5.1 measured
LMArena Text: coding12831453GPT-5.1
LMArena Text: software and IT12781454GPT-5.1
LMArena WebDev: ReactNot measured1307Only GPT-5.1 measured
LMArena WebDev: HTMLNot measured1405Only GPT-5.1 measured
LMArena WebDev: from an imageNot measured1421Only GPT-5.1 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
AA Intelligence Index7.724.7GPT-5.1
Epoch Capabilities IndexNot measured149.8Only GPT-5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
τ²-Bench Telecom28.9%81.9%GPT-5.1
DeepResearch BenchNot measured42.8%Only GPT-5.1 measured
Vending-Bench 2Not measured$1,473Only GPT-5.1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
GPQA DiamondNot measured86.6%Only GPT-5.1 measured
MMMU Pro (Vals AI)64.0%83.2%GPT-5.1
GPQA Diamond (Artificial Analysis run)52.1%87.3%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)2.3%28.5%GPT-5.1
GPQA Diamond (Epoch AI run)49.2%87.6%GPT-5.1
ARC-AGINot measured72.8%Only GPT-5.1 measured
ARC-AGI-2Not measured17.6%Only GPT-5.1 measured
SimpleBench17.8%53.2%GPT-5.1
Chess puzzles6.0%42.0%GPT-5.1
Mystery game puzzlesNot measured19.0%Only GPT-5.1 measured
VPCTNot measured58.7%Only GPT-5.1 measured
LMArena Text: hard prompts12641457GPT-5.1
LMArena Text: expert12411470GPT-5.1
LMArena Text: hard prompts in English12771462GPT-5.1
LMArena Vision: diagramsNot measured1264Only GPT-5.1 measured
LMArena Vision: homeworkNot measured1272Only GPT-5.1 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
AIME14.0%93.3%GPT-5.1
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%93.0%GPT-5.1
AA Math IndexNot measured94.0Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)Not measured94.0%Only GPT-5.1 measured
OTIS Mock AIME6.4%88.6%GPT-5.1
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851446GPT-5.1
LMArena Text: mathematical work12831449GPT-5.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
Knowledge benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
MMLU Pro74.1%86.4%GPT-5.1
LegalBench (Vals AI)80.1%85.7%GPT-5.1
CaseLaw (Vals AI)Not measured73.4%Only GPT-5.1 measured
CorpFin (Vals AI)39.4%63.8%GPT-5.1
TaxEval (Vals AI)71.1%74.9%GPT-5.1
MortgageTax (Vals AI)61.0%61.4%GPT-5.1
MedQA (Vals AI)88.2%96.4%GPT-5.1
MedCode (Vals AI)Not measured52.7%Only GPT-5.1 measured
MMLU Pro (Artificial Analysis run)Not measured87.0%Only GPT-5.1 measured
SimpleQA Verified26.0%48.0%GPT-5.1
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741459GPT-5.1
LMArena Text: medicine and healthcare12521456GPT-5.1
LMArena Text: legal and government12751459GPT-5.1
LMArena Text: business and finance12321431GPT-5.1
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
Design Arena: websitesNot measured1187Only GPT-5.1 measured
Design Arena: UI componentsNot measured1166Only GPT-5.1 measured
Design Arena: game devNot measured1179Only GPT-5.1 measured
Design Arena: data vizNot measured1204Only GPT-5.1 measured
Design Arena: 3DNot measured1061Only GPT-5.1 measured
Design Arena: all code categoriesNot measured1171Only GPT-5.1 measured
Design Arena: SVGNot measured1149Only GPT-5.1 measured
Design Arena: ASCII artNot measured1118Only GPT-5.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
SAGE (Vals AI)Not measured43.2%Only GPT-5.1 measured
MedScribe (Vals AI)Not measured88.1%Only GPT-5.1 measured
IFBench36.0%72.9%GPT-5.1
Long context reasoning (AA-LCR)41.0%80.0%GPT-5.1
DTBenchNot measured90.1%Only GPT-5.1 measured
LMCANot measured43.9%Only GPT-5.1 measured
CL-benchNot measured23.7%Only GPT-5.1 measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text12831443GPT-5.1
LMArena Text: instruction following12671443GPT-5.1
LMArena Text: creative writing12741427GPT-5.1
LMArena Vision10651250GPT-5.1
LMArena Text: English12971451GPT-5.1
LMArena Text: non-English12621431GPT-5.1
LMArena Text: Chinese12541495GPT-5.1
LMArena Text: German12571438GPT-5.1
LMArena Text: Japanese12341453GPT-5.1
LMArena Text: Korean12181401GPT-5.1
LMArena Text: French12631450GPT-5.1
LMArena Text: Spanish12691433GPT-5.1
LMArena Text: Russian12721435GPT-5.1
LMArena Text: PolishNot measured1440Only GPT-5.1 measured
LMArena Text: multi-turn12791450GPT-5.1
LMArena Text: longer queries12831448GPT-5.1
LMArena Text: writing and language12901428GPT-5.1
LMArena Text: entertainment and media12671415GPT-5.1
LMArena Vision: English10721252GPT-5.1
LMArena Vision: Chinese10091270GPT-5.1
LMArena Vision: reading textNot measured1255Only GPT-5.1 measured
LMArena Vision: humorNot measured1263Only GPT-5.1 measured
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.1 measured
LMArena Vision: creative writingNot measured1266Only GPT-5.1 measured
LMArena DocumentNot measured1403Only GPT-5.1 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and GPT-5.1
BenchmarkGPT-4o (2024-08-06)GPT-5.1Leader
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

GPT-4o (2024-08-06)$0.0075Fits in one request
GPT-5.1$0.0063Fits in one request

GPT-5.1 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
GPT-5.1$0.092Fits in one request

GPT-5.1 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
GPT-5.1$0.350Fits in one request

GPT-5.1 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-4o (2024-08-06) and GPT-5.1
SpecificationOpenAI GPT-4o (2024-08-06)OpenAI GPT-5.1
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024November 13, 2025
Context window128K400K
Input $/Mtok$2.50$1.25
Output $/Mtok$10.00$10.00
Coding index23.153.3
Independent measurements behind it12
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than GPT-5.1 for coding?

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06). GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GPT-4o (2024-08-06) or GPT-5.1?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, GPT-4o (2024-08-06) or GPT-5.1?

GPT-5.1, with 400K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs GPT-5.1 comparison based on?

52 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark and GPT-5.1's on 2. Where only one model has a result, the page says so instead of naming a winner.

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