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GPT-5.4 Mini vs Muse Wonder

Muse Wonder leads GPT-5.4 Mini on coding, 71.9 to 35.8 on the Vibe Coding Index, and GPT-5.4 Mini costs 4.4x less per output token ($4.50 vs $20.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
0
Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
40
vs boards won of 40 shared

GPT-5.4 Mini or Muse Wonder: which to pick

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 3 benchmarks against 5.

Pick GPT-5.4 Mini for output tokens 4.4x cheaper ($4.50 vs $20.00 per million).

Shared results
40
GPT-5.4 Mini only
49
Muse Wonder only
20
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, Muse Wonder 71.9 from 3 benchmarks.
Widest category
Coding, 31.6 points apart on average over 9 shared benchmarks.
Widest single gap
ProofBench: GPT-5.4 Mini 21.0% against Muse Wonder 84.0%, 63.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Muse Wonder $20.00 per million output tokens, 4.4x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Muse Wonder 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-5.4 MiniBarsMuse WonderTies
Coding09
Intelligence01
Agentic work04
Reasoning04
Math03
Knowledge04
General015
All shared boards040
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
Coding benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
LMArena WebDev13971652Muse Wonder
AA Coding Index56.1Not measuredOnly GPT-5.4 Mini measured
LiveCodeBench (Vals AI)81.5%Not measuredOnly GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)73.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 4 (Vals AI)2.5%49.5%Muse Wonder
Vibe Code Bench (Vals AI)48.0%83.1%Muse Wonder
Code migration (Vals AI)12.9%62.5%Muse Wonder
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly GPT-5.4 Mini measured
SWE-bench Multimodal (Vals AI)Not measured45.6%Only Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)Not measured26.6%Only Muse Wonder measured
CyberBench (Vals AI)Not measured80.4%Only Muse Wonder measured
SciCode52.1%60.3%Muse Wonder
Terminal-Bench Hard (Artificial Analysis run)52.3%Not measuredOnly GPT-5.4 Mini measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6Not measuredOnly GPT-5.4 Mini measured
LMArena Text: coding14381522Muse Wonder
LMArena Text: software and IT14361515Muse Wonder
LMArena WebDev: React13861641Muse Wonder
LMArena WebDev: HTML14191694Muse Wonder
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
AA Intelligence Index24.1Not measuredOnly GPT-5.4 Mini measured
Epoch Capabilities Index148.7161.8Muse Wonder
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
AA Agentic Index17.9Not measuredOnly GPT-5.4 Mini measured
Design Arena: spreadsheetsNot measured1243Only Muse Wonder measured
Finance Agent (Vals AI)45.4%56.6%Muse Wonder
Tax Agent Bench (Vals AI)8.8%36.3%Muse Wonder
Legal Research Bench (Vals AI)12.5%50.5%Muse Wonder
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)45.4%67.1%Muse Wonder
BioMysteryBench (Vals AI)Not measured67.0%Only Muse Wonder measured
Terminal-Bench-Science (Vals AI)Not measured22.9%Only Muse Wonder measured
Vals Science IndexNot measured39.1%Only Muse Wonder measured
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
τ²-Bench Telecom83.3%Not measuredOnly GPT-5.4 Mini measured
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
GPQA Diamond83.1%Not measuredOnly GPT-5.4 Mini measured
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
MMMU Pro (Vals AI)79.3%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)87.5%Not measuredOnly GPT-5.4 Mini measured
Humanity's Last Exam (Artificial Analysis run)28.1%50.1%Muse Wonder
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241506Muse Wonder
LMArena Text: expert14351513Muse Wonder
LMArena Text: hard prompts in English14201506Muse Wonder
LMArena Vision: diagrams1266Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: homework1285Not measuredOnly GPT-5.4 Mini measured
Kagi LLM Benchmark37.9%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
AIME95.6%Not measuredOnly GPT-5.4 Mini measured
OTIS Mock AIME88.9%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tiers 1 to 351.2%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%84.0%Muse Wonder
LMArena Text: math14181486Muse Wonder
