Noometry

Model comparison

Deepseek Coder v2 vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 35.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

Deepseek Coder v2 DeepSeek

35.9

Rank #220 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.2 leads 72.3 to 38.2.
  • Deepseek Coder v2 has downloadable open weights; the other is API-only.

Side by side

Deepseek Coder v2Muse Spark 1.2
ProviderDeepSeekMeta
Noometry Index35.950.3
Released2024-06-172026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked2431

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Category by category

Coding Muse Spark 1.2 leads

Deepseek Coder v2: 38.1 (#183), Muse Spark 1.2: 49.2 (#51)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Coding12511495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
BigCodeBench Instruct48.2%—
BigCodeBench Complete59.7%—
HumanEval+82.3%—
MBPP+75.1%—

Agentic & Tool Use Not comparable

Deepseek Coder v2: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkDeepseek Coder v2Muse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Deepseek Coder v2: 23.6 (#176), Muse Spark 1.2: 51.3 (#34)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Hard Prompts12071486
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—154.87
WinoGrande83.7%—

Math Muse Spark 1.2 leads

Deepseek Coder v2: 34.9 (#190), Muse Spark 1.2: 46.4 (#70)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Math12411471
ProofBench—43%
GSM8K94.5%—

Knowledge Muse Spark 1.2 leads

Deepseek Coder v2: 32.3 (#212), Muse Spark 1.2: 54.1 (#53)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Expert11811480
SimpleQA Verified—60.3%
ARC (AI2) Challenge64.3%—

Multimodal Not comparable

Deepseek Coder v2: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

Deepseek Coder v2: 36.3 (#240), Muse Spark 1.2: 57.1 (#11)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Non-English11821478
LMArena Chinese12011511
LMArena French11851513
LMArena Russian11881487
LMArena Spanish11531498
LMArena German1164—
LMArena Japanese1126—
LMArena Korean1104—

Instruction Following Muse Spark 1.2 leads

Deepseek Coder v2: 61.7 (#242), Muse Spark 1.2: 76.7 (#36)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Instruction Following11801461

Long Context Muse Spark 1.2 leads

Deepseek Coder v2: 37.0 (#224), Muse Spark 1.2: 45.2 (#48)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Longer Query12191475

Writing & Preference Muse Spark 1.2 leads

Deepseek Coder v2: 38.2 (#253), Muse Spark 1.2: 72.3 (#14)

BenchmarkDeepseek Coder v2Muse Spark 1.2
LMArena Text11911482
LMArena Creative Writing11201449
LMArena Multi-Turn11771494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Deepseek Coder v2 better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 35.9 on the Noometry Index.

Is Deepseek Coder v2 or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 38.1 in the Noometry coding category.

How many benchmarks do Deepseek Coder v2 and Muse Spark 1.2 share?

14 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Muse Spark 1.2 has 31.

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