Muse Spark 1.3 vs MiniMax M2.7
Updated October 21, 2026. 57 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 28.4 for MiniMax M2.7.
Pick MiniMax M2.7 when output tokens cost 3.5x less.
- Shared results
- 57
- Muse Spark 1.3 only
- 35
- MiniMax M2.7 only
- 17
- 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 28.4.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 15.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only MiniMax M2.7 has a GPQA Diamond result, 86.6%.
Directional only
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.7 has a MMLU Pro result, 80.4%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1243.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.3
Muse Spark 1.3 takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.7
Muse Spark 1.3 $0.0034, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.7 has the number, $0.64.
Directional only
At a glance
- Coding index
- Muse Spark 1.3 79.7 from 2 benchmarks, MiniMax M2.7 28.4 from 1 benchmark.
- Widest category
- Agentic work, 33.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Spark 1.3 82.9% against MiniMax M2.7 11.9%, 70.9 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.3 $4.25 against MiniMax M2.7 $1.20 per million output tokens, 3.5x apart.
- Context window
- Muse Spark 1.3 takes 1.05M tokens, MiniMax M2.7 205K.
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 M2.7 | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 8 | 0 | ||
| General | 18 | 0 | ||
| All shared boards | 57 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index120
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev | 1659 | 1399 | Muse Spark 1.3 |
| AA Coding Index | 75.8 | 52.6 | Muse Spark 1.3 |
| LiveCodeBench (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| SWE-bench Verified (Vals AI) | Not measured | 73.8% | Only MiniMax M2.7 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Muse Spark 1.3 measured |
| Vibe Code Bench (Vals AI) | 82.9% | 11.9% | Muse Spark 1.3 |
| Code migration (Vals AI) | 27.6% | 8.7% | Muse Spark 1.3 |
| ProgramBench (Vals AI) | 0.5% | 0.0% | Muse Spark 1.3 |
| IOI (Vals AI) | 43.9% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 72.3% | 48.7% | Muse Spark 1.3 |
| CyberBench (Vals AI) | 69.4% | Not measured | Only Muse Spark 1.3 measured |
| SciCode | 59.7% | 50.1% | Muse Spark 1.3 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 39.4% | Only MiniMax M2.7 measured |
| Terminal-Bench | Not measured | 45.1% | Only MiniMax M2.7 measured |
| FrontierSWE | 25.8% | Not measured | Only Muse Spark 1.3 measured |
| WeirdML | Not measured | 37.0% | Only MiniMax M2.7 measured |
| ALE-Bench | 1688.3 | 599.3 | Muse Spark 1.3 |
| LMArena Text: coding | 1510 | 1454 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1511 | 1446 | Muse Spark 1.3 |
| LMArena WebDev: React | 1672 | 1388 | Muse Spark 1.3 |
| LMArena WebDev: HTML | 1653 | 1401 | Muse Spark 1.3 |
| LMArena WebDev: from an image | 1640 | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 48.1 | 22.8 | Muse Spark 1.3 |
| Epoch Capabilities Index | 157.2 | 145.8 | Muse Spark 1.3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 55.5 | 15.3 | Muse Spark 1.3 |
| Design Arena: agents building web apps | 1297 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building full-stack apps | 1295 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building mobile apps | 1217 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building Godot games | 1241 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: PowerPoint slides | 1244 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | 1048 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench research | 68.6% | Not measured | Only Muse Spark 1.3 measured |
| LiveBench browser | 80.0% | Not measured | Only Muse Spark 1.3 measured |
| LiveBench long agentic | 40.4% | Not measured | Only Muse Spark 1.3 measured |
| Finance Agent (Vals AI) | 58.9% | 27.9% | Muse Spark 1.3 |
| Tax Agent Bench (Vals AI) | 36.0% | 6.9% | Muse Spark 1.3 |
| Legal Research Bench (Vals AI) | 40.9% | 10.6% | Muse Spark 1.3 |
| Excel Modeling Benchmark (Vals AI) | 62.7% | 28.4% | Muse Spark 1.3 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Muse Spark 1.3 measured |
| τ²-Bench Telecom | Not measured | 84.8% | Only MiniMax M2.7 measured |
| APEX-Agents | 58.6% | Not measured | 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 index50
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.6% | Only MiniMax M2.7 measured |
| LiveBench reasoning | 89.7% | Not measured | Only Muse Spark 1.3 measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 87.4% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 29.6% | Muse Spark 1.3 |
| Chess puzzles | 37.0% | Not measured | Only Muse Spark 1.3 measured |
| Mystery game puzzles | 25.0% | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts | 1503 | 1422 | Muse Spark 1.3 |
