Model comparison

Mercury vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.6 on the Noometry Index.

Last verified . 8 shared benchmarks.

Mercury Inception

37.6

Rank #199 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Mercury scores higher in 0 categories and Muse Spark 1.1 in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 17.5.

Side by side

Mercury and Muse Spark 1.1 specifications
MercuryMuse Spark 1.1
ProviderInceptionMeta
Noometry Index37.649.9
Released—2026-04-08
WeightsProprietaryProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked937

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Category by category

Coding Muse Spark 1.1 leads

Mercury: 38.7 (#170), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Coding13221498
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%

Agentic & Tool Use Not comparable

Mercury: —, Muse Spark 1.1: 30.8 (#73)

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

Reasoning Muse Spark 1.1 leads

Mercury: 17.5 (#293), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Hard Prompts12851486
Kagi LLM Benchmark21.6%—
NYT Connections (extended)—84.9%
CritPt—15.1%
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.21

Math Not comparable

Mercury: —, Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkMercuryMuse Spark 1.1
ProofBench—39%
LMArena Math—1483

Knowledge Not comparable

Mercury: —, Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkMercuryMuse Spark 1.1
SimpleQA Verified—57.8%
LMArena Expert—1478

Multimodal Not comparable

Mercury: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Vision—1293
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

Mercury: 41.6 (#206), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Non-English12601472
LMArena Chinese—1518
LMArena French—1494
LMArena German—1466
LMArena Japanese—1451
LMArena Korean—1458
LMArena Russian—1483
LMArena Spanish—1464

Instruction Following Muse Spark 1.1 leads

Mercury: 65.2 (#224), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Instruction Following12391457

Long Context Muse Spark 1.1 leads

Mercury: 38.4 (#198), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Longer Query12661462

Writing & Preference Muse Spark 1.1 leads

Mercury: 46.2 (#221), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkMercuryMuse Spark 1.1
LMArena Text12821479
LMArena Creative Writing11911437
LMArena Multi-Turn12821485
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260

Frequently asked questions

Is Mercury better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.6 on the Noometry Index.

Is Mercury or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 38.7 in the Noometry coding category.

How many benchmarks do Mercury and Muse Spark 1.1 share?

8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Muse Spark 1.1 has 37.

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