Model comparison

Muse Spark 1.3 vs Phi-4 Mini

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 15× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Phi-4 Mini Microsoft

30.9

Rank #283 Reported

Summary

  • They share 2 benchmarks with published results for both. Muse Spark 1.3 scores higher in 3 categories and Phi-4 Mini in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 22.4.
  • The biggest single-benchmark swing is SciCode: 59.7% for Muse Spark 1.3 and 10.8% for Phi-4 Mini.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 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 128K.
  • Phi-4 Mini has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.3 and Phi-4 Mini specifications
Muse Spark 1.3Phi-4 Mini
ProviderMetaMicrosoft
Noometry Index54.830.9
Released2026-09-022024-12-11
WeightsProprietaryOpen
Context window1.05M128K
Max output131K4K
Input $ / M tokens$1.25$0.075
Output $ / M tokens$4.25$0.30
Results tracked373

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Category by category

Coding Muse Spark 1.3 leads

Muse Spark 1.3: 56.6 (#21), Phi-4 Mini: 28.1 (#317)

Coding benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
SciCode59.7%10.8%
CursorBench41.6%—
LMArena WebDev1657—
LMArena Coding1514—

Agentic & Tool Use Not comparable

Muse Spark 1.3: 38.6 (#30), Phi-4 Mini: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
APEX-Agents57.8%—
GDP.pdf27.6%—

Reasoning Muse Spark 1.3 leads

Muse Spark 1.3: 54.0 (#27), Phi-4 Mini: 22.4 (#195)

Reasoning benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
CritPt26%0%
NYT Connections (extended)85.1%—
Chess Puzzles38%—
LMArena Hard Prompts1503—
Mystery Game Puzzles25%—
DTBench96.5%—
LMCA53.9%—
Bench to the Future 30.14—
Epoch Capabilities Index156.75—

Math Not comparable

Muse Spark 1.3: 73.1 (#21), Phi-4 Mini: —

Math benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
FrontierMath (Tiers 1-3)74.4%—
FrontierMath Tier 446.3%—
OTIS Mock AIME 2024-202599.2%—
ProofBench58%—
LMArena Math1494—

Knowledge Muse Spark 1.3 leads

Muse Spark 1.3: 42.6 (#95), Phi-4 Mini: 25.3 (#262)

Knowledge benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
Vectara Hallucination Rate—23.5%
LMArena Expert1516—

Multimodal Not comparable

Muse Spark 1.3: 43.7 (#22), Phi-4 Mini: —

Multimodal benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
LMArena Vision1309—
LMArena Document1471—

Multilingual Not comparable

Muse Spark 1.3: 57.4 (#8), Phi-4 Mini: —

Multilingual benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
LMArena Non-English1481—
LMArena Chinese1529—
LMArena French1524—
LMArena German1515—
LMArena Japanese1474—
LMArena Korean1501—
LMArena Russian1490—
LMArena Spanish1490—

Instruction Following Not comparable

Muse Spark 1.3: 77.5 (#22), Phi-4 Mini: —

Instruction Following benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
LMArena Instruction Following1477—

Long Context Not comparable

Muse Spark 1.3: 45.6 (#32), Phi-4 Mini: —

Long Context benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
LMArena Longer Query1488—

Writing & Preference Not comparable

Muse Spark 1.3: 73.6 (#9), Phi-4 Mini: —

Writing & Preference benchmarks
BenchmarkMuse Spark 1.3Phi-4 Mini
LMArena Text1490—
LMArena Creative Writing1455—
EQ-Bench Creative Writing1906—
LMArena Multi-Turn1482—

Frequently asked questions

Is Muse Spark 1.3 better than Phi-4 Mini?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 30.9 on the Noometry Index. Phi-4 Mini costs 15× 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, Muse Spark 1.3 or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

Is Muse Spark 1.3 or Phi-4 Mini better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 28.1 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 128K.

How many benchmarks do Muse Spark 1.3 and Phi-4 Mini share?

2 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Phi-4 Mini has 3.

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