Gemma 4 31B vs Muse Spark 1.3
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.
Decision reading
Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 38.3 for Gemma 4 31B.
Pick Gemma 4 31B when output tokens cost 10.6x less, or when the benchmark that matters is LMArena Vision: homework, where it leads.
- Shared results
- 55
- Gemma 4 31B only
- 13
- Muse Spark 1.3 only
- 37
- 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 1.3
Muse Spark 1.3 scores 79.7 against 38.3.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 14.7.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 4.2.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0004, Muse Spark 1.3 $0.0034 per turn.
List prices
At a glance
- Coding index
- Gemma 4 31B 38.3 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
- Widest category
- Agentic work, 44.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- LiveBench browser: Gemma 4 31B 4.0% against Muse Spark 1.3 80.0%, 76.0 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against Muse Spark 1.3 $4.25 per million output tokens, 10.6x apart.
- Context window
- Gemma 4 31B takes 262K 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 4 31B | Bars | Muse Spark 1.3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 9 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 1 | 7 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 1 | ||
| General | 0 | 24 | ||
| All shared boards | 1 | 54 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index09
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench coding | 49.0% | 90.2% | Muse Spark 1.3 |
| LMArena WebDev | 1367 | 1659 | Muse Spark 1.3 |
| AA Coding Index | 43.4 | 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 |
| SciCode | 45.5% | 59.7% | Muse Spark 1.3 |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | Not measured | Only Gemma 4 31B measured |
| FrontierSWE | Not measured | 25.8% | Only Muse Spark 1.3 measured |
| WeirdML | 52.3% | Not measured | Only Gemma 4 31B measured |
| ALE-Bench | 925.5 | 1688.3 | Muse Spark 1.3 |
| LMArena Text: coding | 1459 | 1510 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1463 | 1511 | Muse Spark 1.3 |
| LMArena WebDev: React | 1359 | 1672 | Muse Spark 1.3 |
| LMArena WebDev: HTML | 1380 | 1653 | Muse Spark 1.3 |
| LMArena WebDev: from an image | Not measured | 1640 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 48.1 | Muse Spark 1.3 |
| Epoch Capabilities Index | 143.0 | 157.2 | Muse Spark 1.3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | 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 | 1217 | 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 | 1244 | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | Not measured | 1048 | Only Muse Spark 1.3 measured |
| LiveBench research | 44.4% | 68.6% | Muse Spark 1.3 |
| LiveBench browser | 4.0% | 80.0% | Muse Spark 1.3 |
| LiveBench long agentic | 13.3% | 40.4% | Muse Spark 1.3 |
| 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 | 65.5% | Not measured | Only Gemma 4 31B measured |
| APEX-Agents | Not measured | 58.6% | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 68.3% | 89.7% | Muse Spark 1.3 |
| GPQA Diamond (Artificial Analysis run) | 85.7% | 94.1% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | 48.7% | Muse Spark 1.3 |
| GPQA Diamond (Epoch AI run) | 75.8% | Not measured | Only Gemma 4 31B 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 | 1448 | 1503 | Muse Spark 1.3 |
| LMArena Text: expert | 1464 | 1519 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1456 | 1500 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1283 | 1330 | Muse Spark 1.3 |
| LMArena Vision: homework | 1310 | 1296 | Gemma 4 31B |
| 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 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 73.3% | 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 |
| LMArena Text: math | 1463 | 1497 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1465 | 1491 | Muse Spark 1.3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 52.6% | Not measured | Only Gemma 4 31B measured |
| MortgageTax (Vals AI) | 61.4% | Not measured | Only Gemma 4 31B measured |
