Noometry

Model comparison

DeepSeek V4 Flash vs Muse Spark 1.2

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 50.3 on the Noometry Index.

Last verified . 26 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 26 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 3 categories and Muse Spark 1.2 in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 46.4.
  • The biggest single-benchmark swing is SimpleQA Verified: 33.6% for DeepSeek V4 Flash and 60.3% for Muse Spark 1.2.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 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 1M.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 FlashMuse Spark 1.2
ProviderDeepSeekMeta
Noometry Index53.650.3
Released2026-04-242026-08-05
WeightsOpenProprietary
Context window1M1.05M
Max output393K131K
Input $ / M tokens$0.15$1.25
Output $ / M tokens$0.60$4.25
Results tracked4131

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Category by category

Coding Muse Spark 1.2 leads

DeepSeek V4 Flash: 47.9 (#59), Muse Spark 1.2: 49.2 (#51)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
LMArena WebDev15821533
SciCode49.9%56.4%
WeirdML63%60.3%
LMArena Coding14571495
DeepSWE—54.9%
FrontierCode18.8%—
FrontierSWE—12%
ALE-Bench1,306—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Muse Spark 1.2: 51.3 (#34)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
SimpleBench61.1%74.5%
NYT Connections (extended)89.6%79.2%
CritPt16.6%17.7%
LMArena Hard Prompts14441486
DTBench90.9%94.7%
LMCA41.7%48.4%
Epoch Capabilities Index154.49154.87
ARC-AGI-261.4%—
Kagi LLM Benchmark52.2%—
ARC-AGI-189%—
Chess Puzzles33%—
Mystery Game Puzzles34%—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Muse Spark 1.2: 46.4 (#70)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
ProofBench56%43%
LMArena Math14271471
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Muse Spark 1.2: 54.1 (#53)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
SimpleQA Verified33.6%60.3%
LMArena Expert14411480
GPQA Diamond91%—

Multimodal Not comparable

DeepSeek V4 Flash: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

DeepSeek V4 Flash: 53.0 (#72), Muse Spark 1.2: 57.1 (#11)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
LMArena Non-English14201478
LMArena Chinese14681511
LMArena French14391513
LMArena Russian14281487
LMArena Spanish14361498
LMArena German1418—
LMArena Japanese1406—
LMArena Korean1384—

Instruction Following Muse Spark 1.2 leads

DeepSeek V4 Flash: 74.9 (#81), Muse Spark 1.2: 76.7 (#36)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
LMArena Instruction Following14211461

Long Context Muse Spark 1.2 leads

DeepSeek V4 Flash: 43.8 (#85), Muse Spark 1.2: 45.2 (#48)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
LMArena Longer Query14341475

Writing & Preference Muse Spark 1.2 leads

DeepSeek V4 Flash: 63.8 (#61), Muse Spark 1.2: 72.3 (#14)

BenchmarkDeepSeek V4 FlashMuse Spark 1.2
LMArena Text14321482
LMArena Creative Writing14031449
EQ-Bench Creative Writing15591840
LMArena Multi-Turn14491494

Frequently asked questions

Is DeepSeek V4 Flash better than Muse Spark 1.2?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 50.3 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or Muse Spark 1.2?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is DeepSeek V4 Flash or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 47.9 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4 Flash and Muse Spark 1.2 share?

26 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Muse Spark 1.2 has 31.

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