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Muse Spark 1.3 vs Qwen3.8 27B

Qwen3.8 27B leads Muse Spark 1.3 on coding, 74.2 to 57.4 on the Vibe Coding Index, and Qwen3.8 27B costs 1.7x less per output token ($2.55 vs $4.25 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

Replace Muse Spark 1.3 Replace Qwen3.8 27B
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
69
Qwen3.8 27BQwen
Coding
74.2
Overall
59.6
Output $/M
$2.55
1
vs boards won of 70 shared

Muse Spark 1.3 or Qwen3.8 27B: which to pick

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 57.4 for Muse Spark 1.3.

Pick Muse Spark 1.3 for a larger context window (1.05M against 1M tokens) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Model AMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved taskModel BQwen3.8 27BQwen74.2/1004 independent benchmarks$1.26 per solved task
Shared results
70
Muse Spark 1.3 only
26
Qwen3.8 27B only
15
Like-for-like categories
8 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 1.3 57.4 from 4 benchmarks, Qwen3.8 27B 74.2 from 4 benchmarks.
Widest category
Math, 18.2 points apart on average over 3 shared benchmarks.
Widest single gap
LiveBench browser: Muse Spark 1.3 80.0% against Qwen3.8 27B 32.0%, 48.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Qwen3.8 27B $2.55 per million output tokens, 1.7x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Qwen3.8 27B 1M.

