Model comparison

Muse Spark 1.2 vs Yi-34B

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 27.8 on the Noometry Index.

Last verified . 15 shared benchmarks.

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Muse Spark 1.2 scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark 1.2 leads 54.1 to 7.5.
  • Yi-34B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.2 and Yi-34B specifications
Muse Spark 1.2Yi-34B
ProviderMeta01.AI
Noometry Index50.327.8
Released2026-08-052023-11-02
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3123

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Category by category

Coding Muse Spark 1.2 leads

Muse Spark 1.2: 49.2 (#51), Yi-34B: 32.3 (#274)

Coding benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Coding14951112
DeepSWE54.9%—
LMArena WebDev1533—
FrontierSWE12%—
SciCode56.4%—
WeirdML60.3%—

Agentic & Tool Use Not comparable

Muse Spark 1.2: 29.4 (#87), Yi-34B: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.2Yi-34B
APEX-Agents36.4%—
GDP.pdf16%—

Reasoning Muse Spark 1.2 leads

Muse Spark 1.2: 51.3 (#34), Yi-34B: 21.2 (#226)

Reasoning benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Hard Prompts14861104
Epoch Capabilities Index154.87117.39
SimpleBench74.5%—
NYT Connections (extended)79.2%—
CritPt17.7%—
DTBench94.7%—
LMCA48.4%—
BIG-Bench Hard—71.7%

Math Muse Spark 1.2 leads

Muse Spark 1.2: 46.4 (#70), Yi-34B: 21.6 (#282)

Math benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Math14711114
ProofBench43%—
MATH Level 5—5.1%
GSM8K—76%

Knowledge Muse Spark 1.2 leads

Muse Spark 1.2: 54.1 (#53), Yi-34B: 7.5 (#309)

Knowledge benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Expert14801061
GPQA Diamond—14.7%
SimpleQA Verified60.3%—
MMLU—76.3%

Multimodal Not comparable

Muse Spark 1.2: 43.4 (#25), Yi-34B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Vision1305—

Multilingual Muse Spark 1.2 leads

Muse Spark 1.2: 57.1 (#11), Yi-34B: 29.7 (#264)

Multilingual benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Non-English14781079
LMArena Chinese15111176
LMArena French15131081
LMArena Russian14871050
LMArena Spanish14981070
LMArena German—1042
LMArena Japanese—993
LMArena Korean—959

Instruction Following Muse Spark 1.2 leads

Muse Spark 1.2: 76.7 (#36), Yi-34B: 56.2 (#274)

Instruction Following benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Instruction Following14611091

Long Context Muse Spark 1.2 leads

Muse Spark 1.2: 45.2 (#48), Yi-34B: 33.2 (#264)

Long Context benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Longer Query14751094

Writing & Preference Muse Spark 1.2 leads

Muse Spark 1.2: 72.3 (#14), Yi-34B: 34.1 (#273)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.2Yi-34B
LMArena Text14821129
LMArena Creative Writing14491108
LMArena Multi-Turn14941113
EQ-Bench Creative Writing1840—

Frequently asked questions

Is Muse Spark 1.2 better than Yi-34B?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 27.8 on the Noometry Index.

Is Muse Spark 1.2 or Yi-34B better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 32.3 in the Noometry coding category.

How many benchmarks do Muse Spark 1.2 and Yi-34B share?

15 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Yi-34B has 23.

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