Gemini 3.5 Flash Lite vs Muse Spark 1.1
Updated October 21, 2026. 71 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 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.
Pick Gemini 3.5 Flash Lite when output tokens cost 1.7x less, or when a solved task costs $0.41 against $0.43.
- Shared results
- 71
- Gemini 3.5 Flash Lite only
- 12
- Muse Spark 1.1 only
- 25
- Like-for-like categories
- 7 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 1.1
Muse Spark 1.1 scores 48.9 against 33.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.1
Muse Spark 1.1 leads, 33.7 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.1
Muse Spark 1.1 leads, 25.8 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
Muse Spark 1.1
Muse Spark 1.1 leads, 91.2% against 83.8%.
Same board, both measured
Knowledge
MMLU Pro
Muse Spark 1.1
Muse Spark 1.1 leads, 88.7% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Muse Spark 1.1 has a Design Arena: websites result, 1270.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.0015, Muse Spark 1.1 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.41, Muse Spark 1.1 $0.43.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash Lite 33.6 from 1 benchmark, Muse Spark 1.1 48.9 from 1 benchmark.
- Widest category
- Coding, 15.3 points apart on average over 13 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.5 Flash Lite 37.2% against Muse Spark 1.1 72.2%, 35.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against Muse Spark 1.1 $4.25 per million output tokens, 1.7x 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 Lite | Bars | Muse Spark 1.1 | Ties |
|---|---|---|---|---|
| Coding | 0 | 12 | 1 tie | |
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 1 | 9 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 8 | ||
| General | 2 | 27 | ||
| All shared boards | 4 | 66 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| LMArena WebDev | 1435 | 1542 | Muse Spark 1.1 |
| AA Coding Index | 49.3 | 71.3 | Muse Spark 1.1 |
| LiveCodeBench (Vals AI) | 79.0% | 85.9% | Muse Spark 1.1 |
| SWE-bench Verified (Vals AI) | 75.0% | 82.0% | Muse Spark 1.1 |
| Vibe Code Bench (Vals AI) | 37.2% | 72.2% | Muse Spark 1.1 |
| Code migration (Vals AI) | 6.2% | 31.1% | Muse Spark 1.1 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 69.3% | Muse Spark 1.1 |
| SkillsBench (Vals AI) | Not measured | 59.2% | Only Muse Spark 1.1 measured |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 41.3% | 58.8% | Muse Spark 1.1 |
| WeirdML | 39.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ALE-Bench | 765.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: coding | 1453 | 1498 | Muse Spark 1.1 |
| LMArena Text: software and IT | 1451 | 1498 | Muse Spark 1.1 |
| LMArena WebDev: React | 1408 | 1532 | Muse Spark 1.1 |
| LMArena WebDev: HTML | Not measured | 1540 | Only Muse Spark 1.1 measured |
| LMArena WebDev: from an image | 1448 | 1540 | Muse Spark 1.1 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 33.7 | Muse Spark 1.1 |
| Epoch Capabilities Index | 144.9 | 154.1 | Muse Spark 1.1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | 25.8 | Muse Spark 1.1 |
| Design Arena: agents building web apps | Not measured | 1207 | Only Muse Spark 1.1 measured |
| Design Arena: agents building full-stack apps | Not measured | 1199 | Only Muse Spark 1.1 measured |
| Design Arena: agents building mobile apps | Not measured | 1177 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Android apps | Not measured | 1184 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Godot games | Not measured | 1103 | Only Muse Spark 1.1 measured |
| Design Arena: agents building games | Not measured | 1183 | Only Muse Spark 1.1 measured |
| Design Arena: HTML slides | Not measured | 1194 | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | Not measured | 1156 | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | Not measured | 974 | Only Muse Spark 1.1 measured |
| Finance Agent (Vals AI) | 47.4% | 57.2% | Muse Spark 1.1 |
| Tax Agent Bench (Vals AI) | 7.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Legal Research Bench (Vals AI) | 13.9% | 38.0% | Muse Spark 1.1 |
| Excel Modeling Benchmark (Vals AI) | 43.2% | 56.4% | Muse Spark 1.1 |
| Time Horizon Index (Vals AI) | Not measured | 1.7% | Only Muse Spark 1.1 measured |
| APEX-Agents | 29.3% | 31.8% | Muse Spark 1.1 |
| Vending-Bench 2 | Not measured | $6,520 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | 91.2% | Muse Spark 1.1 |
| MMMU Pro (Vals AI) | 83.6% | 86.6% | Muse Spark 1.1 |
| GPQA Diamond (Artificial Analysis run) | 83.8% | 89.8% | Muse Spark 1.1 |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 46.2% | Muse Spark 1.1 |
| GPQA Diamond (Epoch AI run) | 83.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | 10.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Chess puzzles | 21.0% | 34.0% | Muse Spark 1.1 |
| Mystery game puzzles | 19.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts | 1441 | 1485 | Muse Spark 1.1 |
| LMArena Text: expert | 1434 | 1478 | Muse Spark 1.1 |