| LMArena Text: expert | 1519 | 1443 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1500 | 1441 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1330 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: homework | 1296 | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 91.0% | Only MiniMax M2.7 measured |
| OTIS Mock AIME | 99.2% | Not measured | Only Muse Spark 1.3 measured |
| 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% | 3.0% | Muse Spark 1.3 |
| LMArena Text: math | 1497 | 1421 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1491 | 1437 | Muse Spark 1.3 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.4% | Only MiniMax M2.7 measured |
| LegalBench (Vals AI) | Not measured | 84.0% | Only MiniMax M2.7 measured |
| CaseLaw (Vals AI) | Not measured | 60.9% | Only MiniMax M2.7 measured |
| CorpFin (Vals AI) | Not measured | 61.2% | Only MiniMax M2.7 measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only MiniMax M2.7 measured |
| MedCode (Vals AI) | Not measured | 34.4% | Only MiniMax M2.7 measured |
| LMArena Text: science | 1507 | 1416 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1493 | 1409 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1499 | 1403 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1490 | 1407 | Muse Spark 1.3 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1356 | 1243 | Muse Spark 1.3 |
| Design Arena: UI components | 1352 | 1210 | Muse Spark 1.3 |
| Design Arena: game dev | 1329 | 1210 | Muse Spark 1.3 |
| Design Arena: data viz | 1343 | 1233 | Muse Spark 1.3 |
| Design Arena: 3D | 1359 | 1195 | Muse Spark 1.3 |
| Design Arena: all code categories | 1353 | 1233 | Muse Spark 1.3 |
| Design Arena: SVG | 1300 | 1136 | Muse Spark 1.3 |
| Design Arena: ASCII art | 1280 | 1136 | Muse Spark 1.3 |
| LiveBench design | 74.8% | Not measured | Only Muse Spark 1.3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.6% | Not measured | Only Muse Spark 1.3 measured |
| MedScribe (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| IFBench | Not measured | 75.7% | Only MiniMax M2.7 measured |
| Long context reasoning (AA-LCR) | 83.0% | 78.3% | Muse Spark 1.3 |
| DTBench | 96.5% | Not measured | Only Muse Spark 1.3 measured |
| LMCA | 53.9% | Not measured | Only Muse Spark 1.3 measured |
| ExploitBench | Not measured | 13.3% | Only MiniMax M2.7 measured |
| LMArena Text | 1490 | 1405 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1479 | 1405 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1462 | 1354 | Muse Spark 1.3 |
| LMArena Vision | 1308 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: English | 1495 | 1426 | Muse Spark 1.3 |
| LMArena Text: non-English | 1481 | 1382 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1532 | 1442 | Muse Spark 1.3 |
| LMArena Text: German | 1513 | 1398 | Muse Spark 1.3 |
| LMArena Text: Japanese | 1470 | 1260 | Muse Spark 1.3 |
| LMArena Text: Korean | 1490 | 1314 | Muse Spark 1.3 |
| LMArena Text: French | 1511 | 1424 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1496 | 1402 | Muse Spark 1.3 |
| LMArena Text: Russian | 1491 | 1383 | Muse Spark 1.3 |
| LMArena Text: Polish | 1490 | 1387 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1487 | 1412 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1488 | 1418 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1470 | 1376 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1457 | 1360 | Muse Spark 1.3 |
| LMArena Vision: English | 1298 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: Chinese | 1384 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: reading text | 1319 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: humor | 1293 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: creative writing | 1296 | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.3 | MiniMax M2.7 | 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 M2.7 costs less
Repository review
50K input + 3K output tokens
MiniMax M2.7 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2.7 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 M2.7 |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | March 18, 2026 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $4.25 | $1.20 |
| Coding index | 79.7 | 28.4 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.3 better than MiniMax M2.7 for coding?
Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 28.4 for MiniMax M2.7. Pick MiniMax M2.7 when output tokens cost 3.5x less.
Which is cheaper, Muse Spark 1.3 or MiniMax M2.7?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.
Which has the bigger context window, Muse Spark 1.3 or MiniMax M2.7?
Muse Spark 1.3, with 1.05M tokens against 205K.
How many benchmarks is the Muse Spark 1.3 vs MiniMax M2.7 comparison based on?
57 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 2 independent benchmarks and MiniMax M2.7's on 1. Where only one model has a result, the page says so instead of naming a winner.