Model comparison

Mercury vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 37.6 on the Noometry Index.

Last verified . 8 shared benchmarks.

Mercury Inception

37.6

Rank #199 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Mercury scores higher in 0 categories and Muse Spark 1.3 in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 17.5.

Side by side

Mercury and Muse Spark 1.3 specifications
MercuryMuse Spark 1.3
ProviderInceptionMeta
Noometry Index37.654.8
Released—2026-09-02
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 1.3 leads

Mercury: 38.7 (#170), Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Coding13221514
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%

Agentic & Tool Use Not comparable

Mercury: —, Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
BenchmarkMercuryMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Mercury: 17.5 (#293), Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Hard Prompts12851503
Kagi LLM Benchmark21.6%—
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Not comparable

Mercury: —, Muse Spark 1.3: 73.1 (#21)

Math benchmarks
BenchmarkMercuryMuse Spark 1.3
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%
LMArena Math—1494

Knowledge Not comparable

Mercury: —, Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

Mercury: —, Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Mercury: 41.6 (#206), Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Non-English12601481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Muse Spark 1.3 leads

Mercury: 65.2 (#224), Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Instruction Following12391477

Long Context Muse Spark 1.3 leads

Mercury: 38.4 (#198), Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Longer Query12661488

Writing & Preference Muse Spark 1.3 leads

Mercury: 46.2 (#221), Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
BenchmarkMercuryMuse Spark 1.3
LMArena Text12821490
LMArena Creative Writing11911455
LMArena Multi-Turn12821482
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Mercury better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 37.6 on the Noometry Index.

Is Mercury or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 38.7 in the Noometry coding category.

How many benchmarks do Mercury and Muse Spark 1.3 share?

8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Muse Spark 1.3 has 37.

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