Gemini 3.1 Pro Preview vs Muse Spark 1.2
Muse Spark 1.2 leads Gemini 3.1 Pro Preview on coding, 55.7 to 32.3 on the Vibe Coding Index, and Muse Spark 1.2 costs 2.8x less per output token ($4.25 vs $12.00 per million). Updated October 22, 2026; 86 benchmarks have a result for both.
Gemini 3.1 Pro Preview or Muse Spark 1.2: which to pick
Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview.
Pick Gemini 3.1 Pro Preview for work measured by IOI (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
- Shared results
- 86
- Gemini 3.1 Pro Preview only
- 51
- Muse Spark 1.2 only
- 11
- Like-for-like categories
- 8 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.
Coding
Vibe Coding Index, six public coding benchmarks
Muse Spark 1.2
Muse Spark 1.2 scores 55.7 against 32.3.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 29.7.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.2
Muse Spark 1.2 leads, 43.2 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Pro Preview has a GPQA Diamond result, 95.5%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 88.3%.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1312 against 1234.
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 3.1 Pro Preview $0.0080, Muse Spark 1.2 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Muse Spark 1.2
Gemini 3.1 Pro Preview $0.99, Muse Spark 1.2 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
- Widest category
- Agentic work, 13.8 points apart on average over 15 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.1 Pro Preview 32.0% against Muse Spark 1.2 79.1%, 47.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against Muse Spark 1.2 $4.25 per million output tokens, 2.8x 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 3.1 Pro Preview | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 4 | 11 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 13 | 1 tie | |
| Reasoning | 6 | 3 | ||
| Math | 1 | 2 | ||
| Knowledge | 5 | 6 | ||
| Web design | 1 | 7 | ||
| General | 12 | 12 | ||
| All shared boards | 30 | 55 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index411
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 78.2% | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1447 | 1534 | Muse Spark 1.2 |
| AA Coding Index | 68.8 | 72.2 | Muse Spark 1.2 |
| LiveCodeBench (Vals AI) | 88.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Verified (Vals AI) | 78.8% | 86.6% | Muse Spark 1.2 |
| Terminal-Bench 4 (Vals AI) | 2.5% | 6.1% | Muse Spark 1.2 |
| Vibe Code Bench (Vals AI) | 32.0% | 79.1% | Muse Spark 1.2 |
| Code migration (Vals AI) | 17.3% | 29.9% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Muse Spark 1.2 |
| IOI (Vals AI) | 51.8% | 21.8% | Gemini 3.1 Pro Preview |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | 69.7% | Gemini 3.1 Pro Preview |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview 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 |
| SciCode | 58.7% | 57.4% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench | 80.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierSWE | Not measured | 12.0% | Only Muse Spark 1.2 measured |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | 60.3% | Gemini 3.1 Pro Preview |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: coding | 1484 | 1505 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1487 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | 1438 | 1526 | Muse Spark 1.2 |
| LMArena WebDev: HTML | 1490 | 1543 | Muse Spark 1.2 |
| LMArena WebDev: from an image | 1481 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 39.6 | Muse Spark 1.2 |
| Epoch Capabilities Index | Not measured | 155.1 | Only Muse Spark 1.2 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index113
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | 43.2 | Muse Spark 1.2 |
| Design Arena: agents building web apps | 1125 | 1221 | Muse Spark 1.2 |
| Design Arena: agents building full-stack apps | 1068 | 1210 | Muse Spark 1.2 |
| Design Arena: agents building mobile apps | 1093 | 1181 | Muse Spark 1.2 |
| Design Arena: agents building Android apps | 1049 | 1222 | Muse Spark 1.2 |
| Design Arena: agents building Godot games | 1236 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | 1113 | 1178 | Muse Spark 1.2 |
| Design Arena: HTML slides | 1092 | 1074 | Gemini 3.1 Pro Preview |
| Design Arena: PowerPoint slides | 1040 | 1170 | Muse Spark 1.2 |
| 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) | 0.0% | 0.0% | Tie |
| Finance Agent (Vals AI) | 43.0% | 60.6% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 9.3% | 32.8% | Muse Spark 1.2 |
| Legal Research Bench (Vals AI) | 20.7% | 43.8% | Muse Spark 1.2 |
| Excel Modeling Benchmark (Vals AI) | 52.6% | 57.0% | Muse Spark 1.2 |
| BioMysteryBench (Vals AI) | 60.0% | 64.8% | Muse Spark 1.2 |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | 35.1% | 45.4% | Muse Spark 1.2 |
| METR time horizons | 77.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BALROG | 57.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 47.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | 22.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | $911 | Not measured | Only Gemini 3.1 Pro Preview measured |
| MCP Atlas | 78.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveBench reasoning | Not measured | 90.0% | Only Muse Spark 1.2 measured |
| MysteryMechanism (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 88.2% | 86.1% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 90.4% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 45.5% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI | 98.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | 79.6% | 74.5% | Gemini 3.1 Pro Preview |
