Model comparison

Mistral Small 3.2 vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 15× 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 12, 2026. 2 shared benchmarks.

Mistral Small 3.2

Mistral AI

31.2

Rank #280 Confirmed

Muse Spark 1.2

Summary

They share 2 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Muse Spark 1.2 in 4 categories; 4 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 18.1.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 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 256K.
Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

Mistral Small 3.2 and Muse Spark 1.2 specifications
	Mistral Small 3.2	Muse Spark 1.2
Provider	Mistral AI	Meta
Noometry Index	31.2	50.3
Released	2025-06-20	2026-08-05
Weights	Open	Proprietary
Context window	256K	1.05M
Max output	16K	131K
Input $ / M tokens	$0.0938	$1.25
Output $ / M tokens	$0.25	$4.25
Results tracked	6	31

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
DeepSWE	—	54.9%
LMArena WebDev	—	1533
FrontierSWE	—	12%
SciCode	—	56.4%
WeirdML	—	60.3%
LMArena Coding	—	1495

Agentic & Tool Use Not comparable

Mistral Small 3.2: —, Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
APEX-Agents	—	36.4%
GDP.pdf	—	16%

Reasoning Muse Spark 1.2 leads

Mistral Small 3.2: 18.1 (#287), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
Epoch Capabilities Index	131.74	154.87
SimpleBench	—	74.5%
Kagi LLM Benchmark	40.4%	—
NYT Connections (extended)	—	79.2%
CritPt	—	17.7%
Chess Puzzles	1%	—
LMArena Hard Prompts	—	1486
DTBench	—	94.7%
LMCA	—	48.4%

Math Muse Spark 1.2 leads

Mistral Small 3.2: 26.3 (#260), Muse Spark 1.2: 46.4 (#70)

Math benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
OTIS Mock AIME 2024-2025	30.3%	—
ProofBench	—	43%
LMArena Math	—	1471

Knowledge Muse Spark 1.2 leads

Mistral Small 3.2: 26.7 (#256), Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
GPQA Diamond	49.1%	—
SimpleQA Verified	—	60.3%
LMArena Expert	—	1480

Multimodal Not comparable

Mistral Small 3.2: —, Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
LMArena Vision	—	1305

Multilingual Not comparable

Mistral Small 3.2: —, Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
LMArena Non-English	—	1478
LMArena Chinese	—	1511
LMArena French	—	1513
LMArena Russian	—	1487
LMArena Spanish	—	1498

Instruction Following Not comparable

Mistral Small 3.2: —, Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
LMArena Instruction Following	—	1461

Long Context Not comparable

Mistral Small 3.2: —, Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
LMArena Longer Query	—	1475

Writing & Preference Muse Spark 1.2 leads

Mistral Small 3.2: 45.0 (#224), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
Benchmark	Mistral Small 3.2	Muse Spark 1.2
EQ-Bench Creative Writing	1255	1840
LMArena Text	—	1482
LMArena Creative Writing	—	1449
LMArena Multi-Turn	—	1494

Frequently asked questions

Is Mistral Small 3.2 better than Muse Spark 1.2?

Which is cheaper, Mistral Small 3.2 or Muse Spark 1.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 256K.

How many benchmarks do Mistral Small 3.2 and Muse Spark 1.2 share?

2 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Muse Spark 1.2 has 31.