Muse Spark 1.3 vs MiniMax M3
Muse Spark 1.3 leads MiniMax M3 on coding, 57.4 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 3.5x less per output token ($1.20 vs $4.25 per million). Updated October 22, 2026; 85 benchmarks have a result for both.
Muse Spark 1.3 or MiniMax M3: which to pick
Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6.
Pick MiniMax M3 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).
- Shared results
- 85
- Muse Spark 1.3 only
- 11
- MiniMax M3 only
- 32
- 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 1.3
Muse Spark 1.3 scores 57.4 against 39.2.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 29.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1257.
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
MiniMax M3
Muse Spark 1.3 $0.0034, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- Muse Spark 1.3 57.4 from 4 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Math, 21.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- LiveBench browser: Muse Spark 1.3 80.0% against MiniMax M3 8.0%, 72.0 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.3 $4.25 against MiniMax M3 $1.20 per million output tokens, 3.5x 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 | Muse Spark 1.3 | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 15 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 14 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 9 | 0 | ||
| General | 26 | 0 | 1 tie | |
| All shared boards | 84 | 0 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | 70.9% | Muse Spark 1.3 |
| LMArena WebDev | 1659 | 1482 | Muse Spark 1.3 |
| AA Coding Index | 75.8 | 58.6 | Muse Spark 1.3 |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | 1.0% | Muse Spark 1.3 |
| Vibe Code Bench (Vals AI) | 82.9% | 47.6% | Muse Spark 1.3 |
| Code migration (Vals AI) | 27.6% | 19.9% | Muse Spark 1.3 |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Muse Spark 1.3 measured |
| IOI (Vals AI) | 43.9% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 72.3% | 53.6% | Muse Spark 1.3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.3% | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 9.2% | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | 69.4% | 65.0% | Muse Spark 1.3 |
| SciCode | 59.7% | 47.1% | Muse Spark 1.3 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | Not measured | 14.7% | Only MiniMax M3 measured |
| FrontierSWE | 25.8% | Not measured | Only Muse Spark 1.3 measured |
| ALE-Bench | 1688.3 | 640.0 | Muse Spark 1.3 |
| LMArena Text: coding | 1510 | 1470 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1511 | 1466 | Muse Spark 1.3 |
| LMArena WebDev: React | 1672 | 1478 | Muse Spark 1.3 |
| LMArena WebDev: HTML | 1653 | 1455 | Muse Spark 1.3 |
| LMArena WebDev: from an image | 1640 | 1470 | Muse Spark 1.3 |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 48.1 | 29.2 | Muse Spark 1.3 |
| Epoch Capabilities Index | 157.2 | 146.9 | Muse Spark 1.3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index140
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | 55.5 | 29.5 | Muse Spark 1.3 |
| Design Arena: agents building web apps | 1297 | 1200 | Muse Spark 1.3 |
| Design Arena: agents building full-stack apps | 1295 | 1197 | Muse Spark 1.3 |
| Design Arena: agents building mobile apps | 1217 | 1169 | Muse Spark 1.3 |
| Design Arena: agents building Android apps | Not measured | 1158 | Only MiniMax M3 measured |
| Design Arena: agents building Godot games | 1241 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building games | Not measured | 1159 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1120 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | 1217 | 1178 | Muse Spark 1.3 |
| Design Arena: spreadsheets | 1075 | 1042 | Muse Spark 1.3 |
| LiveBench research | 68.6% | 68.0% | Muse Spark 1.3 |
| LiveBench browser | 80.0% | 8.0% | Muse Spark 1.3 |
| LiveBench long agentic | 40.4% | 12.4% | Muse Spark 1.3 |
| Finance Agent (Vals AI) | 58.9% | 48.3% | Muse Spark 1.3 |
| Tax Agent Bench (Vals AI) | 36.0% | 20.6% | Muse Spark 1.3 |
| Legal Research Bench (Vals AI) | 40.9% | 29.8% | Muse Spark 1.3 |
| Excel Modeling Benchmark (Vals AI) | 62.7% | 47.8% | Muse Spark 1.3 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Muse Spark 1.3 measured |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 58.6% | 37.7% | Muse Spark 1.3 |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | Not measured | $2,158 | Only MiniMax M3 measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| LiveBench reasoning | 89.7% | 74.5% | Muse Spark 1.3 |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 92.9% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 39.0% | Muse Spark 1.3 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only MiniMax M3 measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 37.0% | 13.0% | Muse Spark 1.3 |
| Mystery game puzzles | 25.0% | 8.0% | Muse Spark 1.3 |
| LMArena Text: hard prompts | 1503 | 1447 | Muse Spark 1.3 |
