Gemini 3.5 Flash vs Muse Spark 1.2
Updated October 21, 2026. 83 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash.
Pick Gemini 3.5 Flash when what matters is Terminal-Bench 2.1 (Vals AI) or WeirdML, where it leads.
- Shared results
- 83
- Gemini 3.5 Flash only
- 27
- Muse Spark 1.2 only
- 14
- 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 42.8.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 33.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.2 has a AA Agentic Index result, 43.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 89.5% against 88.3%.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1313 against 1268.
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 3.5 Flash $0.0060, 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 3.5 Flash $1.21, Muse Spark 1.2 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash 42.8 from 1 benchmark, Muse Spark 1.2 65.1 from 2 benchmarks.
- Widest category
- Math, 6.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.5 Flash 48.7% against Muse Spark 1.2 79.1%, 30.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash $9.00 against Muse Spark 1.2 $4.25 per million output tokens, 2.1x 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 3.5 Flash | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 2 | 11 | 1 tie | |
| Intelligence | 0 | 2 | ||
| Agentic work | 3 | 9 | ||
| Reasoning | 6 | 3 | ||
| Math | 2 | 1 | ||
| Knowledge | 4 | 7 | ||
| Web design | 0 | 8 | ||
| General | 11 | 12 | 1 tie | |
| All shared boards | 28 | 53 | 2 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index211
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 78.2% | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1499 | 1534 | Muse Spark 1.2 |
| AA Coding Index | Not measured | 72.2 | Only Muse Spark 1.2 measured |
| LiveCodeBench (Vals AI) | 87.6% | Not measured | Only Gemini 3.5 Flash measured |
| SWE-bench Verified (Vals AI) | 78.8% | 86.6% | Muse Spark 1.2 |
| Terminal-Bench 4 (Vals AI) | 6.1% | 6.1% | Tie |
| Vibe Code Bench (Vals AI) | 48.7% | 79.1% | Muse Spark 1.2 |
| Code migration (Vals AI) | 26.8% | 29.9% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Muse Spark 1.2 |
| IOI (Vals AI) | Not measured | 21.8% | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | 74.2% | 69.7% | Gemini 3.5 Flash |
| SkillsBench (Vals AI) | 52.7% | 53.0% | Muse Spark 1.2 |
| CyberBench (Vals AI) | Not measured | 69.5% | Only Muse Spark 1.2 measured |
| SciCode | 53.9% | 57.4% | Muse Spark 1.2 |
| Terminal-Bench Hard (Artificial Analysis run) | 46.2% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierSWE | Not measured | 12.0% | Only Muse Spark 1.2 measured |
| WeirdML | 62.6% | 60.3% | Gemini 3.5 Flash |
| ALE-Bench | 911.0 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: coding | 1493 | 1505 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1494 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | 1495 | 1526 | Muse Spark 1.2 |
| LMArena WebDev: HTML | 1522 | 1543 | Muse Spark 1.2 |
| LMArena WebDev: from an image | 1504 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.6 | 39.6 | Muse Spark 1.2 |
| Epoch Capabilities Index | 154.9 | 155.1 | Muse Spark 1.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index39
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 43.2 | Only Muse Spark 1.2 measured |
| Design Arena: agents building web apps | 1202 | 1222 | Muse Spark 1.2 |
| Design Arena: agents building full-stack apps | 1197 | 1210 | Muse Spark 1.2 |
| Design Arena: agents building mobile apps | 1175 | 1182 | Muse Spark 1.2 |
| Design Arena: agents building Android apps | 1190 | 1228 | Muse Spark 1.2 |
| Design Arena: agents building Godot games | 1098 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building games | 1180 | 1179 | Gemini 3.5 Flash |
| Design Arena: HTML slides | 1142 | 1135 | Gemini 3.5 Flash |
| Design Arena: PowerPoint slides | 1178 | 1198 | 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) | Not measured | 0.0% | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 57.9% | 60.6% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 21.6% | 32.8% | Muse Spark 1.2 |
| Legal Research Bench (Vals AI) | 30.8% | 43.8% | Muse Spark 1.2 |
| Excel Modeling Benchmark (Vals AI) | 63.5% | 57.0% | Gemini 3.5 Flash |
| BioMysteryBench (Vals AI) | Not measured | 64.8% | Only Muse Spark 1.2 measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Gemini 3.5 Flash measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.5 Flash measured |
| APEX-Agents | 27.5% | 45.4% | Muse Spark 1.2 |
| Vending-Bench 2 | $5,396 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | Not measured | Only Gemini 3.5 Flash measured |
| LiveBench reasoning | Not measured | 90.0% | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | 88.3% | 86.1% | Gemini 3.5 Flash |
| GPQA Diamond (Artificial Analysis run) | 92.2% | 90.4% | Gemini 3.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 45.5% | Muse Spark 1.2 |
| GPQA Diamond (Epoch AI run) | 92.8% | Not measured | Only Gemini 3.5 Flash measured |
| ARC-AGI | 92.5% | Not measured | Only Gemini 3.5 Flash measured |
| ARC-AGI-2 | 72.1% | Not measured | Only Gemini 3.5 Flash measured |
