Enter opens the highlighted result. Esc closes.

GPT-4o (2024-05-13) vs GPT-4o (2024-08-06)

GPT-4o (2024-08-06) leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 7.7 to 7.3, and GPT-4o (2024-08-06) costs 1.5x less per output token ($10.00 vs $15.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GPT-4o (2024-05-13) Replace GPT-4o (2024-08-06)
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
31
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
7
vs boards won of 38 shared

GPT-4o (2024-05-13) 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-4o (2024-05-13) for work measured by AA Intelligence Index or Humanity's Last Exam (Artificial Analysis run), where it leads.

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GPT-4o (2024-05-13) only
6
GPT-4o (2024-08-06) only
20
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
GPT-4o (2024-05-13) not benchmarked, GPT-4o (2024-08-06) not benchmarked.
Widest category
General, 5.0 points apart on average over 19 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: GPT-4o (2024-05-13) 1132 against GPT-4o (2024-08-06) 1009, 20.5 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against GPT-4o (2024-08-06) $10.00 per million output tokens, 1.5x apart.
Context window
Both take 128K tokens.

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 (2024-05-13)BarsGPT-4o (2024-08-06)Ties
Coding30
Intelligence01
Reasoning42
Math13
Knowledge41
General190
All shared boards317
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Artificial Analysis run)33.4%31.7%GPT-4o (2024-05-13)
Terminal-Bench Hard (Artificial Analysis run)Not measured8.3%Only GPT-4o (2024-08-06) measured
LMArena Text: coding12971283GPT-4o (2024-05-13)
LMArena Text: software and IT12971278GPT-4o (2024-05-13)
Neither model has a result on the other 36 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
AA Intelligence Index7.37.7GPT-4o (2024-08-06)
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
τ²-Bench TelecomNot measured28.9%Only GPT-4o (2024-08-06) measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
GPQA Diamond50.2%Not measuredOnly GPT-4o (2024-05-13) measured
MMMU Pro (Vals AI)Not measured64.0%Only GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.6%52.1%GPT-4o (2024-05-13)
Humanity's Last Exam (Artificial Analysis run)1.8%2.3%GPT-4o (2024-08-06)
GPQA Diamond (Epoch AI run)48.9%49.2%GPT-4o (2024-08-06)
SimpleBenchNot measured17.8%Only GPT-4o (2024-08-06) measured
Chess puzzlesNot measured6.0%Only GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12811264GPT-4o (2024-05-13)
LMArena Text: expert12501241GPT-4o (2024-05-13)
LMArena Text: hard prompts in English12931277GPT-4o (2024-05-13)
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
AIMENot measured14.0%Only GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
OTIS Mock AIME6.3%6.4%GPT-4o (2024-08-06)
FrontierMath, tiers 1 to 3Not measured0.4%Only GPT-4o (2024-08-06) measured
MATH level 551.0%53.3%GPT-4o (2024-08-06)
LMArena Text: math12841285GPT-4o (2024-08-06)
LMArena Text: mathematical work12841283GPT-4o (2024-05-13)
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
MMLU ProNot measured74.1%Only GPT-4o (2024-08-06) measured
LegalBench (Vals AI)Not measured80.1%Only GPT-4o (2024-08-06) measured
CorpFin (Vals AI)Not measured39.4%Only GPT-4o (2024-08-06) measured
TaxEval (Vals AI)Not measured71.1%Only GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)Not measured61.0%Only GPT-4o (2024-08-06) measured
MedQA (Vals AI)Not measured88.2%Only GPT-4o (2024-08-06) measured
MMLU Pro (Artificial Analysis run)74.0%Not measuredOnly GPT-4o (2024-05-13) measured
SimpleQA VerifiedNot measured26.0%Only GPT-4o (2024-08-06) measured
MMLU84.2%84.3%GPT-4o (2024-08-06)
LMArena Text: science12951274GPT-4o (2024-05-13)
LMArena Text: medicine and healthcare12781252GPT-4o (2024-05-13)
LMArena Text: legal and government13141275GPT-4o (2024-05-13)
LMArena Text: business and finance12621232GPT-4o (2024-05-13)
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-4o (2024-08-06)Leader
IFBenchNot measured36.0%Only GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)Not measured41.0%Only GPT-4o (2024-08-06) measured
LMArena Text13001283GPT-4o (2024-05-13)
LMArena Text: instruction following12781267GPT-4o (2024-05-13)
LMArena Text: creative writing12911274GPT-4o (2024-05-13)
LMArena Vision11371065GPT-4o (2024-05-13)
LMArena Text: English13121297GPT-4o (2024-05-13)
LMArena Text: non-English12831262GPT-4o (2024-05-13)
LMArena Text: Chinese12771254GPT-4o (2024-05-13)
LMArena Text: German12831257GPT-4o (2024-05-13)
LMArena Text: Japanese12571234GPT-4o (2024-05-13)
LMArena Text: Korean12341218GPT-4o (2024-05-13)
LMArena Text: French13041263GPT-4o (2024-05-13)
LMArena Text: Spanish12921269GPT-4o (2024-05-13)
LMArena Text: Russian12851272GPT-4o (2024-05-13)
LMArena Text: Polish1365Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: multi-turn13021279GPT-4o (2024-05-13)
LMArena Text: longer queries12881283GPT-4o (2024-05-13)
LMArena Text: writing and language12981290GPT-4o (2024-05-13)
LMArena Text: entertainment and media12891267GPT-4o (2024-05-13)
LMArena Vision: English11471072GPT-4o (2024-05-13)
LMArena Vision: Chinese11321009GPT-4o (2024-05-13)
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-05-13) and GPT-4o (2024-08-06)
BenchmarkGPT-4o (2024-05-13)GPT-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-4o (2024-05-13)$0.013Fits in one request
GPT-4o (2024-08-06)$0.0075Fits in one request

GPT-4o (2024-08-06) costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

GPT-4o (2024-08-06) costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
GPT-4o (2024-08-06)$0.600Exceeds the context window

GPT-4o (2024-08-06) 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 (2024-05-13) and GPT-4o (2024-08-06)
SpecificationOpenAI GPT-4o (2024-05-13)OpenAI GPT-4o (2024-08-06)
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024August 6, 2024
Context window128K128K
Input $/Mtok$5.00$2.50
Output $/Mtok$15.00$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) 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-4o (2024-05-13) for work measured by AA Intelligence Index or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4o (2024-05-13) or GPT-4o (2024-08-06)?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or GPT-4o (2024-08-06)?

Neither: both take 128K tokens.

How many benchmarks is the GPT-4o (2024-05-13) vs GPT-4o (2024-08-06) comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-05-13)'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.

Compare next