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GPT-4o-mini vs GPT-5.3-Codex

Updated October 21, 2026. 6 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4o-mini Replace GPT-5.3-Codex
GPT-4o-miniOpenAI
Coding
No data
Overall
6.7
Output $/M
$0.60
0
GPT-5.3-CodexOpenAI
Coding
60.0
Overall
32.5
Output $/M
$14.00
6
vs boards won of 6 shared

Decision reading

Only GPT-5.3-Codex has a coding score, 60.0 on the Vibe Coding Index; GPT-4o-mini has none, so the two cannot be ranked on coding.

GPT-4o-mini has the edge where output tokens cost 23.3x less.

Model AGPT-4o-miniOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.3-CodexOpenAI60.0/1003 independent benchmarks$0.59 per solved task
Shared results
6
GPT-4o-mini only
21
GPT-5.3-Codex only
28
Like-for-like categories
4 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-mini not benchmarked, GPT-5.3-Codex 60.0 from 3 benchmarks.
Widest category
Coding, 60.9 points apart on average over 1 shared benchmark.
Widest single gap
LiveCodeBench (Vals AI): GPT-4o-mini 26.4% against GPT-5.3-Codex 87.3%, 60.9 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini $0.60 against GPT-5.3-Codex $14.00 per million output tokens, 23.3x apart.
Context window
GPT-4o-mini takes 128K tokens, GPT-5.3-Codex 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-miniBarsGPT-5.3-CodexTies
Coding01
Intelligence02
Reasoning02
General01
All shared boards06
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
LMArena WebDevNot measured1407Only GPT-5.3-Codex measured
AA Coding Index11.4Not measuredOnly GPT-4o-mini measured
LiveCodeBench (Vals AI)26.4%87.3%GPT-5.3-Codex
SWE-bench Verified (Vals AI)Not measured78.0%Only GPT-5.3-Codex measured
Vibe Code Bench (Vals AI)Not measured61.8%Only GPT-5.3-Codex measured
IOI (Vals AI)Not measured53.8%Only GPT-5.3-Codex measured
LiveCodeBench (Artificial Analysis run)23.4%Not measuredOnly GPT-4o-mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured53.0%Only GPT-5.3-Codex measured
Terminal-BenchNot measured78.4%Only GPT-5.3-Codex measured
WeirdMLNot measured79.3%Only GPT-5.3-Codex measured
ALE-BenchNot measured1655.2Only GPT-5.3-Codex measured
LMArena WebDev: ReactNot measured1395Only GPT-5.3-Codex measured
LMArena WebDev: HTMLNot measured1422Only GPT-5.3-Codex measured
LMArena WebDev: from an imageNot measured1443Only GPT-5.3-Codex measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
AA Intelligence Index6.732.5GPT-5.3-Codex
Epoch Capabilities Index126.5157.1GPT-5.3-Codex
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
Design Arena: agents building web appsNot measured1032Only GPT-5.3-Codex measured
Design Arena: agents building full-stack appsNot measured983Only GPT-5.3-Codex measured
Design Arena: agents building mobile appsNot measured1053Only GPT-5.3-Codex measured
Design Arena: agents building Android appsNot measured1084Only GPT-5.3-Codex measured
Design Arena: agents building Godot gamesNot measured1124Only GPT-5.3-Codex measured
τ²-Bench TelecomNot measured86.0%Only GPT-5.3-Codex measured
METR time horizonsNot measured74.5%Only GPT-5.3-Codex measured
Vending-Bench 2Not measured$5,940Only GPT-5.3-Codex measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
GPQA Diamond44.2%Not measuredOnly GPT-4o-mini measured
MMMU Pro (Vals AI)56.6%Not measuredOnly GPT-4o-mini measured
GPQA Diamond (Artificial Analysis run)42.6%91.5%GPT-5.3-Codex
Humanity's Last Exam (Artificial Analysis run)4.2%42.5%GPT-5.3-Codex
ARC-AGI-20.0%Not measuredOnly GPT-4o-mini measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
AIME11.5%Not measuredOnly GPT-4o-mini measured
MATH 500 (Vals AI)72.6%Not measuredOnly GPT-4o-mini measured
MGSM (Vals AI)86.2%Not measuredOnly GPT-4o-mini measured
AA Math Index14.7Not measuredOnly GPT-4o-mini measured
AIME 2025 (Artificial Analysis run)14.7%Not measuredOnly GPT-4o-mini measured
GSM8K91.3%Not measuredOnly GPT-4o-mini 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-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
MMLU Pro62.7%Not measuredOnly GPT-4o-mini measured
CorpFin (Vals AI)45.5%Not measuredOnly GPT-4o-mini measured
TaxEval (Vals AI)60.5%Not measuredOnly GPT-4o-mini measured
MortgageTax (Vals AI)54.5%Not measuredOnly GPT-4o-mini measured
MedQA (Vals AI)72.4%Not measuredOnly GPT-4o-mini measured
MMLU Pro (Artificial Analysis run)64.8%Not measuredOnly GPT-4o-mini measured
MMLU81.8%Not measuredOnly GPT-4o-mini measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
Design Arena: websitesNot measured1163Only GPT-5.3-Codex measured
Design Arena: UI componentsNot measured1137Only GPT-5.3-Codex measured
Design Arena: game devNot measured1161Only GPT-5.3-Codex measured
Design Arena: data vizNot measured1163Only GPT-5.3-Codex measured
Design Arena: 3DNot measured1008Only GPT-5.3-Codex measured
Design Arena: all code categoriesNot measured1145Only GPT-5.3-Codex measured
Design Arena: SVGNot measured1129Only GPT-5.3-Codex measured
Design Arena: ASCII artNot measured1151Only GPT-5.3-Codex measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
IFBench31.0%75.4%GPT-5.3-Codex
Long context reasoning (AA-LCR)Not measured83.3%Only GPT-5.3-Codex measured
DTBench54.4%Not measuredOnly GPT-4o-mini measured
LMCA10.4%Not measuredOnly GPT-4o-mini measured
PIQA88.7%Not measuredOnly GPT-4o-mini measured
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o-mini and GPT-5.3-Codex
BenchmarkGPT-4o-miniGPT-5.3-CodexLeader
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-mini$0.0004Fits in one request
GPT-5.3-Codex$0.0088Fits in one request

