Enter opens the highlighted result. Esc closes.

GPT-4o (2024-05-13) vs GPT-5 Nano

GPT-5 Nano leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 13.0 to 7.3, and GPT-5 Nano costs 37.5x less per output token ($0.40 vs $15.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace GPT-4o (2024-05-13) Replace GPT-5 Nano
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
6
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
33
vs boards won of 39 shared

GPT-4o (2024-05-13) or GPT-5 Nano: 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 LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved task
Shared results
39
GPT-4o (2024-05-13) only
5
GPT-5 Nano only
49
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-5 Nano not benchmarked.
Widest category
Math, 32.9 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-05-13) 6.3% against GPT-5 Nano 81.1%, 74.9 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against GPT-5 Nano $0.40 per million output tokens, 37.5x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, GPT-5 Nano 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 (2024-05-13)BarsGPT-5 NanoTies
Coding03
Intelligence01
Reasoning07
Math04
Knowledge14
General514
All shared boards633
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
SWE-bench VerifiedNot measured34.8%Only GPT-5 Nano measured
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Vals AI)Not measured70.2%Only GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)33.4%78.9%GPT-5 Nano
Terminal-Bench Hard (Artificial Analysis run)Not measured17.4%Only GPT-5 Nano measured
Terminal-BenchNot measured21.8%Only GPT-5 Nano measured
WeirdMLNot measured38.1%Only GPT-5 Nano measured
LMArena Text: coding12971351GPT-5 Nano
LMArena Text: software and IT12971345GPT-5 Nano
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
AA Intelligence Index7.313.0GPT-5 Nano
Epoch Capabilities IndexNot measured139.2Only GPT-5 Nano measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
τ²-Bench TelecomNot measured36.5%Only GPT-5 Nano measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Berkeley Function Calling Leaderboard (BFCL)Not measured51.4%Only GPT-5 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
GPQA Diamond50.2%63.4%GPT-5 Nano
MMMU Pro (Vals AI)Not measured70.9%Only GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)52.6%67.6%GPT-5 Nano
Humanity's Last Exam (Artificial Analysis run)1.8%9.5%GPT-5 Nano
GPQA Diamond (Epoch AI run)48.9%69.4%GPT-5 Nano
ARC-AGINot measured20.7%Only GPT-5 Nano measured
ARC-AGI-2Not measured2.6%Only GPT-5 Nano measured
Chess puzzlesNot measured22.0%Only GPT-5 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5 Nano measured
VPCTNot measured37.2%Only GPT-5 Nano measured
LMArena Text: hard prompts12811328GPT-5 Nano
LMArena Text: expert12501321GPT-5 Nano
LMArena Text: hard prompts in English12931338GPT-5 Nano
LMArena Vision: diagramsNot measured1141Only GPT-5 Nano measured
LMArena Vision: homeworkNot measured1157Only GPT-5 Nano measured
Kagi LLM BenchmarkNot measured62.2%Only GPT-5 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
AIMENot measured81.2%Only GPT-5 Nano measured
MATH 500 (Vals AI)Not measured93.8%Only GPT-5 Nano measured
MGSM (Vals AI)Not measured89.3%Only GPT-5 Nano measured
AA Math IndexNot measured83.7Only GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)Not measured83.7%Only GPT-5 Nano measured
OTIS Mock AIME6.3%81.1%GPT-5 Nano
FrontierMath, tiers 1 to 3Not measured20.0%Only GPT-5 Nano measured
FrontierMath, tier 4Not measured2.4%Only GPT-5 Nano measured
ProofBenchNot measured12.0%Only GPT-5 Nano measured
MATH level 551.0%95.2%GPT-5 Nano
LMArena Text: math12841317GPT-5 Nano
LMArena Text: mathematical work12841326GPT-5 Nano
MathArenaNot measured12.8%Only GPT-5 Nano measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
MMLU ProNot measured76.1%Only GPT-5 Nano measured
