Gemma 3 27B vs Muse Spark 1.3
Muse Spark 1.3 leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 48.1 to 4.9, and Gemma 3 27B costs 14.2x less per output token ($0.30 vs $4.25 per million). Updated October 22, 2026; 47 benchmarks have a result for both.
Gemma 3 27B or Muse Spark 1.3: which to pick
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding.
Pick Gemma 3 27B for output tokens 14.2x cheaper ($0.30 vs $4.25 per million).
- Shared results
- 47
- Gemma 3 27B only
- 19
- Muse Spark 1.3 only
- 45
- Like-for-like categories
- 7 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
No call
Only Muse Spark 1.3 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 4.9.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 0.1.
Same board, both measured
Web design
Design Arena: websites
No call
Only Muse Spark 1.3 has a Design Arena: websites result, 1356.
Directional only
Long documents
Listed context window
Muse Spark 1.3
Muse Spark 1.3 takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 27B
Gemma 3 27B $0.0002, Muse Spark 1.3 $0.0034 per turn.
List prices
At a glance
- Coding index
- Gemma 3 27B not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
- Widest category
- Agentic work, 55.4 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: Gemma 3 27B 22.5% against Muse Spark 1.3 99.2%, 76.7 points apart on a 0 to 100 scale.
- Output price
- Gemma 3 27B $0.30 against Muse Spark 1.3 $4.25 per million output tokens, 14.2x apart.
- Context window
- Gemma 3 27B takes 131K tokens, Muse Spark 1.3 1.05M.
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 | Gemma 3 27B | Bars | Muse Spark 1.3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 26 | ||
| All shared boards | 0 | 47 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Aider polyglot | 4.9% | Not measured | Only Gemma 3 27B measured |
| LiveBench coding | Not measured | 90.2% | Only Muse Spark 1.3 measured |
| LMArena WebDev | Not measured | 1659 | Only Muse Spark 1.3 measured |
| AA Coding Index | 10.1 | 75.8 | Muse Spark 1.3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 10.6% | Only Muse Spark 1.3 measured |
| Vibe Code Bench (Vals AI) | Not measured | 82.9% | Only Muse Spark 1.3 measured |
| Code migration (Vals AI) | Not measured | 27.6% | Only Muse Spark 1.3 measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Muse Spark 1.3 measured |
| IOI (Vals AI) | Not measured | 43.9% | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 72.3% | Only Muse Spark 1.3 measured |
| CyberBench (Vals AI) | Not measured | 69.4% | Only Muse Spark 1.3 measured |
| LiveCodeBench (Artificial Analysis run) | 13.7% | Not measured | Only Gemma 3 27B measured |
| SciCode | 23.3% | 59.7% | Muse Spark 1.3 |
| Terminal-Bench Hard (Artificial Analysis run) | 3.8% | Not measured | Only Gemma 3 27B measured |
| FrontierSWE | Not measured | 25.8% | Only Muse Spark 1.3 measured |
| ALE-Bench | Not measured | 1688.3 | Only Muse Spark 1.3 measured |
| LMArena Text: coding | 1322 | 1510 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1354 | 1511 | Muse Spark 1.3 |
| LMArena WebDev: React | Not measured | 1672 | Only Muse Spark 1.3 measured |
| LMArena WebDev: HTML | Not measured | 1653 | Only Muse Spark 1.3 measured |
| LMArena WebDev: from an image | Not measured | 1640 | Only Muse Spark 1.3 measured |
| SciCode | 0.0% | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 4.9 | 48.1 | Muse Spark 1.3 |
| Epoch Capabilities Index | 130.0 | 157.2 | Muse Spark 1.3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.1 | 55.5 | Muse Spark 1.3 |
| Design Arena: agents building web apps | Not measured | 1297 | Only Muse Spark 1.3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1295 | Only Muse Spark 1.3 measured |
| Design Arena: agents building mobile apps | Not measured | 1218 | Only Muse Spark 1.3 measured |
| Design Arena: agents building Godot games | Not measured | 1241 | Only Muse Spark 1.3 measured |
| Design Arena: PowerPoint slides | Not measured | 1219 | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | Not measured | 1062 | Only Muse Spark 1.3 measured |
| LiveBench research | Not measured | 68.6% | Only Muse Spark 1.3 measured |
| LiveBench browser | Not measured | 80.0% | Only Muse Spark 1.3 measured |
| LiveBench long agentic | Not measured | 40.4% | Only Muse Spark 1.3 measured |
| Finance Agent (Vals AI) | Not measured | 58.9% | Only Muse Spark 1.3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 36.0% | Only Muse Spark 1.3 measured |
| Legal Research Bench (Vals AI) | Not measured | 40.9% | Only Muse Spark 1.3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.7% | Only Muse Spark 1.3 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only Muse Spark 1.3 measured |
| τ²-Bench Telecom | 10.5% | Not measured | Only Gemma 3 27B measured |
| APEX-Agents | Not measured | 58.6% | Only Muse Spark 1.3 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 29.5% | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 89.7% | Only Muse Spark 1.3 measured |
| GPQA Diamond (Artificial Analysis run) | 42.8% | 94.1% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 4.4% | 48.7% | Muse Spark 1.3 |
| GPQA Diamond (Epoch AI run) | 47.7% | Not measured | Only Gemma 3 27B measured |
| Chess puzzles | Not measured | 37.0% | Only Muse Spark 1.3 measured |
| Mystery game puzzles | Not measured | 25.0% | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts | 1340 | 1503 | Muse Spark 1.3 |
