Kimi K2.5 vs Muse Spark 1.2
Updated October 21, 2026. 68 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 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 58.5 for Kimi K2.5.
Pick Kimi K2.5 when output tokens cost 1.7x less, or when a solved task costs $0.24 against $0.64.
- Shared results
- 68
- Kimi K2.5 only
- 30
- Muse Spark 1.2 only
- 29
- 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 1.2
Muse Spark 1.2 scores 65.1 against 58.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.2 has a AA Agentic Index result, 43.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K2.5 has a GPQA Diamond result, 84.1%.
Directional only
Math
AIME
No call
Only Kimi K2.5 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
Muse Spark 1.2
Muse Spark 1.2 leads, 88.3% against 85.9%.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1313 against 1249.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.2
Muse Spark 1.2 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.5
Kimi K2.5 $0.0018, Muse Spark 1.2 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.5
Kimi K2.5 $0.24, Muse Spark 1.2 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.5 58.5 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
- Widest category
- Coding, 20.7 points apart on average over 11 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.5 17.5% against Muse Spark 1.2 79.1%, 61.6 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.5 $2.50 against Muse Spark 1.2 $4.25 per million output tokens, 1.7x apart.
- Context window
- Kimi K2.5 takes 262K tokens, Muse Spark 1.2 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 | Kimi K2.5 | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 0 | 11 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 7 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 9 | ||
| Web design | 0 | 8 | ||
| General | 1 | 19 | ||
| All shared boards | 2 | 66 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index011
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| SWE-bench Verified | 70.8% | Not measured | Only Kimi K2.5 measured |
| SWE-bench Multilingual | 67.3% | Not measured | Only Kimi K2.5 measured |
| LiveBench coding | Not measured | 78.2% | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1437 | 1534 | Muse Spark 1.2 |
| AA Coding Index | 46.8 | 72.2 | Muse Spark 1.2 |
| LiveCodeBench (Vals AI) | 83.9% | Not measured | Only Kimi K2.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | 86.6% | Muse Spark 1.2 |
| Terminal-Bench 4 (Vals AI) | Not measured | 6.1% | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | 17.5% | 79.1% | Muse Spark 1.2 |
| Code migration (Vals AI) | 7.0% | 29.9% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Muse Spark 1.2 measured |
| IOI (Vals AI) | Not measured | 21.8% | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 69.7% | Muse Spark 1.2 |
| SkillsBench (Vals AI) | Not measured | 53.0% | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | Not measured | 69.5% | Only Muse Spark 1.2 measured |
| SciCode | Not measured | 57.4% | Only Muse Spark 1.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | Not measured | Only Kimi K2.5 measured |
| Terminal-Bench | 43.2% | Not measured | Only Kimi K2.5 measured |
| FrontierSWE | Not measured | 12.0% | Only Muse Spark 1.2 measured |
| WeirdML | 45.6% | 60.3% | Muse Spark 1.2 |
| ALE-Bench | 821.6 | Not measured | Only Kimi K2.5 measured |
| LMArena Text: coding | 1483 | 1505 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1471 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | 1429 | 1526 | Muse Spark 1.2 |
| LMArena WebDev: HTML | 1426 | 1543 | Muse Spark 1.2 |
| LMArena WebDev: from an image | 1439 | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 39.6 | Muse Spark 1.2 |
| Epoch Capabilities Index | 148.1 | 155.1 | Muse Spark 1.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 43.2 | Only Muse Spark 1.2 measured |
| Design Arena: agents building web apps | 1136 | 1222 | Muse Spark 1.2 |
| Design Arena: agents building full-stack apps | 1114 | 1210 | Muse Spark 1.2 |
| Design Arena: agents building mobile apps | 1147 | 1182 | Muse Spark 1.2 |
| Design Arena: agents building Android apps | 1124 | 1228 | Muse Spark 1.2 |
| Design Arena: agents building Godot games | 1219 | Not measured | Only Kimi K2.5 measured |
| Design Arena: agents building games | Not measured | 1179 | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | Not measured | 1135 | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | Not measured | 1198 | Only Muse Spark 1.2 measured |
| LiveBench research | Not measured | 67.7% | Only Muse Spark 1.2 measured |
| LiveBench browser | Not measured | 36.0% | Only Muse Spark 1.2 measured |
| LiveBench long agentic | Not measured | 21.3% | Only Muse Spark 1.2 measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 35.8% | 60.6% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | Not measured | 32.8% | Only Muse Spark 1.2 measured |
