LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Gemini 2.5 Pro vs Muse Spark Open

Updated October 21, 2026. 10 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 ProGoogle
Coding
37.0
Overall
16.1
Output $/M
$10.00
0
Muse Spark OpenMeta
Coding
62.1
Overall
No data
Output $/M
$4.25
10
vs boards won of 10 shared

Decision reading

Pick Muse Spark Open for coding: it scores 62.1 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro.

Gemini 2.5 Pro is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
10
Gemini 2.5 Pro only
77
Muse Spark Open only
16
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Pro 37.0 from 2 benchmarks, Muse Spark Open 62.1 from 2 benchmarks.
Widest category
Coding, 43.6 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against Muse Spark Open 76.2%, 75.8 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Muse Spark Open $4.25 per million output tokens, 2.4x 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 ProBarsMuse Spark OpenTies
Coding04
Intelligence01
Reasoning02
Web design02
General01
All shared boards010
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDev12261528Muse Spark Open
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)0.4%76.2%Muse Spark Open
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%58.4%Muse Spark Open
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena Text: coding1452Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: software and IT1459Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTML12351495Muse Spark Open
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
AA Intelligence Index16.1Not measuredOnly Gemini 2.5 Pro measured
Epoch Capabilities Index145.1155.1Muse Spark Open
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
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
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)84.4%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)22.5%43.9%Muse Spark Open
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts1455Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: expert1452Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts in English1453Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 10 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math1450Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: mathematical work1454Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science1480Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: medicine and healthcare1476Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: legal and government1480Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: business and finance1439Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
Design Arena: websites11671311Muse Spark Open
Design Arena: UI components1139Not measuredOnly Gemini 2.5 Pro measured
Design Arena: game dev11121290Muse Spark Open
Design Arena: data viz1222Not measuredOnly Gemini 2.5 Pro measured
Design Arena: 3D1080Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories1152Not measuredOnly Gemini 2.5 Pro measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse Spark OpenLeader
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%78.3%Muse Spark Open
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text1458Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: instruction following1437Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: creative writing1454Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English1458Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: non-English1452Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Chinese1507Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: German1487Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Japanese1461Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Korean1434Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: French1473Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Spanish1474Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Russian1461Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Polish1479Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: multi-turn1453Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: longer queries1449Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: writing and language1454Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: entertainment and media1441Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: English1261Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: Chinese1300Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: reading text1270Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: humor1262Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing1265Not measuredOnly Gemini 2.5 Pro measured
LMArena Document1421Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and Muse Spark Open
BenchmarkGemini 2.5 ProMuse 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 Pro$0.0063Fits in one request
Muse Spark Open$0.0034Fits in one request

Muse Spark Open costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Muse Spark Open$0.075Fits in one request

Muse Spark Open costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Muse Spark Open$0.292Fits in one request

Muse Spark Open 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 Pro and Muse Spark Open
SpecificationGoogle Gemini 2.5 ProMeta Muse Spark Open
MakerGoogleMeta
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025October 15, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index37.062.1
Independent measurements behind it22
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Muse Spark Open for coding?

Pick Muse Spark Open for coding: it scores 62.1 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro. Gemini 2.5 Pro is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Gemini 2.5 Pro or Muse Spark Open?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for Gemini 2.5 Pro only.

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

Neither: both take 1.05M tokens.

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

10 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 2 independent benchmarks and Muse Spark Open's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-2-5-pro-vs-meta-muse-spark-open" title="Gemini 2.5 Pro vs Muse Spark Open, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-2-5-pro-vs-meta-muse-spark-open">LLMBenchmark.ai, Gemini 2.5 Pro vs Muse Spark Open</a></p>