Model comparison

Muse Spark 1.2 vs Qwen3.6 27B

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 42.2 on the Noometry Index.

Last verified . 5 shared benchmarks.

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Qwen3.6 27B Alibaba (Qwen)

42.2

Rank #117 Confirmed

Summary

  • They share 5 benchmarks with published results for both. Muse Spark 1.2 scores higher in 4 categories and Qwen3.6 27B in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 25.0.
  • The biggest single-benchmark swing is SciCode: 56.4% for Muse Spark 1.2 and 37.3% for Qwen3.6 27B.
  • Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 262K.
  • Qwen3.6 27B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.2 and Qwen3.6 27B specifications
Muse Spark 1.2Qwen3.6 27B
ProviderMetaAlibaba (Qwen)
Noometry Index50.342.2
Released2026-08-052026-04-22
WeightsProprietaryOpen
Context window1.05M262K
Max output131K66K
Input $ / M tokens$1.25$0.60
Output $ / M tokens$4.25$3.60
Results tracked3111

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Category by category

Coding Muse Spark 1.2 leads

Muse Spark 1.2: 49.2 (#51), Qwen3.6 27B: 39.1 (#163)

Coding benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
SciCode56.4%37.3%
DeepSWE54.9%—
LMArena WebDev1533—
FrontierSWE12%—
WeirdML60.3%—
LMArena Coding1495—

Agentic & Tool Use Not comparable

Muse Spark 1.2: 29.4 (#87), Qwen3.6 27B: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
APEX-Agents36.4%—
GDP.pdf16%—

Reasoning Muse Spark 1.2 leads

Muse Spark 1.2: 51.3 (#34), Qwen3.6 27B: 25.0 (#153)

Reasoning benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
CritPt17.7%0.9%
DTBench94.7%78.1%
LMCA48.4%34.5%
Epoch Capabilities Index154.87146.5
SimpleBench74.5%—
NYT Connections (extended)79.2%—
Chess Puzzles—22%
LMArena Hard Prompts1486—
Mystery Game Puzzles—7%

Math Qwen3.6 27B leads

Muse Spark 1.2: 46.4 (#70), Qwen3.6 27B: 48.5 (#62)

Math benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
FrontierMath (Tiers 1-3)—35.1%
OTIS Mock AIME 2024-2025—91.1%
ProofBench43%—
LMArena Math1471—

Knowledge Muse Spark 1.2 leads

Muse Spark 1.2: 54.1 (#53), Qwen3.6 27B: 52.4 (#63)

Knowledge benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
GPQA Diamond—85.9%
SimpleQA Verified60.3%—
LMArena Expert1480—

Multimodal Not comparable

Muse Spark 1.2: 43.4 (#25), Qwen3.6 27B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
LMArena Vision1305—

Multilingual Not comparable

Muse Spark 1.2: 57.1 (#11), Qwen3.6 27B: —

Multilingual benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
LMArena Non-English1478—
LMArena Chinese1511—
LMArena French1513—
LMArena Russian1487—
LMArena Spanish1498—

Instruction Following Not comparable

Muse Spark 1.2: 76.7 (#36), Qwen3.6 27B: —

Instruction Following benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
LMArena Instruction Following1461—

Long Context Not comparable

Muse Spark 1.2: 45.2 (#48), Qwen3.6 27B: —

Long Context benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
LMArena Longer Query1475—

Writing & Preference Muse Spark 1.2 leads

Muse Spark 1.2: 72.3 (#14), Qwen3.6 27B: 50.3 (#181)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.2Qwen3.6 27B
LMArena Text1482—
LMArena Creative Writing1449—
EQ-Bench Creative Writing1840—
EQ-Bench 4—1026
LMArena Multi-Turn1494—

Frequently asked questions

Is Muse Spark 1.2 better than Qwen3.6 27B?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 42.2 on the Noometry Index.

Which is cheaper, Muse Spark 1.2 or Qwen3.6 27B?

Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is Muse Spark 1.2 or Qwen3.6 27B better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 262K.

How many benchmarks do Muse Spark 1.2 and Qwen3.6 27B share?

5 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Qwen3.6 27B has 11.

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