Muse Spark 1.3 vs MiniMax M2.1
Muse Spark 1.3 leads MiniMax M2.1 on the Artificial Analysis Intelligence Index, 48.1 to 20.9, and MiniMax M2.1 costs 3.5x less per output token ($1.20 vs $4.25 per million). Updated October 23, 2026; 12 benchmarks have a result for both.
Muse Spark 1.3 or MiniMax M2.1: which to pick
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding.
Pick MiniMax M2.1 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).
- Shared results
- 12
- Muse Spark 1.3 only
- 84
- MiniMax M2.1 only
- 22
- Like-for-like categories
- 5 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 20.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.3 has a AA Agentic Index result, 55.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M2.1 has a GPQA Diamond result, 78.5%.
Directional only
Math
AIME
No call
Only MiniMax M2.1 has a AIME result, 77.9%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.1 has a MMLU Pro result, 87.0%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1201.
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 M2.1
Muse Spark 1.3 $0.0034, MiniMax M2.1 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.1 has the number, $0.59.
Directional only
At a glance
- Coding index
- Muse Spark 1.3 57.4 from 4 benchmarks, MiniMax M2.1 not benchmarked.
- Widest category
- Coding, 35.5 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: Muse Spark 1.3 1688.3 against MiniMax M2.1 623.8, 35.5 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.3 $4.25 against MiniMax M2.1 $1.20 per million output tokens, 3.5x apart.
- Context window
- Muse Spark 1.3 takes 1.05M tokens, MiniMax M2.1 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 M2.1 | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Web design | 7 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 12 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev | 1657 | Not measured | Only Muse Spark 1.3 measured |
| AA Coding Index | 75.8 | Not measured | Only Muse Spark 1.3 measured |
| LiveCodeBench (Vals AI) | Not measured | 81.8% | Only MiniMax M2.1 measured |
| SWE-bench Verified (Vals AI) | Not measured | 74.8% | Only MiniMax M2.1 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Muse Spark 1.3 measured |
| Vibe Code Bench (Vals AI) | 82.9% | Not measured | Only Muse Spark 1.3 measured |
| Code migration (Vals AI) | 27.6% | Not measured | Only Muse Spark 1.3 measured |
| 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% | Not measured | Only Muse Spark 1.3 measured |
| CyberBench (Vals AI) | 69.4% | Not measured | Only Muse Spark 1.3 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 81.0% | Only MiniMax M2.1 measured |
| SciCode | 59.7% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 28.8% | Only MiniMax M2.1 measured |
| Terminal-Bench | Not measured | 36.6% | Only MiniMax M2.1 measured |
| FrontierSWE | 25.8% | Not measured | Only Muse Spark 1.3 measured |
| ALE-Bench | 1688.3 | 623.8 | Muse Spark 1.3 |
| LMArena Text: coding | 1511 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: software and IT | 1511 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: React | 1671 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: HTML | 1653 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: from an image | 1640 | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 48.1 | 20.9 | Muse Spark 1.3 |
| Epoch Capabilities Index | 157.2 | Not measured | Only Muse Spark 1.3 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 55.5 | Not measured | Only Muse Spark 1.3 measured |
| 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 | 1218 | 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 | 1210 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | 1075 | 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% | Not measured | Only Muse Spark 1.3 measured |
| Tax Agent Bench (Vals AI) | 36.0% | Not measured | Only Muse Spark 1.3 measured |
| Legal Research Bench (Vals AI) | 40.9% | Not measured | Only Muse Spark 1.3 measured |
| Excel Modeling Benchmark (Vals AI) | 62.7% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Muse Spark 1.3 measured |
| τ²-Bench Telecom | Not measured | 85.4% | Only MiniMax M2.1 measured |
| APEX-Agents | 58.6% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 78.5% | Only MiniMax M2.1 measured |
| LiveBench reasoning | 89.7% | Not measured | Only Muse Spark 1.3 measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 83.0% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 23.2% | 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 | 1504 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: expert | 1515 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts in English | 1501 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: diagrams | 1330 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision: homework | 1296 | Not measured | Only Muse Spark 1.3 measured |
| Humanity's Last Exam (Scale run) | 25.4% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 11 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| AIME | Not measured | 77.9% | Only MiniMax M2.1 measured |
