Noometry

Model comparison

DeepSeek V4.1 Flash vs Muse Spark 1.2

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 50.3 on the Noometry Index.

Last verified . 26 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 26 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 5 categories and Muse Spark 1.2 in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 46.4.
  • The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 43% for Muse Spark 1.2.
  • DeepSeek V4.1 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 V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashMuse Spark 1.2
ProviderDeepSeekMeta
Noometry Index52.850.3
Released2026-09-092026-08-05
WeightsOpenProprietary
Context window1M1.05M
Max output393K131K
Input $ / M tokens$0.15$1.25
Output $ / M tokens$0.60$4.25
Results tracked3731

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Muse Spark 1.2: 49.2 (#51)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena WebDev16191533
SciCode51.9%56.4%
LMArena Coding15061495
DeepSWE—54.9%
FrontierSWE—12%
WeirdML—60.3%
ALE-Bench1,092—

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), Muse Spark 1.2: 29.4 (#87)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
APEX-Agents39.5%36.4%
GDP.pdf19.8%16%

Reasoning Muse Spark 1.2 leads

DeepSeek V4.1 Flash: 50.2 (#36), Muse Spark 1.2: 51.3 (#34)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
NYT Connections (extended)89.6%79.2%
CritPt14.3%17.7%
LMArena Hard Prompts14831486
DTBench89.9%94.7%
LMCA47%48.4%
Epoch Capabilities Index154.9154.87
SimpleBench—74.5%
Mystery Game Puzzles43%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Muse Spark 1.2: 46.4 (#70)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
ProofBench54%43%
LMArena Math14771471
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Muse Spark 1.2: 54.1 (#53)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena Expert15061480
GPQA Diamond89.8%—
SimpleQA Verified—60.3%

Multimodal Muse Spark 1.2 leads

DeepSeek V4.1 Flash: 39.1 (#61), Muse Spark 1.2: 43.4 (#25)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena Vision12771305
Furniture Assembly34.2%—

Multilingual Muse Spark 1.2 leads

DeepSeek V4.1 Flash: 55.0 (#35), Muse Spark 1.2: 57.1 (#11)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena Non-English14481478
LMArena Chinese14971511
LMArena French14521513
LMArena Russian14711487
LMArena Spanish14591498
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—

Instruction Following Too close to call

DeepSeek V4.1 Flash: 77.3 (#26), Muse Spark 1.2: 76.7 (#36)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena Instruction Following14741461

Long Context Too close to call

DeepSeek V4.1 Flash: 45.2 (#47), Muse Spark 1.2: 45.2 (#48)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena Longer Query14751475

Writing & Preference Muse Spark 1.2 leads

DeepSeek V4.1 Flash: 65.4 (#48), Muse Spark 1.2: 72.3 (#14)

BenchmarkDeepSeek V4.1 FlashMuse Spark 1.2
LMArena Text14621482
LMArena Creative Writing14351449
EQ-Bench Creative Writing15401840
LMArena Multi-Turn14571494

Frequently asked questions

Is DeepSeek V4.1 Flash better than Muse Spark 1.2?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 50.3 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Muse Spark 1.2?

DeepSeek V4.1 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 V4.1 Flash or Muse Spark 1.2 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 49.2 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 V4.1 Flash and Muse Spark 1.2 share?

26 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Muse Spark 1.2 has 31.

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