| SimpleBench | 76.7% | 74.5% | Gemini 3.5 Flash |
| Chess puzzles | 45.0% | 27.0% | Gemini 3.5 Flash |
| Mystery game puzzles | 32.0% | Not measured | Only Gemini 3.5 Flash measured |
| EBR-bench | 4.8% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: hard prompts | 1488 | 1489 | Muse Spark 1.2 |
| LMArena Text: expert | 1495 | 1475 | Gemini 3.5 Flash |
| LMArena Text: hard prompts in English | 1483 | 1487 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1323 | 1317 | Gemini 3.5 Flash |
| LMArena Vision: homework | 1330 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierMath, tiers 1 to 3 | 62.8% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.5 Flash measured |
| ProofBench | 31.0% | 43.0% | Muse Spark 1.2 |
| LMArena Text: math | 1504 | 1484 | Gemini 3.5 Flash |
| LMArena Text: mathematical work | 1495 | 1480 | Gemini 3.5 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index47
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| MMLU Pro | 89.5% | 88.3% | Gemini 3.5 Flash |
| LegalBench (Vals AI) | 83.6% | 85.3% | Muse Spark 1.2 |
| CorpFin (Vals AI) | 64.7% | 70.9% | Muse Spark 1.2 |
| TaxEval (Vals AI) | 74.4% | 80.4% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 68.1% | 65.4% | Gemini 3.5 Flash |
| MedCode (Vals AI) | 55.8% | 49.4% | Gemini 3.5 Flash |
| SimpleQA Verified | 66.2% | 60.3% | Gemini 3.5 Flash |
| LMArena Text: science | 1495 | 1500 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1483 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1488 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1467 | 1484 | Muse Spark 1.2 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1313 | Muse Spark 1.2 |
| Design Arena: UI components | 1272 | 1300 | Muse Spark 1.2 |
| Design Arena: game dev | 1263 | 1302 | Muse Spark 1.2 |
| Design Arena: data viz | 1236 | 1334 | Muse Spark 1.2 |
| Design Arena: 3D | 1244 | 1301 | Muse Spark 1.2 |
| Design Arena: all code categories | 1266 | 1313 | Muse Spark 1.2 |
| Design Arena: SVG | 1254 | 1285 | Muse Spark 1.2 |
| Design Arena: ASCII art | 1253 | 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 index1112
| Benchmark | Gemini 3.5 Flash | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | 59.5% | 68.5% | Muse Spark 1.2 |
| SAGE (Vals AI) | 49.9% | 47.7% | Gemini 3.5 Flash |
| MedScribe (Vals AI) | 76.6% | 90.1% | Muse Spark 1.2 |
| Vals Multimodal Index | 62.9% | 69.8% | Muse Spark 1.2 |
| IFBench | 76.3% | Not measured | Only Gemini 3.5 Flash measured |
| Long context reasoning (AA-LCR) | 74.3% | 79.0% | Muse Spark 1.2 |
| DTBench | 94.7% | 94.7% | Tie |
| LMCA | 47.1% | 48.4% | Muse Spark 1.2 |
| Surface Evolver Bench | 58.1% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text | 1482 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1467 | 1462 | Gemini 3.5 Flash |
| LMArena Text: creative writing | 1470 | 1436 | Gemini 3.5 Flash |
| LMArena Vision | 1308 | 1304 | Gemini 3.5 Flash |
| LMArena Text: English | 1481 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1475 | 1476 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1527 | 1509 | Gemini 3.5 Flash |
| LMArena Text: German | 1494 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Japanese | 1486 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Korean | 1448 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1490 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1480 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1493 | 1483 | Gemini 3.5 Flash |
| LMArena Text: Polish | 1516 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: multi-turn | 1481 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1483 | 1473 | Gemini 3.5 Flash |
| LMArena Text: writing and language | 1478 | 1453 | Gemini 3.5 Flash |
| LMArena Text: entertainment and media | 1459 | 1443 | Gemini 3.5 Flash |
| LMArena Vision: English | 1305 | 1291 | Gemini 3.5 Flash |
| LMArena Vision: Chinese | 1377 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: reading text | 1317 | 1313 | Gemini 3.5 Flash |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Document | 1463 | Not measured | Only Gemini 3.5 Flash 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
| Benchmark | Gemini 3.5 Flash | 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 3.5 Flash | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | May 19, 2026 | August 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.50 | $1.25 |
| Output $/Mtok | $9.00 | $4.25 |
| Coding index | 42.8 | 65.1 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $1.21 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash 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 42.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash when what matters is Terminal-Bench 2.1 (Vals AI) or WeirdML, where it leads.
Which is cheaper, Gemini 3.5 Flash or Muse Spark 1.2?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Muse Spark 1.2 $0.64.
Which has the bigger context window, Gemini 3.5 Flash or Muse Spark 1.2?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.5 Flash vs Muse Spark 1.2 comparison based on?
83 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Muse Spark 1.2's on 2. Where only one model has a result, the page says so instead of naming a winner.