Model comparison

DeepSeek-V2 (MoE-236B, May 2024) vs Muse Spark 1.3

Muse Spark 1.3 has enough public results to be ranked (#27); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 0 categories and Muse Spark 1.3 in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Muse Spark 1.3 leads 56.6 to 40.4.
  • DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V2 (MoE-236B, May 2024) and Muse Spark 1.3 specifications
DeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
ProviderDeepSeekMeta
Noometry Index40.354.8
Released2024-05-072026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked1037

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Category by category

Coding Muse Spark 1.3 leads

DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%
BigCodeBench Instruct48.9%—
LMArena Coding—1514
BigCodeBench Complete59.4%—

Agentic & Tool Use Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
Epoch Capabilities Index124.77156.75
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
LMArena Hard Prompts—1503
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
BIG-Bench Hard78.8%—
HellaSwag87.1%—
PIQA83.9%—
WinoGrande86.3%—

Math Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 73.1 (#21)

Math benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%
LMArena Math—1494

Knowledge Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
LMArena Expert—1516
ARC (AI2) Challenge92.2%—
MMLU78.4%—
TriviaQA80%—

Multimodal Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
LMArena Non-English—1481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
LMArena Instruction Following—1477

Long Context Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
LMArena Longer Query—1488

Writing & Preference Not comparable

DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2 (MoE-236B, May 2024)Muse Spark 1.3
LMArena Text—1490
LMArena Creative Writing—1455
EQ-Bench Creative Writing—1906
LMArena Multi-Turn—1482

Frequently asked questions

Is DeepSeek-V2 (MoE-236B, May 2024) better than Muse Spark 1.3?

Muse Spark 1.3 has enough public results to be ranked (#27); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

Is DeepSeek-V2 (MoE-236B, May 2024) or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 40.4 in the Noometry coding category.

How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Muse Spark 1.3 share?

1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Muse Spark 1.3 has 37.

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