| LMArena Text: expert | 1519 | 1461 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1500 | 1455 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1330 | 1266 | Muse Spark 1.3 |
| LMArena Vision: homework | 1296 | 1268 | Muse Spark 1.3 |
| Humanity's Last Exam (Scale run) | 25.4% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.2% | 71.1% | Muse Spark 1.3 |
| FrontierMath, tiers 1 to 3 | 74.4% | Not measured | Only Muse Spark 1.3 measured |
| FrontierMath, tier 4 | 46.3% | Not measured | Only Muse Spark 1.3 measured |
| ProofBench | 58.0% | 18.0% | Muse Spark 1.3 |
| LMArena Text: math | 1497 | 1429 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1491 | 1448 | Muse Spark 1.3 |
| MathArena | 43.0% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | Not measured | 85.4% | Only MiniMax M3 measured |
| CorpFin (Vals AI) | Not measured | 68.1% | Only MiniMax M3 measured |
| TaxEval (Vals AI) | Not measured | 72.7% | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | Not measured | 46.3% | Only MiniMax M3 measured |
| LMArena Text: science | 1507 | 1452 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1493 | 1441 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1499 | 1437 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1490 | 1434 | Muse Spark 1.3 |
| PRBench Finance | 59.5% | Not measured | Only Muse Spark 1.3 measured |
| PRBench Legal | 61.6% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1356 | 1257 | Muse Spark 1.3 |
| Design Arena: UI components | 1350 | 1243 | Muse Spark 1.3 |
| Design Arena: game dev | 1328 | 1210 | Muse Spark 1.3 |
| Design Arena: data viz | 1344 | 1236 | Muse Spark 1.3 |
| Design Arena: 3D | 1358 | 1208 | Muse Spark 1.3 |
| Design Arena: all code categories | 1352 | 1246 | Muse Spark 1.3 |
| Design Arena: SVG | 1301 | 1160 | Muse Spark 1.3 |
| Design Arena: ASCII art | 1283 | 1161 | Muse Spark 1.3 |
| LiveBench design | 74.8% | 66.2% | Muse Spark 1.3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
| Benchmark | Muse Spark 1.3 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.6% | 76.2% | Muse Spark 1.3 |
| Public Benefits Bench (Vals AI) | Not measured | 64.1% | Only MiniMax M3 measured |
| SAGE (Vals AI) | Not measured | 50.6% | Only MiniMax M3 measured |
| MedScribe (Vals AI) | Not measured | 87.3% | Only MiniMax M3 measured |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 83.0% | 83.0% | Tie |
| DTBench | 96.5% | 78.9% | Muse Spark 1.3 |
| LMCA | 53.9% | 33.7% | Muse Spark 1.3 |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| LMArena Text | 1490 | 1433 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1479 | 1433 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1462 | 1404 | Muse Spark 1.3 |
| LMArena Vision | 1308 | 1251 | Muse Spark 1.3 |
| LMArena Text: English | 1495 | 1443 | Muse Spark 1.3 |
| LMArena Text: non-English | 1481 | 1420 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1532 | 1466 | Muse Spark 1.3 |
| LMArena Text: German | 1513 | 1428 | Muse Spark 1.3 |
| LMArena Text: Japanese | 1470 | 1380 | Muse Spark 1.3 |
| LMArena Text: Korean | 1490 | 1373 | Muse Spark 1.3 |
| LMArena Text: French | 1511 | 1444 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1496 | 1433 | Muse Spark 1.3 |
| LMArena Text: Russian | 1491 | 1426 | Muse Spark 1.3 |
| LMArena Text: Polish | 1490 | 1423 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1487 | 1443 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1488 | 1446 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1470 | 1419 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1457 | 1403 | Muse Spark 1.3 |
| LMArena Vision: English | 1298 | 1263 | Muse Spark 1.3 |
| LMArena Vision: Chinese | 1384 | 1311 | Muse Spark 1.3 |
| LMArena Vision: reading text | 1319 | 1259 | Muse Spark 1.3 |
| LMArena Vision: humor | 1293 | 1235 | Muse Spark 1.3 |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1296 | 1234 | Muse Spark 1.3 |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| EQ-Bench 4 | Not measured | 1150 | Only MiniMax M3 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 | Muse Spark 1.3 | MiniMax M3 | 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
MiniMax M3 costs less
Repository review
50K input + 3K output tokens
MiniMax M3 costs less
Agent loop
200K input + 10K output tokens
MiniMax M3 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 | Meta Muse Spark 1.3 | MiniMax M3 |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | May 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $4.25 | $1.20 |
| Coding index | 57.4 | 39.2 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | Not computable | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.3 better than MiniMax M3 for coding?
Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6. Pick MiniMax M3 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).
Which is cheaper, Muse Spark 1.3 or MiniMax M3?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, Muse Spark 1.3 or MiniMax M3?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Spark 1.3 vs MiniMax M3 comparison based on?
85 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.