LMArena Text: mathematical work14291514Muse Wonder
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
MMLU Pro84.5%Not measuredOnly GPT-5.4 Mini measured
CaseLaw (Vals AI)51.7%Not measuredOnly GPT-5.4 Mini measured
CorpFin (Vals AI)60.9%Not measuredOnly GPT-5.4 Mini measured
TaxEval (Vals AI)71.2%Not measuredOnly GPT-5.4 Mini measured
MortgageTax (Vals AI)63.5%Not measuredOnly GPT-5.4 Mini measured
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science14171506Muse Wonder
LMArena Text: medicine and healthcare13951512Muse Wonder
LMArena Text: legal and government14141505Muse Wonder
LMArena Text: business and finance14181483Muse Wonder
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
Design Arena: websitesNot measured1362Only Muse Wonder measured
Design Arena: UI componentsNot measured1379Only Muse Wonder measured
Design Arena: game devNot measured1376Only Muse Wonder measured
Design Arena: data vizNot measured1317Only Muse Wonder measured
Design Arena: 3DNot measured1427Only Muse Wonder measured
Design Arena: all code categoriesNot measured1371Only Muse Wonder measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
General benchmarks for GPT-5.4 Mini and Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
SAGE (Vals AI)50.8%Not measuredOnly GPT-5.4 Mini measured
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%Not measuredOnly GPT-5.4 Mini measured
Long context reasoning (AA-LCR)77.0%80.7%Muse Wonder
DTBench80.0%95.2%Muse Wonder
LMCA40.8%56.8%Muse Wonder
LMArena Text14121502Muse Wonder
LMArena Text: instruction following14051491Muse Wonder
LMArena Text: creative writing13701491Muse Wonder
LMArena Vision1245Not measuredOnly GPT-5.4 Mini measured
LMArena Text: English14121507Muse Wonder
LMArena Text: non-English14051492Muse Wonder
LMArena Text: Chinese14461537Muse Wonder
LMArena Text: German1408Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Japanese1375Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Korean1370Not measuredOnly GPT-5.4 Mini measured
LMArena Text: French14411523Muse Wonder
LMArena Text: Spanish1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Russian14171522Muse Wonder
LMArena Text: Polish1415Not measuredOnly GPT-5.4 Mini measured
LMArena Text: multi-turn14291510Muse Wonder
LMArena Text: longer queries14081493Muse Wonder
LMArena Text: writing and language13931496Muse Wonder
LMArena Text: entertainment and media13731482Muse Wonder
LMArena Vision: English1244Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: Chinese1286Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: reading text1253Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: humor1235Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing1222Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 14 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 Muse Wonder
BenchmarkGPT-5.4 MiniMuse WonderLeader
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
Muse Wonder$0.014Fits in one request

GPT-5.4 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Muse Wonder$0.260Fits in one request

GPT-5.4 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Muse Wonder$1.00Fits in one request

GPT-5.4 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 Muse Wonder
SpecificationOpenAI GPT-5.4 MiniMeta Muse Wonder
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026October 12, 2026
Context window400K1.05M
Input $/Mtok$0.75$4.00
Output $/Mtok$4.50$20.00
Coding index35.871.9
Independent measurements behind it53
Cost per solved task$0.70Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Muse Wonder for coding?

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 3 benchmarks against 5. Pick GPT-5.4 Mini for output tokens 4.4x cheaper ($4.50 vs $20.00 per million).

Which is cheaper, GPT-5.4 Mini or Muse Wonder?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for GPT-5.4 Mini only.

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

Muse Wonder, with 1.05M tokens against 400K.

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

40 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 Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-4-mini-vs-meta-muse-wonder">LLMBenchmark.ai, GPT-5.4 Mini vs Muse Wonder</a></p>