| SimpleQA Verified | 10.4% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: science | 1457 | 1507 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1451 | 1493 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1438 | 1499 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1430 | 1490 | Muse Spark 1.3 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1356 | Only Muse Spark 1.3 measured |
| Design Arena: UI components | Not measured | 1352 | Only Muse Spark 1.3 measured |
| Design Arena: game dev | Not measured | 1329 | Only Muse Spark 1.3 measured |
| Design Arena: data viz | Not measured | 1343 | Only Muse Spark 1.3 measured |
| Design Arena: 3D | Not measured | 1359 | Only Muse Spark 1.3 measured |
| Design Arena: all code categories | Not measured | 1353 | Only Muse Spark 1.3 measured |
| Design Arena: SVG | Not measured | 1300 | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | Not measured | 1280 | Only Muse Spark 1.3 measured |
| LiveBench design | 58.4% | 74.8% | Muse Spark 1.3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index024
| Benchmark | Gemma 4 31B | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | 79.6% | Muse Spark 1.3 |
| SAGE (Vals AI) | 55.0% | Not measured | Only Gemma 4 31B measured |
| IFBench | 75.6% | Not measured | Only Gemma 4 31B measured |
| Long context reasoning (AA-LCR) | 69.7% | 83.0% | Muse Spark 1.3 |
| DTBench | 82.7% | 96.5% | Muse Spark 1.3 |
| LMCA | 39.3% | 53.9% | Muse Spark 1.3 |
| Surface Evolver Bench | 30.6% | Not measured | Only Gemma 4 31B measured |
| LMArena Text | 1443 | 1490 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1433 | 1479 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1417 | 1462 | Muse Spark 1.3 |
| LMArena Vision | 1276 | 1308 | Muse Spark 1.3 |
| LMArena Text: English | 1451 | 1495 | Muse Spark 1.3 |
| LMArena Text: non-English | 1430 | 1481 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1475 | 1532 | Muse Spark 1.3 |
| LMArena Text: German | Not measured | 1513 | Only Muse Spark 1.3 measured |
| LMArena Text: Japanese | Not measured | 1470 | Only Muse Spark 1.3 measured |
| LMArena Text: Korean | Not measured | 1490 | Only Muse Spark 1.3 measured |
| LMArena Text: French | 1436 | 1511 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1442 | 1496 | Muse Spark 1.3 |
| LMArena Text: Russian | 1460 | 1491 | Muse Spark 1.3 |
| LMArena Text: Polish | 1433 | 1490 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1452 | 1487 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1446 | 1488 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1432 | 1470 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1405 | 1457 | Muse Spark 1.3 |
| LMArena Vision: English | 1271 | 1298 | Muse Spark 1.3 |
| LMArena Vision: Chinese | 1326 | 1384 | Muse Spark 1.3 |
| LMArena Vision: reading text | 1282 | 1319 | Muse Spark 1.3 |
| LMArena Vision: humor | 1280 | 1293 | Muse Spark 1.3 |
| LMArena Vision: captioning | 1218 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1285 | 1296 | Muse Spark 1.3 |
| LMArena Document | 1425 | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 31B | 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 4 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 4 31B | Meta Muse Spark 1.3 |
|---|---|---|
| Maker | Meta | |
| Weights | Open weights | No public weights listed |
| Released | April 2, 2026 | September 2, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.20 | $1.25 |
| Output $/Mtok | $0.40 | $4.25 |
| Coding index | 38.3 | 79.7 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than Muse Spark 1.3 for coding?
Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 38.3 for Gemma 4 31B. Pick Gemma 4 31B when output tokens cost 10.6x less, or when the benchmark that matters is LMArena Vision: homework, where it leads.
Which is cheaper, Gemma 4 31B or Muse Spark 1.3?
Gemma 4 31B costs $0.20 per million input tokens and $0.40 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 4 31B or Muse Spark 1.3?
Muse Spark 1.3, with 1.05M tokens against 262K.
How many benchmarks is the Gemma 4 31B vs Muse Spark 1.3 comparison based on?
55 benchmarks have a result for both models as of October 21, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. Where only one model has a result, the page says so instead of naming a winner.