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GPT-4o-mini (2024-07-18) vs Muse Spark 1.3

GPT-4o-mini (2024-07-18) costs 7.1x less per output token than Muse Spark 1.3 ($0.60 vs $4.25 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace GPT-4o-mini (2024-07-18) Replace Muse Spark 1.3
GPT-4o-mini (2024-07-18)OpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
35
vs boards won of 35 shared

GPT-4o-mini (2024-07-18) or Muse Spark 1.3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; GPT-4o-mini (2024-07-18) has none, so the two cannot be ranked on coding.

Pick GPT-4o-mini (2024-07-18) for output tokens 7.1x cheaper ($0.60 vs $4.25 per million).

Model AGPT-4o-mini (2024-07-18)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
35
GPT-4o-mini (2024-07-18) only
11
Muse Spark 1.3 only
61
Like-for-like categories
5 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-4o-mini (2024-07-18) not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Math, 60.2 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o-mini (2024-07-18) 6.9% against Muse Spark 1.3 99.2%, 92.2 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini (2024-07-18) $0.60 against Muse Spark 1.3 $4.25 per million output tokens, 7.1x apart.
Context window
GPT-4o-mini (2024-07-18) takes 128K tokens, Muse Spark 1.3 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-4o-mini (2024-07-18)BarsMuse Spark 1.3Ties
Coding02
Reasoning05
Math04
Knowledge04
General020
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
Aider polyglot3.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML11.8%Not measuredOnly GPT-4o-mini (2024-07-18) measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding12901510Muse Spark 1.3
LMArena Text: software and IT12911511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 23 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
AA Intelligence IndexNot measured48.1Only Muse Spark 1.3 measured
Epoch Capabilities IndexNot measured157.2Only Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1075Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
BALROG17.4%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured48.7%Only Muse Spark 1.3 measured
GPQA Diamond (Epoch AI run)37.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
SimpleBench10.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Chess puzzles3.0%37.0%Muse Spark 1.3
Mystery game puzzles12.0%25.0%Muse Spark 1.3
VPCT34.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts12671503Muse Spark 1.3
LMArena Text: expert12341519Muse Spark 1.3
LMArena Text: hard prompts in English12781500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
OTIS Mock AIME6.9%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 30.7%74.4%Muse Spark 1.3
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
MATH level 552.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: math12671497Muse Spark 1.3
LMArena Text: mathematical work12711491Muse Spark 1.3
MathArenaNot measured43.0%Only Muse Spark 1.3 measured
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-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
SimpleQA Verified8.3%Not measuredOnly GPT-4o-mini (2024-07-18) measured
MMLU76.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
GeoBench64.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: science12861507Muse Spark 1.3
LMArena Text: medicine and healthcare12821493Muse Spark 1.3
LMArena Text: legal and government13051499Muse Spark 1.3
LMArena Text: business and finance12651490Muse Spark 1.3
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench LegalNot measured61.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
Design Arena: websitesNot measured1356Only Muse Spark 1.3 measured
Design Arena: UI componentsNot measured1350Only Muse Spark 1.3 measured
Design Arena: game devNot measured1328Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1344Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1358Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1352Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1283Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
Long context reasoning (AA-LCR)Not measured83.0%Only Muse Spark 1.3 measured
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
Creative writing (Lech Mazur)67.2%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text12861490Muse Spark 1.3
LMArena Text: instruction following12581479Muse Spark 1.3
LMArena Text: creative writing12681462Muse Spark 1.3
LMArena Vision10661308Muse Spark 1.3
LMArena Text: English13011495Muse Spark 1.3
LMArena Text: non-English12661481Muse Spark 1.3
LMArena Text: Chinese12651532Muse Spark 1.3
LMArena Text: German12721513Muse Spark 1.3
LMArena Text: Japanese12161470Muse Spark 1.3
LMArena Text: Korean11951490Muse Spark 1.3
LMArena Text: French12971511Muse Spark 1.3
LMArena Text: Spanish12761496Muse Spark 1.3
LMArena Text: Russian12751491Muse Spark 1.3
LMArena Text: Polish12441490Muse Spark 1.3
LMArena Text: multi-turn12851487Muse Spark 1.3
LMArena Text: longer queries12891488Muse Spark 1.3
LMArena Text: writing and language12821470Muse Spark 1.3
LMArena Text: entertainment and media12531457Muse Spark 1.3
LMArena Vision: English10721298Muse Spark 1.3
LMArena Vision: Chinese10331384Muse Spark 1.3
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o-mini (2024-07-18) and Muse Spark 1.3
BenchmarkGPT-4o-mini (2024-07-18)Muse Spark 1.3Leader
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 (2024-07-18)$0.0004Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GPT-4o-mini (2024-07-18) costs less

Repository review

50K input + 3K output tokens

GPT-4o-mini (2024-07-18)$0.0093Fits in one request
Muse Spark 1.3$0.075Fits in one request

GPT-4o-mini (2024-07-18) costs less

Agent loop

200K input + 10K output tokens

GPT-4o-mini (2024-07-18)$0.036Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

GPT-4o-mini (2024-07-18) 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 (2024-07-18) and Muse Spark 1.3
SpecificationOpenAI GPT-4o-mini (2024-07-18)Meta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedJuly 18, 2024September 2, 2026
Context window128K1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.60$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o-mini (2024-07-18) better than Muse Spark 1.3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; GPT-4o-mini (2024-07-18) has none, so the two cannot be ranked on coding. Pick GPT-4o-mini (2024-07-18) for output tokens 7.1x cheaper ($0.60 vs $4.25 per million).

Which is cheaper, GPT-4o-mini (2024-07-18) or Muse Spark 1.3?

GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o-mini (2024-07-18) or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4o-mini (2024-07-18) vs Muse Spark 1.3 comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. GPT-4o-mini (2024-07-18)'s coding index rests on 0 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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