Muse Spark 1.3 vs Ministral 3 14B 2512
Muse Spark 1.3 leads Ministral 3 14B 2512 on the Artificial Analysis Intelligence Index, 48.1 to 6.0, and Ministral 3 14B 2512 costs 21.3x less per output token ($0.20 vs $4.25 per million). Updated October 22, 2026; 7 benchmarks have a result for both.
Muse Spark 1.3 or Ministral 3 14B 2512: which to pick
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Ministral 3 14B 2512 has none, so the two cannot be ranked on coding.
Pick Ministral 3 14B 2512 for output tokens 21.3x cheaper ($0.20 vs $4.25 per million).
- Shared results
- 7
- Muse Spark 1.3 only
- 89
- Ministral 3 14B 2512 only
- 0
- Like-for-like categories
- 4 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 6.0.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 1.1.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1081.
Same board, both measured
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
Ministral 3 14B 2512
Muse Spark 1.3 $0.0034, Ministral 3 14B 2512 $0.0003 per turn.
List prices
At a glance
- Coding index
- Muse Spark 1.3 57.4 from 4 benchmarks, Ministral 3 14B 2512 not benchmarked.
- Widest category
- Coding, 61.4 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Muse Spark 1.3 75.8 against Ministral 3 14B 2512 14.4, 61.4 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.3 $4.25 against Ministral 3 14B 2512 $0.20 per million output tokens, 21.3x apart.
- Context window
- Muse Spark 1.3 takes 1.05M tokens, Ministral 3 14B 2512 262K.
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 | Ministral 3 14B 2512 | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Web design | 4 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev | 1659 | Not measured | Only Muse Spark 1.3 measured |
| AA Coding Index | 75.8 | 14.4 | Muse Spark 1.3 |
| 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 |
| SciCode | 59.7% | Not measured | Only Muse Spark 1.3 measured |
| FrontierSWE | 25.8% | Not measured | Only Muse Spark 1.3 measured |
| ALE-Bench | 1688.3 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: coding | 1510 | 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 | 1672 | 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 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| AA Intelligence Index | 48.1 | 6.0 | Muse Spark 1.3 |
| Epoch Capabilities Index | 157.2 | Not measured | Only Muse Spark 1.3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| AA Agentic Index | 55.5 | 1.1 | 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 | 1217 | 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 |
| APEX-Agents | 58.6% | Not measured | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| LiveBench reasoning | 89.7% | Not measured | Only Muse Spark 1.3 measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | Not measured | Only Muse Spark 1.3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | Not measured | Only Muse Spark 1.3 measured |
| 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 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: expert | 1519 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts in English | 1500 | 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 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| 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 | 1497 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: mathematical work | 1491 | 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 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| LMArena Text: science | 1507 | 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 | 1490 | 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 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| Design Arena: websites | 1356 | 1081 | Muse Spark 1.3 |
| Design Arena: UI components | 1350 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: game dev | 1328 | 1037 | Muse Spark 1.3 |
| Design Arena: data viz | 1344 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: 3D | 1358 | 989 | Muse Spark 1.3 |
| Design Arena: all code categories | 1352 | 1064 | Muse Spark 1.3 |
| Design Arena: SVG | 1301 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | 1283 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench design | 74.8% | Not measured | Only Muse Spark 1.3 measured |
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.6% | Not measured | Only Muse Spark 1.3 measured |
| Long context reasoning (AA-LCR) | 83.0% | Not measured | Only Muse Spark 1.3 measured |
| DTBench | 96.5% | Not measured | Only Muse Spark 1.3 measured |
| LMCA | 53.9% | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text | 1490 | 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 | 1495 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: non-English | 1481 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Chinese | 1532 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: German | 1513 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Japanese | 1470 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Korean | 1490 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: French | 1511 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Spanish | 1496 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Russian | 1491 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: Polish | 1490 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: multi-turn | 1487 | Not measured | Only Muse Spark 1.3 measured |
| LMArena Text: longer queries | 1488 | 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 | 1457 | 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 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.3 | Ministral 3 14B 2512 | 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
Ministral 3 14B 2512 costs less
Repository review
50K input + 3K output tokens
Ministral 3 14B 2512 costs less
Agent loop
200K input + 10K output tokens
Ministral 3 14B 2512 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 | Mistral Ministral 3 14B 2512 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | December 2, 2025 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $1.25 | $0.20 |
| Output $/Mtok | $4.25 | $0.20 |
| Coding index | 57.4 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.3 better than Ministral 3 14B 2512 for coding?
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Ministral 3 14B 2512 has none, so the two cannot be ranked on coding. Pick Ministral 3 14B 2512 for output tokens 21.3x cheaper ($0.20 vs $4.25 per million).
Which is cheaper, Muse Spark 1.3 or Ministral 3 14B 2512?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Ministral 3 14B 2512 costs $0.20 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Spark 1.3 or Ministral 3 14B 2512?
Muse Spark 1.3, with 1.05M tokens against 262K.
How many benchmarks is the Muse Spark 1.3 vs Ministral 3 14B 2512 comparison based on?
7 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 Ministral 3 14B 2512's on 0. Where only one model has a result, the page says so instead of naming a winner.