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GPT-4o (2024-08-06) vs GPT-5 Nano

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 Nano
GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
8
GPT-5 NanoOpenAI
Coding
34.8
Overall
13.0
Output $/M
$0.40
44
vs boards won of 52 shared

Decision reading

Pick GPT-5 Nano for coding: it scores 34.8 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).

Pick GPT-4o (2024-08-06) when what matters is MGSM (Vals AI) or LegalBench (Vals AI), where it leads.

Model AGPT-4o (2024-08-06)OpenAI23.1/1001 independent benchmarkNo cost per solved taskModel BGPT-5 NanoOpenAI34.8/1001 independent benchmark$0.109 per solved task
Shared results
52
GPT-4o (2024-08-06) only
6
GPT-5 Nano only
33
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 Nano 34.8 from 1 benchmark.
Widest category
Math, 29.5 points apart on average over 8 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-08-06) 6.4% against GPT-5 Nano 81.1%, 74.7 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against GPT-5 Nano $0.40 per million output tokens, 25.0x apart.
Context window
GPT-4o (2024-08-06) 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 (2024-08-06)BarsGPT-5 NanoTies
Coding04
Intelligence01
Agentic work01
Reasoning08
Math17
Knowledge46
General317
All shared boards844
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4o (2024-08-06) and GPT-5 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench VerifiedNot measured34.8%Only GPT-5 Nano measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveCodeBench (Vals AI)Not measured70.2%Only GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)31.7%78.9%GPT-5 Nano
Terminal-Bench Hard (Artificial Analysis run)8.3%17.4%GPT-5 Nano
Terminal-BenchNot measured21.8%Only GPT-5 Nano measured
WeirdMLNot measured38.1%Only GPT-5 Nano measured
LMArena Text: coding12831351GPT-5 Nano
LMArena Text: software and IT12781345GPT-5 Nano
Neither model has a result on the other 28 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 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
AA Intelligence Index7.713.0GPT-5 Nano
Epoch Capabilities IndexNot measured139.2Only GPT-5 Nano 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 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
τ²-Bench Telecom28.9%36.5%GPT-5 Nano
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-4o (2024-08-06) and GPT-5 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
GPQA DiamondNot measured63.4%Only GPT-5 Nano measured
MMMU Pro (Vals AI)64.0%70.9%GPT-5 Nano
GPQA Diamond (Artificial Analysis run)52.1%67.6%GPT-5 Nano
Humanity's Last Exam (Artificial Analysis run)2.3%9.5%GPT-5 Nano
GPQA Diamond (Epoch AI run)49.2%69.4%GPT-5 Nano
ARC-AGINot measured20.7%Only GPT-5 Nano measured
ARC-AGI-2Not measured2.6%Only GPT-5 Nano measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%22.0%GPT-5 Nano
Mystery game puzzlesNot measured9.0%Only GPT-5 Nano measured
VPCTNot measured37.2%Only GPT-5 Nano measured
LMArena Text: hard prompts12641328GPT-5 Nano
LMArena Text: expert12411321GPT-5 Nano
LMArena Text: hard prompts in English12771338GPT-5 Nano
LMArena Vision: diagramsNot measured1141Only GPT-5 Nano measured
LMArena Vision: homeworkNot measured1157Only GPT-5 Nano measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index17
Math benchmarks for GPT-4o (2024-08-06) and GPT-5 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
AIME14.0%81.2%GPT-5 Nano
MATH 500 (Vals AI)75.2%93.8%GPT-5 Nano
MGSM (Vals AI)90.7%89.3%GPT-4o (2024-08-06)
AA Math IndexNot measured83.7Only GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)Not measured83.7%Only GPT-5 Nano measured
OTIS Mock AIME6.4%81.1%GPT-5 Nano
FrontierMath, tiers 1 to 30.4%20.0%GPT-5 Nano
FrontierMath, tier 4Not measured2.4%Only GPT-5 Nano measured
ProofBenchNot measured12.0%Only GPT-5 Nano measured
MATH level 553.3%95.2%GPT-5 Nano
LMArena Text: math12851317GPT-5 Nano
LMArena Text: mathematical work12831326GPT-5 Nano
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
