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GPT-5.4 Mini vs GPT-5 Mini

GPT-5.4 Mini leads GPT-5 Mini on coding, 35.8 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 2.3x less per output token ($2.00 vs $4.50 per million). Updated October 22, 2026; 72 benchmarks have a result for both.

GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
62
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
10
vs boards won of 72 shared

GPT-5.4 Mini or GPT-5 Mini: which to pick

GPT-5.4 Mini and GPT-5 Mini are level for coding, 35.8 against 34.2 on the Vibe Coding Index, so price and context decide.

Pick GPT-5 Mini for output tokens 2.3x cheaper ($2.00 vs $4.50 per million) and a lower cost per solved task ($0.08 against $0.70). Pick GPT-5.4 Mini for work measured by SWE-bench Verified (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Shared results
72
GPT-5.4 Mini only
17
GPT-5 Mini only
29
Like-for-like categories
7 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-5.4 Mini 35.8 from 5 benchmarks, GPT-5 Mini 34.2 from 2 benchmarks.
Widest category
Coding, 12.9 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 Mini 48.0% against GPT-5 Mini 14.2%, 33.8 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against GPT-5 Mini $2.00 per million output tokens, 2.3x apart.
Context window
Both take 400K 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-5.4 MiniBarsGPT-5 MiniTies
Coding71
Intelligence20
Agentic work10
Reasoning132
Math61
Knowledge73
General263
All shared boards6210
CodingLike-for-likeSix of these boards feed the Vibe Coding Index71
Coding benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
LMArena WebDev1397Not measuredOnly GPT-5.4 Mini measured
AA Coding Index56.1Not measuredOnly GPT-5.4 Mini measured
LiveCodeBench (Vals AI)81.5%86.6%GPT-5 Mini
SWE-bench Verified (Vals AI)73.0%60.8%GPT-5.4 Mini
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%14.2%GPT-5.4 Mini
Code migration (Vals AI)12.9%Not measuredOnly GPT-5.4 Mini measured
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly GPT-5.4 Mini measured
LiveCodeBench (Artificial Analysis run)Not measured83.8%Only GPT-5 Mini measured
SciCode52.1%39.0%GPT-5.4 Mini
Terminal-Bench Hard (Artificial Analysis run)52.3%33.3%GPT-5.4 Mini
Terminal-BenchNot measured34.8%Only GPT-5 Mini measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%52.7%GPT-5.4 Mini
ALE-Bench1188.6Not measuredOnly GPT-5.4 Mini measured
LMArena Text: coding14381406GPT-5.4 Mini
LMArena Text: software and IT14361394GPT-5.4 Mini
LMArena WebDev: React1386Not measuredOnly GPT-5.4 Mini measured
LMArena WebDev: HTML1419Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
AA Intelligence Index24.120.6GPT-5.4 Mini
Epoch Capabilities Index148.7145.3GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
AA Agentic Index17.9Not measuredOnly GPT-5.4 Mini measured
Finance Agent (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)8.8%Not measuredOnly GPT-5.4 Mini measured
Legal Research Bench (Vals AI)12.5%Not measuredOnly GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
τ²-Bench Telecom83.3%71.1%GPT-5.4 Mini
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Vending-Bench 2Not measured-$31Only GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)Not measured55.5%Only GPT-5 Mini measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index132
Reasoning benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
GPQA Diamond83.1%80.3%GPT-5.4 Mini
MMMU Pro (Vals AI)79.3%78.9%GPT-5.4 Mini
GPQA Diamond (Artificial Analysis run)87.5%82.8%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)28.1%21.5%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)86.9%75.0%GPT-5.4 Mini
ARC-AGI63.7%54.3%GPT-5.4 Mini
ARC-AGI-218.9%4.4%GPT-5.4 Mini
Chess puzzles23.0%24.0%GPT-5 Mini
Mystery game puzzles11.0%10.0%GPT-5.4 Mini
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts14241380GPT-5.4 Mini
LMArena Text: expert14351379GPT-5.4 Mini
LMArena Text: hard prompts in English14201383GPT-5.4 Mini
LMArena Vision: diagrams12661202GPT-5.4 Mini
LMArena Vision: homework12851210GPT-5.4 Mini
Kagi LLM Benchmark37.9%70.3%GPT-5 Mini
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index61
Math benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
AIME95.6%91.5%GPT-5.4 Mini
MATH 500 (Vals AI)Not measured94.8%Only GPT-5 Mini measured
MGSM (Vals AI)Not measured92.6%Only GPT-5 Mini measured
AA Math IndexNot measured90.7Only GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only GPT-5 Mini measured
OTIS Mock AIME88.9%86.7%GPT-5.4 Mini
FrontierMath, tiers 1 to 351.2%46.7%GPT-5.4 Mini
FrontierMath, tier 49.8%12.2%GPT-5 Mini
ProofBench21.0%9.0%GPT-5.4 Mini