| MATH 500 (Vals AI) | Not measured | 89.0% | Only MiniMax M2.1 measured |
| MGSM (Vals AI) | Not measured | 87.8% | Only MiniMax M2.1 measured |
| AA Math Index | Not measured | 82.7 | Only MiniMax M2.1 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 82.7% | Only MiniMax M2.1 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% | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: math | 1502 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: mathematical work | 1493 | Not measured | Only Muse Spark 1.3 measured |
| MathArena | 43.0% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 2 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.0% | Only MiniMax M2.1 measured |
| LegalBench (Vals AI) | Not measured | 75.5% | Only MiniMax M2.1 measured |
| CaseLaw (Vals AI) | Not measured | 55.8% | Only MiniMax M2.1 measured |
| CorpFin (Vals AI) | Not measured | 58.9% | Only MiniMax M2.1 measured |
| TaxEval (Vals AI) | Not measured | 66.3% | Only MiniMax M2.1 measured |
| MedQA (Vals AI) | Not measured | 91.2% | Only MiniMax M2.1 measured |
| MedCode (Vals AI) | Not measured | 34.1% | Only MiniMax M2.1 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 87.5% | Only MiniMax M2.1 measured |
| LMArena Text: science | 1506 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: medicine and healthcare | 1493 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: legal and government | 1499 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: business and finance | 1489 | Not measured | Only Muse Spark 1.3 measured |
| 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 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1356 | 1201 | Muse Spark 1.3 |
| Design Arena: UI components | 1350 | 1220 | Muse Spark 1.3 |
| Design Arena: game dev | 1328 | 1134 | Muse Spark 1.3 |
| Design Arena: data viz | 1343 | 1207 | Muse Spark 1.3 |
| Design Arena: 3D | 1364 | 1166 | Muse Spark 1.3 |
| Design Arena: all code categories | 1351 | 1190 | Muse Spark 1.3 |
| Design Arena: SVG | 1301 | 1131 | Muse Spark 1.3 |
| Design Arena: ASCII art | 1279 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench design | 74.8% | Not measured | Only Muse Spark 1.3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.6% | Not measured | Only Muse Spark 1.3 measured |
| MedScribe (Vals AI) | Not measured | 80.8% | Only MiniMax M2.1 measured |
| IFBench | Not measured | 69.9% | Only MiniMax M2.1 measured |
| Long context reasoning (AA-LCR) | 83.0% | 67.7% | 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 |
| LMArena Text | 1491 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: instruction following | 1479 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: creative writing | 1462 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Vision | 1308 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: English | 1496 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: non-English | 1482 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Chinese | 1529 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: German | 1513 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Japanese | 1465 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Korean | 1494 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: French | 1516 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Spanish | 1493 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Russian | 1494 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Polish | 1487 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: multi-turn | 1489 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: longer queries | 1489 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: writing and language | 1470 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: entertainment and media | 1458 | Not measured | Only Muse Spark 1.3 measured |
| 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 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.3 | MiniMax M2.1 | 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
MiniMax M2.1 costs less
Repository review
50K input + 3K output tokens
MiniMax M2.1 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2.1 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 M2.1 |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | December 23, 2025 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $4.25 | $1.20 |
| Coding index | 57.4 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | Not computable | $0.59 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.3 better than MiniMax M2.1 for coding?
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding. Pick MiniMax M2.1 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).
Which is cheaper, Muse Spark 1.3 or MiniMax M2.1?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.1 only.
Which has the bigger context window, Muse Spark 1.3 or MiniMax M2.1?
Muse Spark 1.3, with 1.05M tokens against 205K.
How many benchmarks is the Muse Spark 1.3 vs MiniMax M2.1 comparison based on?
12 benchmarks have a result for both models as of October 23, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and MiniMax M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.