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Gemini 2.5 Flash Lite vs Muse Spark Open

Gemini 2.5 Flash Lite costs 10.6x less per output token than Muse Spark Open ($0.40 vs $4.25 per million). Updated October 21, 2026; 4 benchmarks have a result for both.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$0.40
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
4
vs boards won of 4 shared

Gemini 2.5 Flash Lite or Muse Spark Open: which to pick

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for output tokens 10.6x cheaper ($0.40 vs $4.25 per million).

Shared results
4
Gemini 2.5 Flash Lite only
26
Muse Spark Open only
24
Like-for-like categories
3 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 2.5 Flash Lite not benchmarked, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Reasoning, 31.8 points apart on average over 2 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Flash Lite 6.8% against Muse Spark Open 43.9%, 37.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash Lite $0.40 against Muse Spark Open $4.25 per million output tokens, 10.6x apart.
Context window
Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 2.5 Flash LiteBarsMuse Spark OpenTies
Intelligence01
Reasoning02
General01
All shared boards04
CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards, none shared
Coding benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDevNot measured1528Only Muse Spark Open measured
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)Not measured76.2%Only Muse Spark Open measured
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
LiveCodeBench (Artificial Analysis run)59.3%Not measuredOnly Gemini 2.5 Flash Lite measured
SciCodeNot measured58.4%Only Muse Spark Open measured
Terminal-Bench Hard (Artificial Analysis run)4.5%Not measuredOnly Gemini 2.5 Flash Lite measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTMLNot measured1495Only Muse Spark Open measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
AA Intelligence Index10.4Not measuredOnly Gemini 2.5 Flash Lite measured
Epoch Capabilities Index133.8155.1Muse Spark Open
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
LiveBench researchNot measured80.3%Only Muse Spark Open measured
LiveBench browserNot measured36.0%Only Muse Spark Open measured
LiveBench long agenticNot measured18.9%Only Muse Spark Open measured
Finance Agent (Vals AI)Not measured61.3%Only Muse Spark Open measured
Tax Agent Bench (Vals AI)Not measured26.3%Only Muse Spark Open measured
Legal Research Bench (Vals AI)Not measured38.5%Only Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured25.0%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
τ²-Bench Telecom19.0%Not measuredOnly Gemini 2.5 Flash Lite measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Berkeley Function Calling Leaderboard (BFCL)36.9%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)6.8%43.9%Muse Spark Open
Kagi LLM Benchmark40.5%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.3Not measuredOnly Gemini 2.5 Flash Lite measured
AIME 2025 (Artificial Analysis run)53.3%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
Design Arena: websitesNot measured1317Only Muse Spark Open measured
Design Arena: game devNot measured1294Only Muse Spark Open measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 6 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%Not measuredOnly Gemini 2.5 Flash Lite measured
Long context reasoning (AA-LCR)55.7%78.3%Muse Spark Open
DTBench62.8%Not measuredOnly Gemini 2.5 Flash Lite measured
LMCA18.1%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 38 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash Lite and Muse Spark Open
BenchmarkGemini 2.5 Flash LiteMuse Spark OpenLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 2.5 Flash Lite$0.0003Fits in one request
Muse Spark Open$0.0034Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
Muse Spark Open$0.075Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
Muse Spark Open$0.292Fits in one request

Gemini 2.5 Flash Lite costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 2.5 Flash Lite and Muse Spark Open
SpecificationGoogle Gemini 2.5 Flash LiteMeta Muse Spark Open
MakerGoogleMeta
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025October 15, 2026
Context window1.05M1.05M
Input $/Mtok$0.10$1.25
Output $/Mtok$0.40$4.25
Coding indexNot benchmarked47.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than Muse Spark Open for coding?

Only Muse Spark Open has a coding score, 47.4 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 10.6x cheaper ($0.40 vs $4.25 per million).

Which is cheaper, Gemini 2.5 Flash Lite or Muse Spark Open?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Flash Lite or Muse Spark Open?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Flash Lite vs Muse Spark Open comparison based on?

4 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and Muse Spark Open's on 4. Where only one model has a result, the page says so instead of naming a winner.

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