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GPT-4o (2024-08-06) vs Muse Spark Open

Muse Spark Open costs 2.4x less per output token than GPT-4o (2024-08-06) ($4.25 vs $10.00 per million). Updated October 22, 2026; 3 benchmarks have a result for both.

GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
3
vs boards won of 3 shared

GPT-4o (2024-08-06) or Muse Spark Open: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
3
GPT-4o (2024-08-06) only
55
Muse Spark Open only
30
Like-for-like categories
2 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 (2024-08-06) not benchmarked, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Reasoning, 39.3 points apart on average over 2 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): GPT-4o (2024-08-06) 2.3% against Muse Spark Open 43.9%, 41.6 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Muse Spark Open $4.25 per million output tokens, 2.4x apart.
Context window
GPT-4o (2024-08-06) takes 128K tokens, Muse Spark Open 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 (2024-08-06)BarsMuse Spark OpenTies
Reasoning02
General01
All shared boards03
CodingDirectional onlySix of these boards feed the Vibe Coding Index16 boards, none shared
Coding benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)Not measured76.2%Only Muse Spark Open measured
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly GPT-4o (2024-08-06) measured
SciCodeNot measured58.4%Only Muse Spark Open measured
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena Text: coding1283Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: software and IT1278Not measuredOnly GPT-4o (2024-08-06) measured
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTMLNot measured1495Only Muse Spark Open measured
SWE-Bench Pro V2Not measured95.0%Only Muse Spark Open measured
Neither model has a result on the other 27 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
AA Intelligence Index7.7Not measuredOnly GPT-4o (2024-08-06) measured
Epoch Capabilities IndexNot measured155.1Only Muse Spark Open measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
LiveBench researchNot measured80.3%Only Muse Spark Open measured
LiveBench browserNot measured36.0%Only Muse Spark Open measured
LiveBench long agenticNot measured18.9%Only Muse Spark Open measured
Finance Agent (Vals AI)Not measured61.3%Only Muse Spark Open measured
Tax Agent Bench (Vals AI)Not measured26.3%Only Muse Spark Open measured
Legal Research Bench (Vals AI)Not measured38.5%Only Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured25.0%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
τ²-Bench Telecom28.9%Not measuredOnly GPT-4o (2024-08-06) measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)2.3%43.9%Muse Spark Open
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts1264Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: expert1241Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts in English1277Not measuredOnly GPT-4o (2024-08-06) measured
Humanity's Last Exam (Scale run)Not measured28.0%Only Muse Spark Open measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math1285Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: mathematical work1283Not measuredOnly GPT-4o (2024-08-06) measured
MathArenaNot measured33.6%Only Muse Spark Open measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science1274Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: medicine and healthcare1252Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: legal and government1275Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: business and finance1232Not measuredOnly GPT-4o (2024-08-06) measured
PRBench LegalNot measured59.8%Only Muse Spark Open measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
Design Arena: websitesNot measured1317Only Muse Spark Open measured
Design Arena: game devNot measured1286Only Muse Spark Open measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 6 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
IFBench36.0%Not measuredOnly GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)41.0%78.3%Muse Spark Open
LMArena Text1283Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: instruction following1267Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: creative writing1274Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English1297Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: non-English1262Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Chinese1254Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: German1257Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Japanese1234Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Korean1218Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: French1263Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Spanish1269Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Russian1272Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: multi-turn1279Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: longer queries1283Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: writing and language1290Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: entertainment and media1267Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
MultiChallengeNot measured74.2%Only Muse Spark Open measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and Muse Spark Open
BenchmarkGPT-4o (2024-08-06)Muse Spark OpenLeader
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 (2024-08-06)$0.0075Fits in one request
Muse Spark Open$0.0034Fits in one request

Muse Spark Open costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Muse Spark Open$0.075Fits in one request

Muse Spark Open costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Muse Spark Open$0.292Fits in one request

Muse Spark Open 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 (2024-08-06) and Muse Spark Open
SpecificationOpenAI GPT-4o (2024-08-06)Meta Muse Spark Open
MakerOpenAIMeta
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024October 15, 2026
Context window128K1.05M
Input $/Mtok$2.50$1.25
Output $/Mtok$10.00$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Muse Spark Open for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4o (2024-08-06) or Muse Spark Open?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or Muse Spark Open?

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

How many benchmarks is the GPT-4o (2024-08-06) vs Muse Spark Open comparison based on?

3 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and Muse Spark Open's on 4. Where only one model has a result, the page says so instead of naming a winner.

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