| LMArena Text: expert | 1304 | 1519 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1353 | 1500 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1156 | 1330 | Muse Spark 1.3 |
| LMArena Vision: homework | 1160 | 1296 | Muse Spark 1.3 |
| Kagi LLM Benchmark | 35.1% | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Math Index | 20.7 | Not measured | Only Gemma 3 27B measured |
| AIME 2025 (Artificial Analysis run) | 20.7% | Not measured | Only Gemma 3 27B measured |
| OTIS Mock AIME | 22.5% | 99.2% | Muse Spark 1.3 |
| FrontierMath, tiers 1 to 3 | Not measured | 74.4% | Only Muse Spark 1.3 measured |
| FrontierMath, tier 4 | Not measured | 46.3% | Only Muse Spark 1.3 measured |
| ProofBench | Not measured | 58.0% | Only Muse Spark 1.3 measured |
| MATH level 5 | 74.0% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: math | 1312 | 1497 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1327 | 1491 | Muse Spark 1.3 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 66.9% | Not measured | Only Gemma 3 27B measured |
| GeoBench | 52.0% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: science | 1383 | 1507 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1391 | 1493 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1375 | 1499 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1360 | 1490 | Muse Spark 1.3 |
| FACTS Benchmark Suite | 29.1% | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1356 | Only Muse Spark 1.3 measured |
| Design Arena: UI components | Not measured | 1349 | Only Muse Spark 1.3 measured |
| Design Arena: game dev | Not measured | 1328 | Only Muse Spark 1.3 measured |
| Design Arena: data viz | Not measured | 1343 | Only Muse Spark 1.3 measured |
| Design Arena: 3D | Not measured | 1358 | Only Muse Spark 1.3 measured |
| Design Arena: all code categories | Not measured | 1352 | Only Muse Spark 1.3 measured |
| Design Arena: SVG | Not measured | 1301 | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | Not measured | 1278 | Only Muse Spark 1.3 measured |
| LiveBench design | Not measured | 74.8% | Only Muse Spark 1.3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
| Benchmark | Gemma 3 27B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 79.6% | Only Muse Spark 1.3 measured |
| IFBench | 31.8% | Not measured | Only Gemma 3 27B measured |
| Long context reasoning (AA-LCR) | 7.3% | 83.0% | Muse Spark 1.3 |
| DTBench | 52.5% | 96.5% | Muse Spark 1.3 |
| LMCA | 12.3% | 53.9% | Muse Spark 1.3 |
| Fiction.LiveBench | 33.3% | Not measured | Only Gemma 3 27B measured |
| Creative writing (Lech Mazur) | 79.9% | Not measured | Only Gemma 3 27B measured |
| LMArena Text | 1358 | 1490 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1321 | 1479 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1345 | 1462 | Muse Spark 1.3 |
| LMArena Vision | 1165 | 1308 | Muse Spark 1.3 |
| LMArena Text: English | 1377 | 1495 | Muse Spark 1.3 |
| LMArena Text: non-English | 1334 | 1481 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1346 | 1532 | Muse Spark 1.3 |
| LMArena Text: German | 1362 | 1513 | Muse Spark 1.3 |
| LMArena Text: Japanese | 1287 | 1470 | Muse Spark 1.3 |
| LMArena Text: Korean | 1308 | 1490 | Muse Spark 1.3 |
| LMArena Text: French | 1368 | 1511 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1349 | 1496 | Muse Spark 1.3 |
| LMArena Text: Russian | 1349 | 1491 | Muse Spark 1.3 |
| LMArena Text: Polish | 1345 | 1490 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1345 | 1487 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1333 | 1488 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1347 | 1470 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1320 | 1457 | Muse Spark 1.3 |
| LMArena Vision: English | 1188 | 1298 | Muse Spark 1.3 |
| LMArena Vision: Chinese | 1164 | 1384 | Muse Spark 1.3 |
| LMArena Vision: reading text | 1156 | 1319 | Muse Spark 1.3 |
| LMArena Vision: humor | 1166 | 1293 | Muse Spark 1.3 |
| LMArena Vision: captioning | 1151 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: recognizing things | 1196 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: creative writing | 1177 | 1296 | Muse Spark 1.3 |
| 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 | Gemma 3 27B | Muse Spark 1.3 | 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
Gemma 3 27B costs less
Repository review
50K input + 3K output tokens
Gemma 3 27B costs less
Agent loop
200K input + 10K output tokens
Gemma 3 27B 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 Gemma 3 27B | Meta Muse Spark 1.3 |
|---|---|---|
| Maker | Meta | |
| Weights | Open weights | No public weights listed |
| Released | March 12, 2025 | September 2, 2026 |
| Context window | 131K | 1.05M |
| Input $/Mtok | $0.08 | $1.25 |
| Output $/Mtok | $0.30 | $4.25 |
| Coding index | Not benchmarked | 57.4 |
| Independent measurements behind it | 0 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 3 27B better than Muse Spark 1.3 for coding?
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding. Pick Gemma 3 27B for output tokens 14.2x cheaper ($0.30 vs $4.25 per million).
Which is cheaper, Gemma 3 27B or Muse Spark 1.3?
Gemma 3 27B costs $0.08 per million input tokens and $0.30 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 3 27B or Muse Spark 1.3?
Muse Spark 1.3, with 1.05M tokens against 131K.
How many benchmarks is the Gemma 3 27B vs Muse Spark 1.3 comparison based on?
47 benchmarks have a result for both models as of October 22, 2026. Gemma 3 27B's coding index rests on 0 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.