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 1.3BarsQwen3.8 27BTies
Coding150
Intelligence20
Agentic work100
Reasoning80
Math30
Knowledge40
Web design01
General270
All shared boards691
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
Coding benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
LiveBench coding90.2%86.8%Muse Spark 1.3
LMArena WebDev16591593Muse Spark 1.3
AA Coding Index75.868.1Muse Spark 1.3
LiveCodeBench (Vals AI)Not measured84.0%Only Qwen3.8 27B measured
SWE-bench Verified (Vals AI)Not measured86.0%Only Qwen3.8 27B measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%64.8%Muse Spark 1.3
Code migration (Vals AI)27.6%14.2%Muse Spark 1.3
ProgramBench (Vals AI)0.5%0.0%Muse Spark 1.3
IOI (Vals AI)43.9%39.1%Muse Spark 1.3
Terminal-Bench 2.1 (Vals AI)72.3%58.4%Muse Spark 1.3
SkillsBench (Vals AI)Not measured38.1%Only Qwen3.8 27B measured
CyberBench (Vals AI)69.4%67.8%Muse Spark 1.3
SciCode59.7%46.6%Muse Spark 1.3
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101483Muse Spark 1.3
LMArena Text: software and IT15111478Muse Spark 1.3
LMArena WebDev: React16721602Muse Spark 1.3
LMArena WebDev: HTML16531570Muse Spark 1.3
LMArena WebDev: from an image16401577Muse Spark 1.3
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
AA Intelligence Index48.133.7Muse Spark 1.3
Epoch Capabilities Index157.2151.7Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
Agentic work benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
AA Agentic Index55.545.8Muse Spark 1.3
Design Arena: agents building web apps1297Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building full-stack apps1295Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building mobile apps1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1075Not measuredOnly Muse Spark 1.3 measured
LiveBench research68.6%59.4%Muse Spark 1.3
LiveBench browser80.0%32.0%Muse Spark 1.3
LiveBench long agentic40.4%27.9%Muse Spark 1.3
Finance Agent (Vals AI)58.9%48.5%Muse Spark 1.3
Tax Agent Bench (Vals AI)36.0%30.9%Muse Spark 1.3
Legal Research Bench (Vals AI)40.9%36.1%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)62.7%59.7%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)4.3%0.0%Muse Spark 1.3
APEX-Agents58.6%47.5%Muse Spark 1.3
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
GPQA DiamondNot measured88.9%Only Qwen3.8 27B measured
LiveBench reasoning89.7%80.0%Muse Spark 1.3
MMMU Pro (Vals AI)Not measured83.9%Only Qwen3.8 27B measured
GPQA Diamond (Artificial Analysis run)94.1%90.5%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%33.9%Muse Spark 1.3
ARC-AGINot measured87.5%Only Qwen3.8 27B measured
ARC-AGI-2Not measured42.4%Only Qwen3.8 27B measured
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts15031459Muse Spark 1.3
LMArena Text: expert15191479Muse Spark 1.3
LMArena Text: hard prompts in English15001461Muse Spark 1.3
LMArena Vision: diagrams13301285Muse Spark 1.3
LMArena Vision: homework12961295Muse Spark 1.3
Humanity's Last Exam (Scale run)25.4%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
OTIS Mock AIME99.2%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tiers 1 to 374.4%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%16.0%Muse Spark 1.3
LMArena Text: math14971455Muse Spark 1.3
LMArena Text: mathematical work14911458Muse Spark 1.3
MathArena43.0%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
MMLU ProNot measured84.3%Only Qwen3.8 27B measured
LegalBench (Vals AI)Not measured82.4%Only Qwen3.8 27B measured
TaxEval (Vals AI)Not measured70.8%Only Qwen3.8 27B measured
MortgageTax (Vals AI)Not measured64.9%Only Qwen3.8 27B measured
MedCode (Vals AI)Not measured28.7%Only Qwen3.8 27B measured
LMArena Text: science15071467Muse Spark 1.3
LMArena Text: medicine and healthcare14931437Muse Spark 1.3
LMArena Text: legal and government14991447Muse Spark 1.3
LMArena Text: business and finance14901438Muse Spark 1.3
PRBench Finance59.5%Not measuredOnly Muse Spark 1.3 measured
PRBench Legal61.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
Design Arena: websites1356Not measuredOnly Muse Spark 1.3 measured
Design Arena: UI components1350Not measuredOnly Muse Spark 1.3 measured
Design Arena: game dev1328Not measuredOnly Muse Spark 1.3 measured
Design Arena: data viz1344Not measuredOnly Muse Spark 1.3 measured
Design Arena: 3D1358Not measuredOnly Muse Spark 1.3 measured
Design Arena: all code categories1352Not measuredOnly Muse Spark 1.3 measured
Design Arena: SVG1301Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1283Not measuredOnly Muse Spark 1.3 measured
LiveBench design74.8%75.9%Qwen3.8 27B
GeneralLike-for-likePublic boards, shown as published, kept out of the index270
General benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
LiveBench data analysis79.6%76.6%Muse Spark 1.3
SAGE (Vals AI)Not measured52.4%Only Qwen3.8 27B measured
MedScribe (Vals AI)Not measured83.8%Only Qwen3.8 27B measured
Long context reasoning (AA-LCR)83.0%82.0%Muse Spark 1.3
DTBench96.5%88.0%Muse Spark 1.3
LMCA53.9%41.4%Muse Spark 1.3
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
LMArena Text14901440Muse Spark 1.3
LMArena Text: instruction following14791436Muse Spark 1.3
LMArena Text: creative writing14621383Muse Spark 1.3
LMArena Vision13081269Muse Spark 1.3
LMArena Text: English14951448Muse Spark 1.3
LMArena Text: non-English14811428Muse Spark 1.3
LMArena Text: Chinese15321501Muse Spark 1.3
LMArena Text: German15131443Muse Spark 1.3
LMArena Text: Japanese14701387Muse Spark 1.3
LMArena Text: Korean14901384Muse Spark 1.3
LMArena Text: French15111465Muse Spark 1.3
LMArena Text: Spanish14961449Muse Spark 1.3
LMArena Text: Russian14911415Muse Spark 1.3
LMArena Text: Polish14901439Muse Spark 1.3
LMArena Text: multi-turn14871440Muse Spark 1.3
LMArena Text: longer queries14881448Muse Spark 1.3
LMArena Text: writing and language14701405Muse Spark 1.3
LMArena Text: entertainment and media14571393Muse Spark 1.3
LMArena Vision: English12981267Muse Spark 1.3
LMArena Vision: Chinese13841326Muse Spark 1.3
LMArena Vision: reading text13191281Muse Spark 1.3
LMArena Vision: humor12931235Muse Spark 1.3
LMArena Vision: creative writing12961237Muse Spark 1.3
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.3 and Qwen3.8 27B
BenchmarkMuse Spark 1.3Qwen3.8 27BLeader
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 1.3$0.0034Fits in one request
Qwen3.8 27B$0.0017Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Qwen3.8 27B$0.029Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Qwen3.8 27B$0.111Fits in one request

Qwen3.8 27B 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 1.3 and Qwen3.8 27B
SpecificationMeta Muse Spark 1.3Qwen3.8 27B
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026August 14, 2026
Context window1.05M1M
Input $/Mtok$1.25$0.425
Output $/Mtok$4.25$2.55
Coding index57.474.2
Independent measurements behind it44
Cost per solved taskNot computable$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 57.4 for Muse Spark 1.3. Pick Muse Spark 1.3 for a larger context window (1.05M against 1M tokens) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Which is cheaper, Muse Spark 1.3 or Qwen3.8 27B?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Cost per solved task is known for Qwen3.8 27B only.

Which has the bigger context window, Muse Spark 1.3 or Qwen3.8 27B?

Muse Spark 1.3, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.3 vs Qwen3.8 27B comparison based on?

70 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and Qwen3.8 27B's on 4. 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/meta-muse-spark-1-3-vs-qwen3-8-27b">LLMBenchmark.ai, Muse Spark 1.3 vs Qwen3.8 27B</a></p>