Gemini 2.5 Pro vs Muse Spark 1.2
Updated October 21, 2026. 55 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 55 shared
Decision reading
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro.
Pick Gemini 2.5 Pro when what matters is MortgageTax (Vals AI) or MedCode (Vals AI), where it leads.
Model AGemini 2.5 ProGoogle37.0/1002 independent benchmarks$0.64 per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
- Shared results
- 55
- Gemini 2.5 Pro only
- 32
- Muse Spark 1.2 only
- 42
- Like-for-like categories
- 8 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.
Coding
Vibe Coding Index, four public coding benchmarks
Muse Spark 1.2
Muse Spark 1.2 scores 65.1 against 37.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.2
Muse Spark 1.2 leads, 43.2 against 1.6.
Same board, both measured
Knowledge
MMLU Pro
No call
Only Muse Spark 1.2 has a MMLU Pro result, 88.3%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1313 against 1167.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.2
Gemini 2.5 Pro $0.0063, Muse Spark 1.2 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Gemini 2.5 Pro $0.64, Muse Spark 1.2 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Pro 37.0 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
- Widest category
- Agentic work, 41.6 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against Muse Spark 1.2 79.1%, 78.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against Muse Spark 1.2 $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.
| Category | Gemini 2.5 Pro | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 0 | 9 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 5 | ||
| Web design | 0 | 6 | ||
| General | 2 | 20 | ||
| All shared boards | 4 | 51 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index09
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | Not measured | Only Gemini 2.5 Pro measured |
| LiveBench coding | Not measured | 78.2% | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1226 | 1534 | Muse Spark 1.2 |
| AA Coding Index | 33.3 | 72.2 | Muse Spark 1.2 |
| SWE-bench Verified (Vals AI) | 54.4% | 86.6% | Muse Spark 1.2 |
| Terminal-Bench 4 (Vals AI) | Not measured | 6.1% | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | 0.4% | 79.1% | Muse Spark 1.2 |
| Code migration (Vals AI) | Not measured | 29.9% | Only Muse Spark 1.2 measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Muse Spark 1.2 measured |
| IOI (Vals AI) | Not measured | 21.8% | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 69.7% | Only Muse Spark 1.2 measured |
| SkillsBench (Vals AI) | Not measured | 53.0% | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | Not measured | 69.5% | Only Muse Spark 1.2 measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | Not measured | Only Gemini 2.5 Pro measured |
| SciCode | 46.3% | 57.4% | Muse Spark 1.2 |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierSWE | Not measured | 12.0% | Only Muse Spark 1.2 measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | 60.3% | Muse Spark 1.2 |
| LMArena Text: coding | 1452 | 1505 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1459 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | Not measured | 1526 | Only Muse Spark 1.2 measured |
| LMArena WebDev: HTML | 1235 | 1543 | Muse Spark 1.2 |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 39.6 | Muse Spark 1.2 |
| Epoch Capabilities Index | 145.1 | 155.1 | Muse Spark 1.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | 43.2 | Muse Spark 1.2 |
| Design Arena: agents building web apps | Not measured | 1222 | Only Muse Spark 1.2 measured |
| Design Arena: agents building full-stack apps | Not measured | 1210 | Only Muse Spark 1.2 measured |
| Design Arena: agents building mobile apps | Not measured | 1182 | Only Muse Spark 1.2 measured |
| Design Arena: agents building Android apps | Not measured | 1228 | Only Muse Spark 1.2 measured |
| Design Arena: agents building games | Not measured | 1179 | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | Not measured | 1135 | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | Not measured | 1198 | Only Muse Spark 1.2 measured |
| LiveBench research | Not measured | 67.7% | Only Muse Spark 1.2 measured |
| LiveBench browser | Not measured | 36.0% | Only Muse Spark 1.2 measured |
| LiveBench long agentic | Not measured | 21.3% | Only Muse Spark 1.2 measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | Not measured | 60.6% | Only Muse Spark 1.2 measured |
| Tax Agent Bench (Vals AI) | Not measured | 32.8% | Only Muse Spark 1.2 measured |
| Legal Research Bench (Vals AI) | Not measured | 43.8% | Only Muse Spark 1.2 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.0% | Only Muse Spark 1.2 measured |
| BioMysteryBench (Vals AI) | Not measured | 64.8% | Only Muse Spark 1.2 measured |
| τ²-Bench Telecom | 54.1% | Not measured | Only Gemini 2.5 Pro measured |
| APEX-Agents | Not measured | 45.4% | Only Muse Spark 1.2 measured |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 90.0% | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | Not measured | 86.1% | Only Muse Spark 1.2 measured |
| GPQA Diamond (Artificial Analysis run) | 84.4% | 90.4% | Muse Spark 1.2 |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 45.5% | Muse Spark 1.2 |
| GPQA Diamond (Epoch AI run) | 85.3% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI | 41.0% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI-2 | 4.9% | Not measured | Only Gemini 2.5 Pro measured |
| SimpleBench | Not measured | 74.5% | Only Muse Spark 1.2 measured |