GPT-4o-mini costs less

Repository review

50K input + 3K output tokens

GPT-4o-mini$0.0093Fits in one request
GPT-5.3-Codex$0.130Fits in one request

GPT-4o-mini costs less

Agent loop

200K input + 10K output tokens

GPT-4o-mini$0.036Exceeds the context window
GPT-5.3-Codex$0.490Fits in one request

GPT-4o-mini 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-mini and GPT-5.3-Codex
SpecificationOpenAI GPT-4o-miniOpenAI GPT-5.3-Codex
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 18, 2024February 24, 2026
Context window128K400K
Input $/Mtok$0.15$1.75
Output $/Mtok$0.60$14.00
Coding indexNot benchmarked60.0
Independent measurements behind it03
Cost per solved taskNot computable$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o-mini better than GPT-5.3-Codex for coding?

Only GPT-5.3-Codex has a coding score, 60.0 on the Vibe Coding Index; GPT-4o-mini has none, so the two cannot be ranked on coding. GPT-4o-mini has the edge where output tokens cost 23.3x less.

Which is cheaper, GPT-4o-mini or GPT-5.3-Codex?

GPT-4o-mini costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.3-Codex costs $1.75 and $14.00. Cost per solved task is known for GPT-5.3-Codex only.

Which has the bigger context window, GPT-4o-mini or GPT-5.3-Codex?

GPT-5.3-Codex, with 400K tokens against 128K.

How many benchmarks is the GPT-4o-mini vs GPT-5.3-Codex comparison based on?

6 benchmarks have a result for both models as of October 21, 2026. GPT-4o-mini's coding index rests on 0 independent benchmarks and GPT-5.3-Codex's on 3. Where only one model has a result, the page says so instead of naming a winner.

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