Model comparison

DeepSeek V4 Flash vs Muse Spark 1.1

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 49.9 on the Noometry Index.

Last verified . 27 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 27 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 3 categories and Muse Spark 1.1 in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 45.5.
  • The biggest single-benchmark swing is SimpleQA Verified: 33.6% for DeepSeek V4 Flash and 57.8% for Muse Spark 1.1.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
  • Muse Spark 1.1 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 Flash and Muse Spark 1.1 specifications
DeepSeek V4 FlashMuse Spark 1.1
ProviderDeepSeekMeta
Noometry Index53.649.9
Released2026-04-242026-04-08
WeightsOpenProprietary
Context window1M1.05M
Max output393K131K
Input $ / M tokens$0.15$1.25
Output $ / M tokens$0.60$4.25
Results tracked4137

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Category by category

Coding Muse Spark 1.1 leads

DeepSeek V4 Flash: 47.9 (#59), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
LMArena WebDev15821542
SciCode49.9%58.8%
LMArena Coding14571498
DeepSWE—53.3%
FrontierCode18.8%—
WeirdML63%—
ALE-Bench1,306—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
APEX-Agents—31.8%
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
NYT Connections (extended)89.6%84.9%
CritPt16.6%15.1%
LMArena Hard Prompts14441486
DTBench90.9%94.4%
LMCA41.7%49.9%
Epoch Capabilities Index154.49154.21
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
ARC-AGI-189%—
Chess Puzzles33%—
Mystery Game Puzzles34%—
Surface Evolver Bench—52.5%

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
ProofBench56%39%
LMArena Math14271483
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 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
SimpleQA Verified33.6%57.8%
LMArena Expert14411478
GPQA Diamond91%—

Multimodal Not comparable

DeepSeek V4 Flash: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
LMArena Vision—1293
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

DeepSeek V4 Flash: 53.0 (#72), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
LMArena Non-English14201472
LMArena Chinese14681518
LMArena French14391494
LMArena German14181466
LMArena Japanese14061451
LMArena Korean13841458
LMArena Russian14281483
LMArena Spanish14361464

Instruction Following Muse Spark 1.1 leads

DeepSeek V4 Flash: 74.9 (#81), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
LMArena Instruction Following14211457

Long Context Too close to call

DeepSeek V4 Flash: 43.8 (#85), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
LMArena Longer Query14341462

Writing & Preference Muse Spark 1.1 leads

DeepSeek V4 Flash: 63.8 (#61), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashMuse Spark 1.1
LMArena Text14321479
LMArena Creative Writing14031437
EQ-Bench Creative Writing15591927
LMArena Multi-Turn14491485
EQ-Bench 4—1260

Frequently asked questions

Is DeepSeek V4 Flash better than Muse Spark 1.1?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 49.9 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or Muse Spark 1.1?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is DeepSeek V4 Flash or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 47.9 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4 Flash and Muse Spark 1.1 share?

27 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Muse Spark 1.1 has 37.

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