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Muse Spark 1.1 vs Qwen2.5 VL 72B Instruct

Qwen2.5 VL 72B Instruct costs 4.3x less per output token than Muse Spark 1.1 ($1.00 vs $4.25 per million). Updated October 23, 2026; 3 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
3
Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
0
vs boards won of 3 shared

Muse Spark 1.1 or Qwen2.5 VL 72B Instruct: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen2.5 VL 72B Instruct has none, so the two cannot be ranked on coding.

Pick Qwen2.5 VL 72B Instruct for output tokens 4.3x cheaper ($1.00 vs $4.25 per million).

Shared results
3
Muse Spark 1.1 only
101
Qwen2.5 VL 72B Instruct only
3
Like-for-like categories
1 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
Muse Spark 1.1 70.3 from 3 benchmarks, Qwen2.5 VL 72B Instruct not benchmarked.
Widest category
General, 33.5 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: Muse Spark 1.1 1348 against Qwen2.5 VL 72B Instruct 1107, 40.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 4.3x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Qwen2.5 VL 72B Instruct 128K.

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
CategoryMuse Spark 1.1BarsQwen2.5 VL 72B InstructTies
General30
All shared boards30
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
LMArena WebDev1543Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)72.2%Not measuredOnly Muse Spark 1.1 measured
Code migration (Vals AI)31.1%Not measuredOnly Muse Spark 1.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: coding1498Not measuredOnly Muse Spark 1.1 measured
LMArena Text: software and IT1498Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1539Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Codebase QnA42.2%Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Test Writing41.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
AA Intelligence Index33.7Not measuredOnly Muse Spark 1.1 measured
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
AA Agentic Index25.8Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1173Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1108Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1122Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1013Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%Not measuredOnly Muse Spark 1.1 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)56.4%Not measuredOnly Muse Spark 1.1 measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
OSWorldNot measured5.0%Only Qwen2.5 VL 72B Instruct measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
MCP Atlas88.1%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Reasoning benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
GPQA Diamond91.2%Not measuredOnly Muse Spark 1.1 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%Not measuredOnly Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)46.2%Not measuredOnly Muse Spark 1.1 measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts1485Not measuredOnly Muse Spark 1.1 measured
LMArena Text: expert1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts in English1480Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Kagi LLM BenchmarkNot measured36.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: mathematical work1485Not measuredOnly Muse Spark 1.1 measured
MathArena42.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
MMLU Pro88.7%Not measuredOnly Muse Spark 1.1 measured
LegalBench (Vals AI)85.0%Not measuredOnly Muse Spark 1.1 measured
CorpFin (Vals AI)71.3%Not measuredOnly Muse Spark 1.1 measured
TaxEval (Vals AI)79.7%Not measuredOnly Muse Spark 1.1 measured
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
GeoBenchNot measured62.0%Only Qwen2.5 VL 72B Instruct measured
LMArena Text: science1483Not measuredOnly Muse Spark 1.1 measured
LMArena Text: medicine and healthcare1480Not measuredOnly Muse Spark 1.1 measured
LMArena Text: legal and government1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: business and finance1470Not measuredOnly Muse Spark 1.1 measured
PRBench Finance55.0%Not measuredOnly Muse Spark 1.1 measured
PRBench Legal57.0%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
Design Arena: websites1270Not measuredOnly Muse Spark 1.1 measured
Design Arena: UI components1286Not measuredOnly Muse Spark 1.1 measured
Design Arena: game dev1269Not measuredOnly Muse Spark 1.1 measured
Design Arena: data viz1267Not measuredOnly Muse Spark 1.1 measured
Design Arena: 3D1259Not measuredOnly Muse Spark 1.1 measured
Design Arena: all code categories1276Not measuredOnly Muse Spark 1.1 measured
Design Arena: SVG1233Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1267Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
Long context reasoning (AA-LCR)77.7%Not measuredOnly Muse Spark 1.1 measured
DTBench94.4%Not measuredOnly Muse Spark 1.1 measured
LMCA49.9%Not measuredOnly Muse Spark 1.1 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: instruction following1456Not measuredOnly Muse Spark 1.1 measured
LMArena Text: creative writing1435Not measuredOnly Muse Spark 1.1 measured
LMArena Vision12931107Muse Spark 1.1
LMArena Text: English1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: non-English1471Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Chinese1515Not measuredOnly Muse Spark 1.1 measured
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1457Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French1494Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish1462Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Polish1497Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: longer queries1461Not measuredOnly Muse Spark 1.1 measured
LMArena Text: writing and language1447Not measuredOnly Muse Spark 1.1 measured
LMArena Text: entertainment and media1437Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: English12921115Muse Spark 1.1
LMArena Vision: Chinese13481107Muse Spark 1.1
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
MultiChallenge75.3%Not measuredOnly Muse Spark 1.1 measured
EQ-Bench 41260Not measuredOnly Muse Spark 1.1 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 Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
BenchmarkMuse Spark 1.1Qwen2.5 VL 72B InstructLeader
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

Muse Spark 1.1$0.0034Fits in one request
Qwen2.5 VL 72B Instruct$0.0013Fits in one request

Qwen2.5 VL 72B Instruct costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Qwen2.5 VL 72B Instruct$0.043Fits in one request

Qwen2.5 VL 72B Instruct costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

Qwen2.5 VL 72B Instruct 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 Muse Spark 1.1 and Qwen2.5 VL 72B Instruct
SpecificationMeta Muse Spark 1.1Qwen2.5 VL 72B Instruct
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026February 1, 2025
Context window1.05M128K
Input $/Mtok$1.25$0.80
Output $/Mtok$4.25$1.00
Coding index70.3Not benchmarked
Independent measurements behind it30
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Qwen2.5 VL 72B Instruct for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Qwen2.5 VL 72B Instruct has none, so the two cannot be ranked on coding. Pick Qwen2.5 VL 72B Instruct for output tokens 4.3x cheaper ($1.00 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Qwen2.5 VL 72B Instruct?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen2.5 VL 72B Instruct costs $0.80 and $1.00. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Qwen2.5 VL 72B Instruct?

Muse Spark 1.1, with 1.05M tokens against 128K.

How many benchmarks is the Muse Spark 1.1 vs Qwen2.5 VL 72B Instruct comparison based on?

3 benchmarks have a result for both models as of October 23, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Qwen2.5 VL 72B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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