MATH level 5Not measured97.8%Only GPT-5 Mini measured
LMArena Text: math14181378GPT-5.4 Mini
LMArena Text: mathematical work14291380GPT-5.4 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
Knowledge benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
MMLU Pro84.5%82.2%GPT-5.4 Mini
LegalBench (Vals AI)Not measured81.8%Only GPT-5 Mini measured
CaseLaw (Vals AI)51.7%68.5%GPT-5 Mini
CorpFin (Vals AI)60.9%60.2%GPT-5.4 Mini
TaxEval (Vals AI)71.2%75.2%GPT-5 Mini
MortgageTax (Vals AI)63.5%66.9%GPT-5 Mini
MedQA (Vals AI)Not measured96.1%Only GPT-5 Mini measured
MedCode (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)Not measured83.7%Only GPT-5 Mini measured
SimpleQA Verified29.4%21.6%GPT-5.4 Mini
LMArena Text: science14171371GPT-5.4 Mini
LMArena Text: medicine and healthcare13951380GPT-5.4 Mini
LMArena Text: legal and government14141375GPT-5.4 Mini
LMArena Text: business and finance14181358GPT-5.4 Mini
FACTS Benchmark SuiteNot measured38.6%Only GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
Design Arena: websitesNot measured1125Only GPT-5 Mini measured
Design Arena: UI componentsNot measured1103Only GPT-5 Mini measured
Design Arena: game devNot measured1129Only GPT-5 Mini measured
Design Arena: data vizNot measured1131Only GPT-5 Mini measured
Design Arena: 3DNot measured1036Only GPT-5 Mini measured
Design Arena: all code categoriesNot measured1114Only GPT-5 Mini measured
Design Arena: SVGNot measured1091Only GPT-5 Mini measured
Design Arena: ASCII artNot measured1125Only GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index263
General benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
SAGE (Vals AI)50.8%43.0%GPT-5.4 Mini
MedScribe (Vals AI)Not measured80.6%Only GPT-5 Mini measured
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%75.4%GPT-5 Mini
Long context reasoning (AA-LCR)77.0%72.3%GPT-5.4 Mini
DTBench80.0%80.5%GPT-5 Mini
LMCA40.8%34.2%GPT-5.4 Mini
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
LMArena Text14121373GPT-5.4 Mini
LMArena Text: instruction following14051357GPT-5.4 Mini
LMArena Text: creative writing13701325GPT-5.4 Mini
LMArena Vision12451202GPT-5.4 Mini
LMArena Text: English14121379GPT-5.4 Mini
LMArena Text: non-English14051363GPT-5.4 Mini
LMArena Text: Chinese14461386GPT-5.4 Mini
LMArena Text: German14081366GPT-5.4 Mini
LMArena Text: Japanese13751341GPT-5.4 Mini
LMArena Text: Korean13701308GPT-5.4 Mini
LMArena Text: French14411386GPT-5.4 Mini
LMArena Text: Spanish14051354GPT-5.4 Mini
LMArena Text: Russian14171362GPT-5.4 Mini
LMArena Text: Polish14151378GPT-5.4 Mini
LMArena Text: multi-turn14291363GPT-5.4 Mini
LMArena Text: longer queries14081355GPT-5.4 Mini
LMArena Text: writing and language13931344GPT-5.4 Mini
LMArena Text: entertainment and media13731340GPT-5.4 Mini
LMArena Vision: English12441216GPT-5.4 Mini
LMArena Vision: Chinese12861214GPT-5.4 Mini
LMArena Vision: reading text12531199GPT-5.4 Mini
LMArena Vision: humor12351205GPT-5.4 Mini
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing things12181226GPT-5 Mini
LMArena Vision: creative writing12221181GPT-5.4 Mini
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Mini and GPT-5 Mini
BenchmarkGPT-5.4 MiniGPT-5 MiniLeader
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-5.4 Mini$0.0030Fits in one request
GPT-5 Mini$0.0013Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
GPT-5 Mini$0.018Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
GPT-5 Mini$0.070Fits in one request

GPT-5 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-5.4 Mini and GPT-5 Mini
SpecificationOpenAI GPT-5.4 MiniOpenAI GPT-5 Mini
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026August 7, 2025
Context window400K400K
Input $/Mtok$0.75$0.25
Output $/Mtok$4.50$2.00
Coding index35.834.2
Independent measurements behind it52
Cost per solved task$0.70$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than GPT-5 Mini for coding?

GPT-5.4 Mini and GPT-5 Mini are level for coding, 35.8 against 34.2 on the Vibe Coding Index, so price and context decide. Pick GPT-5 Mini for output tokens 2.3x cheaper ($2.00 vs $4.50 per million) and a lower cost per solved task ($0.08 against $0.70). Pick GPT-5.4 Mini for work measured by SWE-bench Verified (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Mini or GPT-5 Mini?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and GPT-5 Mini $0.08.

Which has the bigger context window, GPT-5.4 Mini or GPT-5 Mini?

Neither: both take 400K tokens.

How many benchmarks is the GPT-5.4 Mini vs GPT-5 Mini comparison based on?

72 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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