Model comparison

Mercury 2.5 vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 33.5 on the Noometry Index. Mercury 2.5 costs 30× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

Mercury 2.5 Inception

33.5

Rank #242 Reported

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Mercury 2.5 scores higher in 0 categories and Muse Spark 1.3 in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 23.3.
  • The biggest single-benchmark swing is ProofBench: 3% for Mercury 2.5 and 58% for Muse Spark 1.3.
  • Mercury 2.5 is cheaper at $0.04 / $0.15 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 260K.

Side by side

Mercury 2.5 and Muse Spark 1.3 specifications
Mercury 2.5Muse Spark 1.3
ProviderInceptionMeta
Noometry Index33.554.8
Released2026-09-082026-09-02
WeightsProprietaryProprietary
Context window260K1.05M
Max output66K131K
Input $ / M tokens$0.04$1.25
Output $ / M tokens$0.15$4.25
Results tracked437

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Category by category

Coding Muse Spark 1.3 leads

Mercury 2.5: 39.5 (#156), Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
SciCode38.5%59.7%
CursorBench—41.6%
LMArena WebDev—1657
LMArena Coding—1514
ALE-Bench301.65—

Agentic & Tool Use Not comparable

Mercury 2.5: —, Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Mercury 2.5: 22.4 (#193), Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
CritPt0%26%
NYT Connections (extended)—85.1%
Chess Puzzles—38%
LMArena Hard Prompts—1503
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Muse Spark 1.3 leads

Mercury 2.5: 23.3 (#272), Muse Spark 1.3: 73.1 (#21)

Math benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
ProofBench3%58%
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
LMArena Math—1494

Knowledge Not comparable

Mercury 2.5: —, Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

Mercury 2.5: —, Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Not comparable

Mercury 2.5: —, Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
LMArena Non-English—1481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Not comparable

Mercury 2.5: —, Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
LMArena Instruction Following—1477

Long Context Not comparable

Mercury 2.5: —, Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
LMArena Longer Query—1488

Writing & Preference Not comparable

Mercury 2.5: —, Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
BenchmarkMercury 2.5Muse Spark 1.3
LMArena Text—1490
LMArena Creative Writing—1455
EQ-Bench Creative Writing—1906
LMArena Multi-Turn—1482

Frequently asked questions

Is Mercury 2.5 better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 33.5 on the Noometry Index. Mercury 2.5 costs 30× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

Which is cheaper, Mercury 2.5 or Muse Spark 1.3?

Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

Is Mercury 2.5 or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 260K.

How many benchmarks do Mercury 2.5 and Muse Spark 1.3 share?

3 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and Muse Spark 1.3 has 37.

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