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GPT-4 vs Muse Wonder

Muse Wonder costs 3.0x less per output token than GPT-4 ($20.00 vs $60.00 per million). Updated October 21, 2026; 26 benchmarks have a result for both.

Replace GPT-4 Replace Muse Wonder
GPT-4OpenAI
Coding
No data
Overall
No data
Output $/M
$60.00
0
Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
26
vs boards won of 26 shared

GPT-4 or Muse Wonder: which to pick

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; GPT-4 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-4OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMuse WonderMeta71.9/1003 independent benchmarksNo cost per solved task
Shared results
26
GPT-4 only
19
Muse Wonder only
34
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-4 not benchmarked, Muse Wonder 71.9 from 3 benchmarks.
Widest category
Knowledge, 56.1 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: GPT-4 1145 against Muse Wonder 1512, 61.1 points apart on a 0 to 100 scale.
Output price
GPT-4 $60.00 against Muse Wonder $20.00 per million output tokens, 3.0x apart.
Context window
GPT-4 takes 8K 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-4BarsMuse WonderTies
Coding02
Intelligence01
Reasoning03
Math02
Knowledge04
General014
All shared boards026
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
SWE-bench Verified22.4%Not measuredOnly GPT-4 measured
SWE-bench Lite39.7%Not measuredOnly GPT-4 measured
SWE-bench (full test set)12.5%Not measuredOnly GPT-4 measured
LMArena WebDevNot measured1652Only Muse Wonder measured
AA Coding Index13.1Not measuredOnly GPT-4 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)Not measured83.1%Only Muse Wonder measured
Code migration (Vals AI)Not measured62.5%Only Muse Wonder measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder 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
SciCodeNot measured60.3%Only Muse Wonder measured
LMArena Text: coding12091522Muse Wonder
LMArena Text: software and IT11951515Muse Wonder
LMArena WebDev: ReactNot measured1641Only Muse Wonder measured
LMArena WebDev: HTMLNot measured1694Only Muse Wonder measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
AA Intelligence Index6.7Not measuredOnly GPT-4 measured
Epoch Capabilities Index125.7161.8Muse Wonder
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
Design Arena: spreadsheetsNot measured1227Only Muse Wonder measured
Finance Agent (Vals AI)Not measured56.6%Only Muse Wonder measured
Tax Agent Bench (Vals AI)Not measured36.3%Only Muse Wonder measured
Legal Research Bench (Vals AI)Not measured50.5%Only Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)Not measured67.1%Only Muse Wonder measured
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
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
GPQA Diamond (Artificial Analysis run)34.9%Not measuredOnly GPT-4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured50.1%Only Muse Wonder measured
BIG-Bench Hard75.1%Not measuredOnly GPT-4 measured
LMArena Text: hard prompts12001506Muse Wonder
LMArena Text: expert11491513Muse Wonder
LMArena Text: hard prompts in English12091506Muse Wonder
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
ProofBenchNot measured84.0%Only Muse Wonder measured
GSM8K92.0%Not measuredOnly GPT-4 measured
LMArena Text: math12301486Muse Wonder
LMArena Text: mathematical work12281514Muse Wonder
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
MMLU Pro (Artificial Analysis run)56.2%Not measuredOnly GPT-4 measured
MMLU86.4%Not measuredOnly GPT-4 measured
AI2 Reasoning Challenge96.3%Not measuredOnly GPT-4 measured
LMArena Text: science11771506Muse Wonder
LMArena Text: medicine and healthcare11451512Muse Wonder
LMArena Text: legal and government11911505Muse Wonder
LMArena Text: business and finance11451483Muse Wonder
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
Design Arena: websitesNot measured1362Only Muse Wonder measured
Design Arena: UI componentsNot measured1374Only Muse Wonder measured
Design Arena: game devNot measured1377Only Muse Wonder measured
Design Arena: data vizNot measured1321Only Muse Wonder measured
Design Arena: 3DNot measured1426Only 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 index014
General benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
IFBench33.2%Not measuredOnly GPT-4 measured
Long context reasoning (AA-LCR)Not measured80.7%Only Muse Wonder measured
DTBench62.7%95.2%Muse Wonder
LMCA17.1%56.8%Muse Wonder
HellaSwag95.3%Not measuredOnly GPT-4 measured
WinoGrande87.5%Not measuredOnly GPT-4 measured
LMArena Text12061502Muse Wonder
LMArena Text: instruction following12011491Muse Wonder
LMArena Text: creative writing11911491Muse Wonder
LMArena Text: English12201507Muse Wonder
LMArena Text: non-English11941492Muse Wonder
LMArena Text: Chinese11841537Muse Wonder
LMArena Text: German1198Not measuredOnly GPT-4 measured
LMArena Text: Japanese1137Not measuredOnly GPT-4 measured
LMArena Text: Korean1087Not measuredOnly GPT-4 measured
LMArena Text: French12201523Muse Wonder
LMArena Text: Spanish1197Not measuredOnly GPT-4 measured
LMArena Text: Russian11951522Muse Wonder
LMArena Text: Polish1265Not measuredOnly GPT-4 measured
LMArena Text: multi-turn12061510Muse Wonder
LMArena Text: longer queries11901493Muse Wonder
LMArena Text: writing and language12191496Muse Wonder
LMArena Text: entertainment and media11841482Muse Wonder
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 and Muse Wonder
BenchmarkGPT-4Muse 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-4$0.060Fits in one request
Muse Wonder$0.014Fits in one request

Muse Wonder costs less

Repository review

50K input + 3K output tokens

GPT-4$1.68Exceeds the context window
Muse Wonder$0.260Fits in one request

Muse Wonder costs less

Agent loop

200K input + 10K output tokens

GPT-4$6.60Exceeds the context window
Muse Wonder$1.00Fits in one request

Muse Wonder 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-4 and Muse Wonder
SpecificationOpenAI GPT-4Meta Muse Wonder
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMay 28, 2023October 12, 2026
Context window8K1.05M
Input $/Mtok$30.00$4.00
Output $/Mtok$60.00$20.00
Coding indexNot benchmarked71.9
Independent measurements behind it03
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 better than Muse Wonder for coding?

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; GPT-4 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4 or Muse Wonder?

GPT-4 costs $30.00 per million input tokens and $60.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4 or Muse Wonder?

Muse Wonder, with 1.05M tokens against 8K.

How many benchmarks is the GPT-4 vs Muse Wonder comparison based on?

26 benchmarks have a result for both models as of October 21, 2026. GPT-4's coding index rests on 0 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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