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Muse Spark Open vs Qwen3.6 27B

Muse Spark Open leads Qwen3.6 27B on coding, 47.3 to 36.8 on the Vibe Coding Index, and Qwen3.6 27B costs 1.6x less per output token ($2.70 vs $4.25 per million). Updated October 23, 2026; 6 benchmarks have a result for both.

Muse Spark OpenMeta
Coding
47.3
Overall
44.9
Output $/M
$4.25
6
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
0
vs boards won of 6 shared

Muse Spark Open or Qwen3.6 27B: which to pick

Pick Muse Spark Open for coding: it scores 47.3 on the Vibe Coding Index against 36.8 for Qwen3.6 27B.

Pick Qwen3.6 27B for output tokens 1.6x cheaper ($2.70 vs $4.25 per million).

Shared results
6
Muse Spark Open only
27
Qwen3.6 27B only
19
Like-for-like categories
4 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 Open 47.3 from 4 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Coding, 39.9 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark Open 76.2% against Qwen3.6 27B 11.9%, 64.3 points apart on a 0 to 100 scale.
Output price
Muse Spark Open $4.25 against Qwen3.6 27B $2.70 per million output tokens, 1.6x apart.
Context window
Muse Spark Open takes 1.05M tokens, Qwen3.6 27B 262K.

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 OpenBarsQwen3.6 27BTies
Coding20
Intelligence10
Reasoning20
General10
All shared boards60
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
LiveBench coding73.6%Not measuredOnly Muse Spark Open measured
LMArena WebDev1527Not measuredOnly Muse Spark Open measured
AA Coding IndexNot measured53.7Only Qwen3.6 27B measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Qwen3.6 27B measured
Terminal-Bench 4 (Vals AI)6.6%Not measuredOnly Muse Spark Open measured
Vibe Code Bench (Vals AI)76.2%11.9%Muse Spark Open
Code migration (Vals AI)21.2%Not measuredOnly Muse Spark Open measured
SciCode58.4%42.8%Muse Spark Open
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 27B measured
ALE-Bench1590.1Not measuredOnly Muse Spark Open measured
LMArena WebDev: React1528Not measuredOnly Muse Spark Open measured
LMArena WebDev: HTML1489Not measuredOnly Muse Spark Open measured
SWE-Bench Pro V295.0%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
AA Intelligence IndexNot measured21.4Only Qwen3.6 27B measured
Epoch Capabilities Index155.1146.2Muse Spark Open
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
AA Agentic IndexNot measured18.5Only Qwen3.6 27B measured
LiveBench research80.3%Not measuredOnly Muse Spark Open measured
LiveBench browser36.0%Not measuredOnly Muse Spark Open measured
LiveBench long agentic18.9%Not measuredOnly Muse Spark Open measured
Finance Agent (Vals AI)61.3%Not measuredOnly Muse Spark Open measured
Tax Agent Bench (Vals AI)26.3%Not measuredOnly Muse Spark Open measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)25.0%Not measuredOnly Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)53.7%Not measuredOnly Muse Spark Open measured
τ²-Bench TelecomNot measured94.2%Only Qwen3.6 27B measured
APEX-Agents33.4%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
LiveBench reasoning73.7%Not measuredOnly Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)89.0%84.2%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)43.9%23.1%Muse Spark Open
GPQA Diamond (Epoch AI run)Not measured85.9%Only Qwen3.6 27B measured
Mystery game puzzlesNot measured7.0%Only Qwen3.6 27B measured
Humanity's Last Exam (Scale run)28.0%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
OTIS Mock AIMENot measured91.1%Only Qwen3.6 27B measured
FrontierMath, tiers 1 to 3Not measured35.1%Only Qwen3.6 27B measured
MathArena33.6%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)Not measured62.3%Only Qwen3.6 27B measured
TaxEval (Vals AI)Not measured71.3%Only Qwen3.6 27B measured
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B measured
PRBench Legal59.8%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
Design Arena: websites1320Not measuredOnly Muse Spark Open measured
Design Arena: game dev1288Not measuredOnly Muse Spark Open measured
LiveBench design60.3%Not measuredOnly 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 index10
General benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 27BLeader
Vals Index48.6%Not measuredOnly Muse Spark Open measured
LiveBench data analysis60.2%Not measuredOnly Muse Spark Open measured
SAGE (Vals AI)Not measured45.6%Only Qwen3.6 27B measured
IFBenchNot measured67.6%Only Qwen3.6 27B measured
Long context reasoning (AA-LCR)78.3%77.3%Muse Spark Open
DTBenchNot measured78.1%Only Qwen3.6 27B measured
LMCANot measured34.5%Only Qwen3.6 27B measured
MultiChallenge74.2%Not measuredOnly Muse Spark Open measured
EQ-Bench 4Not measured1026Only Qwen3.6 27B measured
Neither model has a result on the other 39 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark Open and Qwen3.6 27B
BenchmarkMuse Spark OpenQwen3.6 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 Open$0.0034Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Muse Spark Open$0.075Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Muse Spark Open$0.292Fits in one request
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 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 Open and Qwen3.6 27B
SpecificationMeta Muse Spark OpenQwen3.6 27B
MakerMetaQwen
WeightsOpen weightsOpen weights
ReleasedOctober 15, 2026April 27, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.45
Output $/Mtok$4.25$2.70
Coding index47.336.8
Independent measurements behind it42
Cost per solved taskNot computable$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark Open better than Qwen3.6 27B for coding?

Pick Muse Spark Open for coding: it scores 47.3 on the Vibe Coding Index against 36.8 for Qwen3.6 27B. Pick Qwen3.6 27B for output tokens 1.6x cheaper ($2.70 vs $4.25 per million).

Which is cheaper, Muse Spark Open or Qwen3.6 27B?

Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Cost per solved task is known for Qwen3.6 27B only.

Which has the bigger context window, Muse Spark Open or Qwen3.6 27B?

Muse Spark Open, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark Open vs Qwen3.6 27B comparison based on?

6 benchmarks have a result for both models as of October 23, 2026. Muse Spark Open's coding index rests on 4 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-spark-open-vs-qwen3-6-27b" title="Muse Spark Open vs Qwen3.6 27B, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-open-vs-qwen3-6-27b">LLMBenchmark.ai, Muse Spark Open vs Qwen3.6 27B</a></p>