Noometry

Model comparison

DeepSeek Coder 1.3B vs Muse Spark 1.2

Muse Spark 1.2 has enough public results to be ranked (#48); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

DeepSeek Coder 1.3B DeepSeek

35.0

Unranked Sparse

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek Coder 1.3B scores higher in 0 categories and Muse Spark 1.2 in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Muse Spark 1.2 leads 49.2 to 31.2.
  • DeepSeek Coder 1.3B has downloadable open weights; the other is API-only.

Side by side

DeepSeek Coder 1.3BMuse Spark 1.2
ProviderDeepSeekMeta
Noometry Index35.050.3
Released2023-11-022026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked931

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Category by category

Coding Muse Spark 1.2 leads

DeepSeek Coder 1.3B: 31.2 (#287), Muse Spark 1.2: 49.2 (#51)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
BigCodeBench Instruct22.8%—
LMArena Coding—1495
BigCodeBench Complete29.6%—
HumanEval+60.4%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 51.3 (#34)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
Epoch Capabilities Index63.6154.87
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
LMArena Hard Prompts—1486
DTBench—94.7%
LMCA—48.4%
WinoGrande53.3%—

Math Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 46.4 (#70)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
ProofBench—43%
LMArena Math—1471
GSM8K4.4%—

Knowledge Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 54.1 (#53)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
SimpleQA Verified—60.3%
LMArena Expert—1480
ARC (AI2) Challenge25.4%—
MMLU25.8%—

Multimodal Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
LMArena Vision—1305

Multilingual Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 57.1 (#11)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
LMArena Non-English—1478
LMArena Chinese—1511
LMArena French—1513
LMArena Russian—1487
LMArena Spanish—1498

Instruction Following Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 76.7 (#36)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
LMArena Instruction Following—1461

Long Context Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 45.2 (#48)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
LMArena Longer Query—1475

Writing & Preference Not comparable

DeepSeek Coder 1.3B: —, Muse Spark 1.2: 72.3 (#14)

BenchmarkDeepSeek Coder 1.3BMuse Spark 1.2
LMArena Text—1482
LMArena Creative Writing—1449
EQ-Bench Creative Writing—1840
LMArena Multi-Turn—1494

Frequently asked questions

Is DeepSeek Coder 1.3B better than Muse Spark 1.2?

Muse Spark 1.2 has enough public results to be ranked (#48); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

Is DeepSeek Coder 1.3B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 31.2 in the Noometry coding category.

How many benchmarks do DeepSeek Coder 1.3B and Muse Spark 1.2 share?

1 benchmark has published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Muse Spark 1.2 has 31.

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