Model comparison

DeepSeek-V3.2-Speciale vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 2.3× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Last verified October 10, 2026. 3 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.7

Rank #162 Reported

Muse Spark 1.2

Summary

They share 3 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 0 categories and Muse Spark 1.2 in 3 categories; 3 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Muse Spark 1.2 leads 72.3 to 46.0.
The biggest single-benchmark swing is SimpleBench: 52.6% for DeepSeek-V3.2-Speciale and 74.5% for Muse Spark 1.2.
DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 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 128K.
DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Speciale and Muse Spark 1.2 specifications
	DeepSeek-V3.2-Speciale	Muse Spark 1.2
Provider	DeepSeek	Meta
Noometry Index	39.7	50.3
Released	2025-12-01	2026-08-05
Weights	Open	Proprietary
Context window	128K	1.05M
Max output	128K	131K
Input $ / M tokens	$0.58	$1.25
Output $ / M tokens	$1.68	$4.25
Results tracked	3	31

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Category by category

Coding Muse Spark 1.2 leads

DeepSeek-V3.2-Speciale: 40.4 (#140), Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
WeirdML	46.7%	60.3%
DeepSWE	—	54.9%
LMArena WebDev	—	1533
FrontierSWE	—	12%
SciCode	—	56.4%
LMArena Coding	—	1495

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
APEX-Agents	—	36.4%
GDP.pdf	—	16%

Reasoning Muse Spark 1.2 leads

DeepSeek-V3.2-Speciale: 32.9 (#73), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
SimpleBench	52.6%	74.5%
NYT Connections (extended)	—	79.2%
CritPt	—	17.7%
LMArena Hard Prompts	—	1486
DTBench	—	94.7%
LMCA	—	48.4%
Epoch Capabilities Index	—	154.87

Math Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 46.4 (#70)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
ProofBench	—	43%
LMArena Math	—	1471

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
SimpleQA Verified	—	60.3%
LMArena Expert	—	1480

Multimodal Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
LMArena Vision	—	1305

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
LMArena Non-English	—	1478
LMArena Chinese	—	1511
LMArena French	—	1513
LMArena Russian	—	1487
LMArena Spanish	—	1498

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
LMArena Instruction Following	—	1461

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
LMArena Longer Query	—	1475

Writing & Preference Muse Spark 1.2 leads

DeepSeek-V3.2-Speciale: 46.0 (#222), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Muse Spark 1.2
EQ-Bench Creative Writing	1276	1840
LMArena Text	—	1482
LMArena Creative Writing	—	1449
LMArena Multi-Turn	—	1494

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than Muse Spark 1.2?

Which is cheaper, DeepSeek-V3.2-Speciale or Muse Spark 1.2?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is DeepSeek-V3.2-Speciale or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 40.4 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 128K.

How many benchmarks do DeepSeek-V3.2-Speciale and Muse Spark 1.2 share?

3 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Muse Spark 1.2 has 31.