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GPT-4o (2024-05-13) vs GPT-5.4 Pro

GPT-4o (2024-05-13) costs 12.0x less per output token than GPT-5.4 Pro ($15.00 vs $180.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.

GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
GPT-5.4 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$180.00
1
vs boards won of 1 shared

GPT-4o (2024-05-13) or GPT-5.4 Pro: 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 output tokens 12.0x cheaper ($15.00 vs $180.00 per million) and work measured by GPQA Diamond (Epoch AI run), where it leads.

Shared results
1
GPT-4o (2024-05-13) only
43
GPT-5.4 Pro only
11
Like-for-like categories
1 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-5.4 Pro not benchmarked.
Widest category
Reasoning, 45.7 points apart on average over 1 shared benchmark.
Widest single gap
GPQA Diamond (Epoch AI run): GPT-4o (2024-05-13) 48.9% against GPT-5.4 Pro 94.6%, 45.7 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against GPT-5.4 Pro $180.00 per million output tokens, 12.0x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, GPT-5.4 Pro 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
CategoryGPT-4o (2024-05-13)BarsGPT-5.4 ProTies
Reasoning01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards, none shared
Coding benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Artificial Analysis run)33.4%Not measuredOnly GPT-4o (2024-05-13) measured
WeirdMLNot measured57.4%Only GPT-5.4 Pro measured
LMArena Text: coding1297Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: software and IT1297Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 38 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
AA Intelligence Index7.3Not measuredOnly GPT-4o (2024-05-13) measured
Epoch Capabilities IndexNot measured159.6Only GPT-5.4 Pro measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
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 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
GPQA Diamond50.2%Not measuredOnly GPT-4o (2024-05-13) measured
GPQA Diamond (Artificial Analysis run)52.6%Not measuredOnly GPT-4o (2024-05-13) measured
Humanity's Last Exam (Artificial Analysis run)1.8%Not measuredOnly GPT-4o (2024-05-13) measured
GPQA Diamond (Epoch AI run)48.9%94.6%GPT-5.4 Pro
ARC-AGINot measured94.5%Only GPT-5.4 Pro measured
ARC-AGI-2Not measured83.3%Only GPT-5.4 Pro measured
SimpleBenchNot measured74.1%Only GPT-5.4 Pro measured
Chess puzzlesNot measured59.0%Only GPT-5.4 Pro measured
LMArena Text: hard prompts1281Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: expert1250Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: hard prompts in English1293Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
OTIS Mock AIME6.3%Not measuredOnly GPT-4o (2024-05-13) measured
FrontierMath, tiers 1 to 3Not measured82.5%Only GPT-5.4 Pro measured
FrontierMath, tier 4Not measured58.5%Only GPT-5.4 Pro measured
MATH level 551.0%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: math1284Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: mathematical work1284Not measuredOnly GPT-4o (2024-05-13) measured
MathArenaNot measured52.5%Only GPT-5.4 Pro measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
MMLU Pro (Artificial Analysis run)74.0%Not measuredOnly GPT-4o (2024-05-13) measured
SimpleQA VerifiedNot measured46.3%Only GPT-5.4 Pro measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science1295Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: medicine and healthcare1278Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: legal and government1314Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: business and finance1262Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 13 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-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
General benchmarks for GPT-4o (2024-05-13) and GPT-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
LMArena Text1300Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: instruction following1278Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: creative writing1291Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision1137Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: English1312Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: non-English1283Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Chinese1277Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: German1283Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Japanese1257Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Korean1234Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: French1304Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Spanish1292Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Russian1285Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Polish1365Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: multi-turn1302Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: longer queries1288Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: writing and language1298Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: entertainment and media1289Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: English1147Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: Chinese1132Not measuredOnly GPT-4o (2024-05-13) measured
MultiChallengeNot measured69.2%Only GPT-5.4 Pro measured
Neither model has a result on the other 27 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-5.4 Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.4 ProLeader
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-5.4 Pro$0.120Fits in one request

GPT-4o (2024-05-13) costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
GPT-5.4 Pro$2.04Fits in one request

GPT-4o (2024-05-13) costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
GPT-5.4 Pro$7.80Fits in one request

GPT-4o (2024-05-13) 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-5.4 Pro
SpecificationOpenAI GPT-4o (2024-05-13)OpenAI GPT-5.4 Pro
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024March 5, 2026
Context window128K1.05M
Input $/Mtok$5.00$30.00
Output $/Mtok$15.00$180.00
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-5.4 Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-05-13) for output tokens 12.0x cheaper ($15.00 vs $180.00 per million) and work measured by GPQA Diamond (Epoch AI run), where it leads.

Which is cheaper, GPT-4o (2024-05-13) or GPT-5.4 Pro?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; GPT-5.4 Pro costs $30.00 and $180.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or GPT-5.4 Pro?

GPT-5.4 Pro, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs GPT-5.4 Pro comparison based on?

1 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-5.4 Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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