| Chess puzzles | 51.0% | 27.0% | Gemini 3.1 Pro Preview |
| Mystery game puzzles | 34.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1485 | 1489 | Muse Spark 1.2 |
| LMArena Text: expert | 1483 | 1475 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1487 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1311 | 1317 | Muse Spark 1.2 |
| LMArena Vision: homework | 1316 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AIME | 98.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tiers 1 to 3 | 59.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProofBench | 26.0% | 43.0% | Muse Spark 1.2 |
| LMArena Text: math | 1486 | 1484 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1480 | Muse Spark 1.2 |
| MathArena | 30.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index56
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | 88.3% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 87.4% | 85.3% | Gemini 3.1 Pro Preview |
| CaseLaw (Vals AI) | 64.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | 64.5% | 70.9% | Muse Spark 1.2 |
| TaxEval (Vals AI) | 72.9% | 80.4% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 69.4% | 65.4% | Gemini 3.1 Pro Preview |
| MedQA (Vals AI) | 96.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | 59.1% | 49.4% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 73.5% | 60.3% | Gemini 3.1 Pro Preview |
| LMArena Text: science | 1497 | 1500 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1486 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1487 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1459 | 1484 | Muse Spark 1.2 |
| FACTS Benchmark Suite | 67.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | 1312 | Muse Spark 1.2 |
| Design Arena: UI components | 1224 | 1299 | Muse Spark 1.2 |
| Design Arena: game dev | 1202 | 1300 | Muse Spark 1.2 |
| Design Arena: data viz | 1209 | 1334 | Muse Spark 1.2 |
| Design Arena: 3D | 1234 | 1300 | Muse Spark 1.2 |
| Design Arena: all code categories | 1230 | 1312 | Muse Spark 1.2 |
| Design Arena: SVG | 1284 | 1283 | Gemini 3.1 Pro Preview |
| Design Arena: ASCII art | 1270 | 1284 | Muse Spark 1.2 |
| LiveBench design | Not measured | 67.1% | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1212
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | 53.8% | 68.5% | Muse Spark 1.2 |
| SAGE (Vals AI) | 48.7% | 47.7% | Gemini 3.1 Pro Preview |
| MedScribe (Vals AI) | 76.1% | 90.1% | Muse Spark 1.2 |
| Vals Multimodal Index | 56.1% | 69.8% | Muse Spark 1.2 |
| IFBench | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Long context reasoning (AA-LCR) | 82.0% | 79.0% | Gemini 3.1 Pro Preview |
| DTBench | 97.1% | 94.7% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 48.4% | Gemini 3.1 Pro Preview |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | 26.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | 16.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1480 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1466 | 1462 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1436 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1304 | Muse Spark 1.2 |
| LMArena Text: English | 1478 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1476 | 1476 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1509 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Japanese | 1491 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Korean | 1455 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1487 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1481 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1497 | 1483 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: multi-turn | 1487 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1482 | 1473 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1453 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1443 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1291 | Muse Spark 1.2 |
| LMArena Vision: Chinese | 1364 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | 1304 | 1313 | Muse Spark 1.2 |
| LMArena Vision: humor | 1322 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | 1345 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | 1330 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | 1324 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | 1444 | Not measured | Only Gemini 3.1 Pro Preview measured |
| MultiChallenge | 71.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| EQ-Bench 4 | 1142 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | 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
Muse Spark 1.2 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.2 costs less
Agent loop
200K input + 10K output tokens
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 3.1 Pro Preview | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | February 19, 2026 | August 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $1.25 |
| Output $/Mtok | $12.00 | $4.25 |
| Coding index | 32.3 | 55.7 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | $0.99 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than Muse Spark 1.2 for coding?
Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview for work measured by IOI (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.
Which is cheaper, Gemini 3.1 Pro Preview or Muse Spark 1.2?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and Muse Spark 1.2 $0.64.
Which has the bigger context window, Gemini 3.1 Pro Preview or Muse Spark 1.2?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.1 Pro Preview vs Muse Spark 1.2 comparison based on?
86 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and Muse Spark 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.