LegalBench (Vals AI)Not measured50.1%Only GPT-5 Nano measured
CaseLaw (Vals AI)Not measured52.6%Only GPT-5 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5 Nano measured
MortgageTax (Vals AI)Not measured53.6%Only GPT-5 Nano measured
MedQA (Vals AI)Not measured93.3%Only GPT-5 Nano measured
MedCode (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)74.0%78.0%GPT-5 Nano
SimpleQA VerifiedNot measured11.7%Only GPT-5 Nano measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science12951318GPT-5 Nano
LMArena Text: medicine and healthcare12781335GPT-5 Nano
LMArena Text: legal and government13141298GPT-4o (2024-05-13)
LMArena Text: business and finance12621311GPT-5 Nano
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
Design Arena: websitesNot measured1101Only GPT-5 Nano measured
Design Arena: UI componentsNot measured1064Only GPT-5 Nano measured
Design Arena: game devNot measured1044Only GPT-5 Nano measured
Design Arena: data vizNot measured1056Only GPT-5 Nano measured
Design Arena: 3DNot measured965Only GPT-5 Nano measured
Design Arena: all code categoriesNot measured1084Only GPT-5 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index514
General benchmarks for GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 NanoLeader
SAGE (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MedScribe (Vals AI)Not measured72.9%Only GPT-5 Nano measured
IFBenchNot measured67.6%Only GPT-5 Nano measured
Long context reasoning (AA-LCR)Not measured45.0%Only GPT-5 Nano measured
DTBenchNot measured62.7%Only GPT-5 Nano measured
LMCANot measured7.9%Only GPT-5 Nano measured
Fiction.LiveBenchNot measured44.4%Only GPT-5 Nano measured
LMArena Text13001320GPT-5 Nano
LMArena Text: instruction following12781306GPT-5 Nano
LMArena Text: creative writing12911249GPT-4o (2024-05-13)
LMArena Vision11371159GPT-5 Nano
LMArena Text: English13121321GPT-5 Nano
LMArena Text: non-English12831313GPT-5 Nano
LMArena Text: Chinese12771356GPT-5 Nano
LMArena Text: German12831327GPT-5 Nano
LMArena Text: Japanese12571227GPT-4o (2024-05-13)
LMArena Text: Korean12341269GPT-5 Nano
LMArena Text: French1304Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Spanish12921360GPT-5 Nano
LMArena Text: Russian12851296GPT-5 Nano
LMArena Text: Polish13651314GPT-4o (2024-05-13)
LMArena Text: multi-turn13021311GPT-5 Nano
LMArena Text: longer queries12881312GPT-5 Nano
LMArena Text: writing and language12981283GPT-4o (2024-05-13)
LMArena Text: entertainment and media12891268GPT-4o (2024-05-13)
LMArena Vision: English11471170GPT-5 Nano
LMArena Vision: Chinese11321176GPT-5 Nano
LMArena Vision: reading textNot measured1152Only GPT-5 Nano measured
LMArena Vision: humorNot measured1110Only GPT-5 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 GPT-4o (2024-05-13) and GPT-5 Nano
BenchmarkGPT-4o (2024-05-13)GPT-5 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

GPT-4o (2024-05-13)$0.013Fits in one request
GPT-5 Nano$0.0003Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
GPT-5 Nano$0.0037Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
GPT-5 Nano$0.014Fits in one request

GPT-5 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 GPT-4o (2024-05-13) and GPT-5 Nano
SpecificationOpenAI GPT-4o (2024-05-13)OpenAI GPT-5 Nano
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024August 7, 2025
Context window128K400K
Input $/Mtok$5.00$0.05
Output $/Mtok$15.00$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$0.109
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than GPT-5 Nano 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 LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4o (2024-05-13) or GPT-5 Nano?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, GPT-4o (2024-05-13) or GPT-5 Nano?

GPT-5 Nano, with 400K tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs GPT-5 Nano comparison based on?

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

Compare next