Model comparison

DeepSeek V4.1 Flash vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 50.3 on the Noometry Index. DeepSeek V4.1 Flash costs 7.6× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

Last verified October 10, 2026. 22 shared benchmarks.

DeepSeek V4.1 Flash

DeepSeek

50.3

Rank #40 Confirmed

Muse Spark 1.3

Summary

They share 22 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 5 gaps are clear of the uncertainty.
The widest gap is in math, where Muse Spark 1.3 leads 72.4 to 48.4.
The biggest single-benchmark swing is CritPt: 14.3% for DeepSeek V4.1 Flash and 24.9% for Muse Spark 1.3.
DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
Muse Spark 1.3 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 Flash and Muse Spark 1.3 specifications
	DeepSeek V4.1 Flash	Muse Spark 1.3
Provider	DeepSeek	Meta
Noometry Index	50.3	54.4
Released	2026-09-09	2026-09-02
Weights	Open	Proprietary
Context window	1M	1.05M
Max output	393K	131K
Input $ / M tokens	$0.15	$1.25
Output $ / M tokens	$0.60	$4.25
Results tracked	25	34

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Muse Spark 1.3 leads

DeepSeek V4.1 Flash: 52.8 (#29), Muse Spark 1.3: 56.1 (#18)

Coding benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena WebDev	1620	1655
SciCode	51.9%	59.7%
LMArena Coding	1511	1516
CursorBench	—	41.6%
ALE-Bench	1,092	—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, Muse Spark 1.3: 38.6 (#28)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
APEX-Agents	—	57.8%
GDP.pdf	—	27.6%

Reasoning Muse Spark 1.3 leads

DeepSeek V4.1 Flash: 46.2 (#39), Muse Spark 1.3: 52.9 (#27)

Reasoning benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
NYT Connections (extended)	89.6%	85.1%
CritPt	14.3%	24.9%
LMArena Hard Prompts	1485	1503
DTBench	89.9%	96.5%
LMCA	47%	53.9%
Epoch Capabilities Index	155.01	156.89
Chess Puzzles	—	38%
Mystery Game Puzzles	—	25%
Surface Evolver Bench	46.3%	—
Bench to the Future 3	—	0.14

Math Muse Spark 1.3 leads

DeepSeek V4.1 Flash: 48.4 (#52), Muse Spark 1.3: 72.4 (#16)

Math benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Math	1493	1497
FrontierMath (Tiers 1-3)	—	74.4%
FrontierMath Tier 4	—	46.3%
OTIS Mock AIME 2024-2025	—	99.2%
ProofBench	54%	—

Knowledge Too close to call

DeepSeek V4.1 Flash: 41.6 (#97), Muse Spark 1.3: 42.0 (#92)

Knowledge benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Expert	1505	1516

Multimodal Not comparable

DeepSeek V4.1 Flash: —, Muse Spark 1.3: 43.0 (#21)

Multimodal benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Vision	—	1310
LMArena Document	—	1471

Multilingual Muse Spark 1.3 leads

DeepSeek V4.1 Flash: 55.5 (#29), Muse Spark 1.3: 57.8 (#6)

Multilingual benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Non-English	1452	1485
LMArena Chinese	1506	1527
LMArena French	1448	1534
LMArena Russian	1473	1491
LMArena Spanish	1499	1485
LMArena Korean	—	1513

Instruction Following Too close to call

DeepSeek V4.1 Flash: 77.6 (#24), Muse Spark 1.3: 77.8 (#14)

Instruction Following benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Instruction Following	1475	1481

Long Context Too close to call

DeepSeek V4.1 Flash: 45.2 (#46), Muse Spark 1.3: 45.7 (#29)

Long Context benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Longer Query	1476	1491

Writing & Preference Muse Spark 1.3 leads

DeepSeek V4.1 Flash: 65.8 (#43), Muse Spark 1.3: 73.7 (#10)

Writing & Preference benchmarks
Benchmark	DeepSeek V4.1 Flash	Muse Spark 1.3
LMArena Text	1465	1490
LMArena Creative Writing	1436	1450
EQ-Bench Creative Writing	1540	1906
LMArena Multi-Turn	1460	1486

Frequently asked questions

Is DeepSeek V4.1 Flash better than Muse Spark 1.3?

Which is cheaper, DeepSeek V4.1 Flash or Muse Spark 1.3?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

Is DeepSeek V4.1 Flash or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 52.8 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4.1 Flash and Muse Spark 1.3 share?

22 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Muse Spark 1.3 has 34.