Knowledge benchmarks for GPT-4o (2024-08-06) and GPT-5 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
MMLU Pro74.1%76.1%GPT-5 Nano
LegalBench (Vals AI)80.1%50.1%GPT-4o (2024-08-06)
CaseLaw (Vals AI)Not measured52.6%Only GPT-5 Nano measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%67.4%GPT-4o (2024-08-06)
MortgageTax (Vals AI)61.0%53.6%GPT-4o (2024-08-06)
MedQA (Vals AI)88.2%93.3%GPT-5 Nano
MedCode (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)Not measured78.0%Only GPT-5 Nano measured
SimpleQA Verified26.0%11.7%GPT-4o (2024-08-06)
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741318GPT-5 Nano
LMArena Text: medicine and healthcare12521335GPT-5 Nano
LMArena Text: legal and government12751298GPT-5 Nano
LMArena Text: business and finance12321311GPT-5 Nano
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-4o (2024-08-06) and GPT-5 Nano
BenchmarkGPT-4o (2024-08-06)GPT-5 NanoLeader
Design Arena: websitesNot measured1101Only GPT-5 Nano measured
Design Arena: UI componentsNot measured1066Only GPT-5 Nano measured
Design Arena: game devNot measured1045Only GPT-5 Nano measured
Design Arena: data vizNot measured1056Only GPT-5 Nano measured
Design Arena: 3DNot measured966Only 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 index317
General benchmarks for GPT-4o (2024-08-06) and GPT-5 Nano
BenchmarkGPT-4o (2024-08-06)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
IFBench36.0%67.6%GPT-5 Nano
Long context reasoning (AA-LCR)41.0%45.0%GPT-5 Nano
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 Text12831320GPT-5 Nano
LMArena Text: instruction following12671306GPT-5 Nano
LMArena Text: creative writing12741249GPT-4o (2024-08-06)
LMArena Vision10651159GPT-5 Nano
LMArena Text: English12971321GPT-5 Nano
LMArena Text: non-English12621313GPT-5 Nano
LMArena Text: Chinese12541356GPT-5 Nano
LMArena Text: German12571327GPT-5 Nano
LMArena Text: Japanese12341227GPT-4o (2024-08-06)
LMArena Text: Korean12181269GPT-5 Nano
LMArena Text: French1263Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Spanish12691360GPT-5 Nano
LMArena Text: Russian12721296GPT-5 Nano
LMArena Text: PolishNot measured1314Only GPT-5 Nano measured
LMArena Text: multi-turn12791311GPT-5 Nano
LMArena Text: longer queries12831312GPT-5 Nano
LMArena Text: writing and language12901283GPT-4o (2024-08-06)
LMArena Text: entertainment and media12671268GPT-5 Nano
LMArena Vision: English10721170GPT-5 Nano
LMArena Vision: Chinese10091176GPT-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 17 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 Nano
BenchmarkGPT-4o (2024-08-06)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 (2024-08-06)$0.0075Fits 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 (2024-08-06)$0.155Fits 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 (2024-08-06)$0.600Exceeds 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 (2024-08-06) and GPT-5 Nano
SpecificationOpenAI GPT-4o (2024-08-06)OpenAI GPT-5 Nano
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024August 7, 2025
Context window128K400K
Input $/Mtok$2.50$0.05
Output $/Mtok$10.00$0.40
Coding index23.134.8
Independent measurements behind it11
Cost per solved taskNot computable$0.109
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than GPT-5 Nano for coding?

Pick GPT-5 Nano for coding: it scores 34.8 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06). Pick GPT-4o (2024-08-06) when what matters is MGSM (Vals AI) or LegalBench (Vals AI), where it leads.

Which is cheaper, GPT-4o (2024-08-06) or GPT-5 Nano?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 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 (2024-08-06) or GPT-5 Nano?

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

How many benchmarks is the GPT-4o (2024-08-06) vs GPT-5 Nano 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 Nano's on 1. Where only one model has a result, the page says so instead of naming a winner.

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