| LMArena Text: hard prompts in English | 1440 | 1480 | Muse Spark 1.1 |
| LMArena Vision: diagrams | 1284 | 1305 | Muse Spark 1.1 |
| LMArena Vision: homework | 1291 | 1287 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tiers 1 to 3 | 26.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProofBench | 13.0% | 39.0% | Muse Spark 1.1 |
| LMArena Text: math | 1434 | 1482 | Muse Spark 1.1 |
| LMArena Text: mathematical work | 1433 | 1487 | Muse Spark 1.1 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 88.7% | Muse Spark 1.1 |
| LegalBench (Vals AI) | 84.1% | 85.0% | Muse Spark 1.1 |
| CorpFin (Vals AI) | 60.7% | 71.3% | Muse Spark 1.1 |
| TaxEval (Vals AI) | 72.6% | 79.7% | Muse Spark 1.1 |
| MortgageTax (Vals AI) | 68.7% | 66.1% | Gemini 3.5 Flash Lite |
| MedCode (Vals AI) | 43.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SimpleQA Verified | Not measured | 57.8% | Only Muse Spark 1.1 measured |
| LMArena Text: science | 1451 | 1484 | Muse Spark 1.1 |
| LMArena Text: medicine and healthcare | 1438 | 1479 | Muse Spark 1.1 |
| LMArena Text: legal and government | 1431 | 1481 | Muse Spark 1.1 |
| LMArena Text: business and finance | 1423 | 1470 | Muse Spark 1.1 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1270 | Only Muse Spark 1.1 measured |
| Design Arena: UI components | Not measured | 1290 | Only Muse Spark 1.1 measured |
| Design Arena: game dev | Not measured | 1269 | Only Muse Spark 1.1 measured |
| Design Arena: data viz | Not measured | 1268 | Only Muse Spark 1.1 measured |
| Design Arena: 3D | Not measured | 1260 | Only Muse Spark 1.1 measured |
| Design Arena: all code categories | Not measured | 1276 | Only Muse Spark 1.1 measured |
| Design Arena: SVG | Not measured | 1234 | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | Not measured | 1270 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index227
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.8% | 61.3% | Muse Spark 1.1 |
| SAGE (Vals AI) | 47.3% | 45.6% | Gemini 3.5 Flash Lite |
| MedScribe (Vals AI) | 70.9% | 88.9% | Muse Spark 1.1 |
| Vals Multimodal Index | Not measured | 66.7% | Only Muse Spark 1.1 measured |
| Long context reasoning (AA-LCR) | 76.0% | 77.7% | Muse Spark 1.1 |
| DTBench | 83.5% | 94.4% | Muse Spark 1.1 |
| LMCA | 37.6% | 49.9% | Muse Spark 1.1 |
| Surface Evolver Bench | Not measured | 52.5% | Only Muse Spark 1.1 measured |
| LMArena Text | 1435 | 1478 | Muse Spark 1.1 |
| LMArena Text: instruction following | 1419 | 1457 | Muse Spark 1.1 |
| LMArena Text: creative writing | 1421 | 1435 | Muse Spark 1.1 |
| LMArena Vision | 1269 | 1293 | Muse Spark 1.1 |
| LMArena Text: English | 1438 | 1478 | Muse Spark 1.1 |
| LMArena Text: non-English | 1427 | 1471 | Muse Spark 1.1 |
| LMArena Text: Chinese | 1468 | 1515 | Muse Spark 1.1 |
| LMArena Text: German | 1454 | 1469 | Muse Spark 1.1 |
| LMArena Text: Japanese | 1426 | 1450 | Muse Spark 1.1 |
| LMArena Text: Korean | 1407 | 1459 | Muse Spark 1.1 |
| LMArena Text: French | 1451 | 1492 | Muse Spark 1.1 |
| LMArena Text: Spanish | 1441 | 1464 | Muse Spark 1.1 |
| LMArena Text: Russian | 1443 | 1482 | Muse Spark 1.1 |
| LMArena Text: Polish | 1437 | 1499 | Muse Spark 1.1 |
| LMArena Text: multi-turn | 1445 | 1484 | Muse Spark 1.1 |
| LMArena Text: longer queries | 1435 | 1462 | Muse Spark 1.1 |
| LMArena Text: writing and language | 1428 | 1448 | Muse Spark 1.1 |
| LMArena Text: entertainment and media | 1414 | 1438 | Muse Spark 1.1 |
| LMArena Vision: English | 1269 | 1292 | Muse Spark 1.1 |
| LMArena Vision: Chinese | 1311 | 1348 | Muse Spark 1.1 |
| LMArena Vision: reading text | 1280 | 1301 | Muse Spark 1.1 |
| LMArena Vision: humor | 1287 | 1288 | Muse Spark 1.1 |
| LMArena Vision: creative writing | 1260 | 1253 | Gemini 3.5 Flash Lite |
| LMArena Document | Not measured | 1465 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | Muse Spark 1.1 | 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 3.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 3.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 3.5 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.
| Specification | Google Gemini 3.5 Flash Lite | Meta Muse Spark 1.1 |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | July 21, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $1.25 |
| Output $/Mtok | $2.50 | $4.25 |
| Coding index | 33.6 | 48.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.41 | $0.43 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than Muse Spark 1.1 for coding?
Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when output tokens cost 1.7x less, or when a solved task costs $0.41 against $0.43.
Which is cheaper, Gemini 3.5 Flash Lite or Muse Spark 1.1?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and Muse Spark 1.1 $0.43.
Which has the bigger context window, Gemini 3.5 Flash Lite or Muse Spark 1.1?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.5 Flash Lite vs Muse Spark 1.1 comparison based on?
71 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.