| Chess puzzles | Not measured | 27.0% | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts | 1455 | 1489 | Muse Spark 1.2 |
| LMArena Text: expert | 1452 | 1475 | Muse Spark 1.2 |
| LMArena Text: hard prompts in English | 1453 | 1487 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1274 | 1317 | Muse Spark 1.2 |
| LMArena Vision: homework | 1281 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only Gemini 2.5 Pro measured |
| OTIS Mock AIME | 84.7% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tiers 1 to 3 | 24.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 2.5 Pro measured |
| ProofBench | Not measured | 43.0% | Only Muse Spark 1.2 measured |
| LMArena Text: math | 1450 | 1484 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1454 | 1480 | Muse Spark 1.2 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.3% | Only Muse Spark 1.2 measured |
| LegalBench (Vals AI) | Not measured | 85.3% | Only Muse Spark 1.2 measured |
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | 70.9% | Muse Spark 1.2 |
| TaxEval (Vals AI) | Not measured | 80.4% | Only Muse Spark 1.2 measured |
| MortgageTax (Vals AI) | 68.9% | 65.4% | Gemini 2.5 Pro |
| MedCode (Vals AI) | 50.6% | 49.4% | Gemini 2.5 Pro |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only Gemini 2.5 Pro measured |
| SimpleQA Verified | Not measured | 60.3% | Only Muse Spark 1.2 measured |
| LMArena Text: science | 1480 | 1500 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1476 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1480 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1439 | 1484 | Muse Spark 1.2 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | 1313 | Muse Spark 1.2 |
| Design Arena: UI components | 1139 | 1300 | Muse Spark 1.2 |
| Design Arena: game dev | 1112 | 1302 | Muse Spark 1.2 |
| Design Arena: data viz | 1222 | 1334 | Muse Spark 1.2 |
| Design Arena: 3D | 1080 | 1301 | Muse Spark 1.2 |
| Design Arena: all code categories | 1152 | 1313 | Muse Spark 1.2 |
| Design Arena: SVG | Not measured | 1285 | Only Muse Spark 1.2 measured |
| Design Arena: ASCII art | Not measured | 1284 | Only Muse Spark 1.2 measured |
| LiveBench design | Not measured | 67.1% | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.5% | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | 41.9% | 47.7% | Muse Spark 1.2 |
| MedScribe (Vals AI) | 73.5% | 90.1% | Muse Spark 1.2 |
| Vals Multimodal Index | Not measured | 69.8% | Only Muse Spark 1.2 measured |
| IFBench | 48.7% | Not measured | Only Gemini 2.5 Pro measured |
| Long context reasoning (AA-LCR) | 69.0% | 79.0% | Muse Spark 1.2 |
| DTBench | 82.4% | 94.7% | Muse Spark 1.2 |
| LMCA | 34.8% | 48.4% | Muse Spark 1.2 |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1437 | 1462 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1454 | 1436 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | 1304 | Muse Spark 1.2 |
| LMArena Text: English | 1458 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1452 | 1476 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1507 | 1509 | Muse Spark 1.2 |
| LMArena Text: German | 1487 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Japanese | 1461 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Korean | 1434 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1473 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1474 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1461 | 1483 | Muse Spark 1.2 |
| LMArena Text: Polish | 1479 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: multi-turn | 1453 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1449 | 1473 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1454 | 1453 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1443 | Muse Spark 1.2 |
| LMArena Vision: English | 1261 | 1291 | Muse Spark 1.2 |
| LMArena Vision: Chinese | 1300 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | 1270 | 1313 | Muse Spark 1.2 |
| LMArena Vision: humor | 1262 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | 1304 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1283 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | 1265 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | Muse Spark 1.2 | Leader |
|---|---|---|---|
| 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 1.2$0.0034Fits in one request
Muse Spark 1.2 costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Pro$0.092Fits in one request
Muse Spark 1.2$0.075Fits in one request
Muse Spark 1.2 costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Pro$0.350Fits in one request
Muse Spark 1.2$0.292Fits in one request
Muse Spark 1.2 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.
| Specification | Google Gemini 2.5 Pro | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | August 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $1.25 |
| Output $/Mtok | $10.00 | $4.25 |
| Coding index | 37.0 | 65.1 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.64 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than Muse Spark 1.2 for coding?
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro when what matters is MortgageTax (Vals AI) or MedCode (Vals AI), where it leads.
Which is cheaper, Gemini 2.5 Pro or Muse Spark 1.2?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Muse Spark 1.2 $0.64.
Which has the bigger context window, Gemini 2.5 Pro or Muse Spark 1.2?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 2.5 Pro vs Muse Spark 1.2 comparison based on?
55 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 1.2's on 2. Where only one model has a result, the page says so instead of naming a winner.