Model comparison

Gemini 2.5 Flash vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.4× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Last verified . 24 shared benchmarks.

Gemini 2.5 Flash Google

39.3

Rank #170 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 1 category and Muse Spark 1.1 in 9 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 18.1.
  • The biggest single-benchmark swing is LMCA: 27.5% for Gemini 2.5 Flash and 49.9% for Muse Spark 1.1.
  • Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.

Side by side

Gemini 2.5 Flash and Muse Spark 1.1 specifications
Gemini 2.5 FlashMuse Spark 1.1
ProviderGoogleMeta
Noometry Index39.349.9
Released2025-04-172026-04-08
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K131K
Input $ / M tokens$0.30$1.25
Output $ / M tokens$2.50$4.25
Results tracked5437

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Category by category

Coding Muse Spark 1.1 leads

Gemini 2.5 Flash: 35.8 (#220), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Coding14241498
DeepSWE—53.3%
SWE-bench Verified (bash only)28.7%—
Aider Polyglot55.1%—
LMArena WebDev—1542
SciCode—58.8%
WeirdML41.9%—
ALE-Bench661.88—

Agentic & Tool Use Too close to call

Gemini 2.5 Flash: 30.8 (#74), Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
Vending-Bench 2548.846,520
Terminal-Bench17.1%—
APEX-Agents—31.8%
Berkeley Function Calling Leaderboard56.2%—
TheAgentCompany41.1%—
τ²-bench Banking—40.5%
BALROG33.5%—
GBAEval—7.9%
GDP.pdf—15%

Reasoning Muse Spark 1.1 leads

Gemini 2.5 Flash: 18.1 (#286), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
CritPt1.1%15.1%
LMArena Hard Prompts14221486
DTBench76.5%94.4%
LMCA27.5%49.9%
Epoch Capabilities Index143.03154.21
ARC-AGI-22.5%—
SimpleBench41.2%—
Kagi LLM Benchmark56.8%—
NYT Connections (extended)—84.9%
ARC-AGI-133.3%—
EnigmaEval2.7%—
Surface Evolver Bench—52.5%
ForecastBench60.6—

Math Muse Spark 1.1 leads

Gemini 2.5 Flash: 39.9 (#98), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Math14151483
OTIS Mock AIME 2024-202573.1%—
ProofBench—39%
Omni-MATH38.5%—
FrontierMath (Feb 2025 set)4.8%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Muse Spark 1.1 leads

Gemini 2.5 Flash: 36.4 (#168), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Expert14261478
Humanity's Last Exam12.1%—
SimpleQA Verified—57.8%
MMLU-Pro63.9%—
Confabulations16.8%—
Vectara Hallucination Rate7.8%—
GPQA (HELM)39%—

Multimodal Too close to call

Gemini 2.5 Flash: 41.8 (#32), Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Vision12531293
GeoBench76%—
VPCT46.2%—
LMArena Document—1465
SpatialViz-Bench36.9%—

Multilingual Muse Spark 1.1 leads

Gemini 2.5 Flash: 52.3 (#88), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Non-English14091472
LMArena Chinese14501518
LMArena French14331494
LMArena German14181466
LMArena Japanese14051451
LMArena Korean13851458
LMArena Russian14151483
LMArena Spanish14211464

Instruction Following Too close to call

Gemini 2.5 Flash: 75.7 (#54), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Instruction Following14051457
IFEval89.8%—

Long Context Gemini 2.5 Flash leads

Gemini 2.5 Flash: 47.5 (#17), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Longer Query14191462
Fiction.LiveBench77.8%—

Writing & Preference Muse Spark 1.1 leads

Gemini 2.5 Flash: 53.8 (#157), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkGemini 2.5 FlashMuse Spark 1.1
LMArena Text14171479
LMArena Creative Writing14001437
EQ-Bench Creative Writing11371927
LMArena Multi-Turn14081485
Short-Story Creative Writing76.5%—
WildBench81.7%—
EQ-Bench 4—1260

Frequently asked questions

Is Gemini 2.5 Flash better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.4× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Flash or Muse Spark 1.1?

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is Gemini 2.5 Flash or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 35.8 in the Noometry coding category.

Which has the bigger context window?

Both accept 1.05M tokens.

How many benchmarks do Gemini 2.5 Flash and Muse Spark 1.1 share?

24 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Muse Spark 1.1 has 37.

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