| Legal Research Bench (Vals AI) | 15.9% | 43.8% | Muse Spark 1.2 |
| Excel Modeling Benchmark (Vals AI) | 28.5% | 57.0% | Muse Spark 1.2 |
| BioMysteryBench (Vals AI) | Not measured | 64.8% | Only Muse Spark 1.2 measured |
| τ²-Bench Telecom | 95.9% | Not measured | Only Kimi K2.5 measured |
| APEX-Agents | Not measured | 45.4% | Only Muse Spark 1.2 measured |
| OSWorld | 63.3% | Not measured | Only Kimi K2.5 measured |
| Vending-Bench 2 | $1,198 | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| GPQA Diamond | 84.1% | Not measured | Only Kimi K2.5 measured |
| LiveBench reasoning | Not measured | 90.0% | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | 84.3% | 86.1% | Muse Spark 1.2 |
| GPQA Diamond (Artificial Analysis run) | 87.9% | 90.4% | Muse Spark 1.2 |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | 45.5% | Muse Spark 1.2 |
| ARC-AGI | 65.3% | Not measured | Only Kimi K2.5 measured |
| ARC-AGI-2 | 11.8% | Not measured | Only Kimi K2.5 measured |
| SimpleBench | 46.8% | 74.5% | Muse Spark 1.2 |
| Chess puzzles | Not measured | 27.0% | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts | 1453 | 1489 | Muse Spark 1.2 |
| LMArena Text: expert | 1466 | 1475 | Muse Spark 1.2 |
| LMArena Text: hard prompts in English | 1460 | 1487 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1282 | 1317 | Muse Spark 1.2 |
| LMArena Vision: homework | 1297 | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only Kimi K2.5 measured |
| ProofBench | Not measured | 43.0% | Only Muse Spark 1.2 measured |
| LMArena Text: math | 1470 | 1484 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1473 | 1480 | Muse Spark 1.2 |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| MMLU Pro | 85.9% | 88.3% | Muse Spark 1.2 |
| LegalBench (Vals AI) | Not measured | 85.3% | Only Muse Spark 1.2 measured |
| CaseLaw (Vals AI) | 58.7% | Not measured | Only Kimi K2.5 measured |
| CorpFin (Vals AI) | 68.3% | 70.9% | Muse Spark 1.2 |
| TaxEval (Vals AI) | 74.2% | 80.4% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 66.5% | 65.4% | Kimi K2.5 |
| MedQA (Vals AI) | 94.4% | Not measured | Only Kimi K2.5 measured |
| MedCode (Vals AI) | 39.3% | 49.4% | Muse Spark 1.2 |
| SimpleQA Verified | 34.3% | 60.3% | Muse Spark 1.2 |
| LMArena Text: science | 1459 | 1500 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1448 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1441 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1427 | 1484 | Muse Spark 1.2 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1249 | 1313 | Muse Spark 1.2 |
| Design Arena: UI components | 1236 | 1300 | Muse Spark 1.2 |
| Design Arena: game dev | 1207 | 1302 | Muse Spark 1.2 |
| Design Arena: data viz | 1219 | 1334 | Muse Spark 1.2 |
| Design Arena: 3D | 1205 | 1301 | Muse Spark 1.2 |
| Design Arena: all code categories | 1236 | 1313 | Muse Spark 1.2 |
| Design Arena: SVG | 1149 | 1285 | Muse Spark 1.2 |
| Design Arena: ASCII art | 1165 | 1284 | Muse Spark 1.2 |
| LiveBench design | Not measured | 67.1% | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index119
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.5% | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | 49.9% | 47.7% | Kimi K2.5 |
| MedScribe (Vals AI) | 76.4% | 90.1% | Muse Spark 1.2 |
| Vals Multimodal Index | Not measured | 69.8% | Only Muse Spark 1.2 measured |
| IFBench | 70.2% | Not measured | Only Kimi K2.5 measured |
| Long context reasoning (AA-LCR) | 78.0% | 79.0% | Muse Spark 1.2 |
| DTBench | Not measured | 94.7% | Only Muse Spark 1.2 measured |
| LMCA | Not measured | 48.4% | Only Muse Spark 1.2 measured |
| Fiction.LiveBench | 86.1% | Not measured | Only Kimi K2.5 measured |
| CL-bench | 19.3% | Not measured | Only Kimi K2.5 measured |
| CL-bench Life | 13.2% | Not measured | Only Kimi K2.5 measured |
| LMArena Text | 1445 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1431 | 1462 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1422 | 1436 | Muse Spark 1.2 |
| LMArena Vision | 1269 | 1304 | Muse Spark 1.2 |
| LMArena Text: English | 1453 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1433 | 1476 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1494 | 1509 | Muse Spark 1.2 |
| LMArena Text: German | 1441 | Not measured | Only Kimi K2.5 measured |
| LMArena Text: Japanese | 1423 | Not measured | Only Kimi K2.5 measured |
| LMArena Text: Korean | 1412 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1454 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1450 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1435 | 1483 | Muse Spark 1.2 |
| LMArena Text: Polish | 1445 | Not measured | Only Kimi K2.5 measured |
| LMArena Text: multi-turn | 1444 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1445 | 1473 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1425 | 1453 | Muse Spark 1.2 |
| LMArena Text: entertainment and media | 1417 | 1443 | Muse Spark 1.2 |
| LMArena Vision: English | 1274 | 1291 | Muse Spark 1.2 |
| LMArena Vision: Chinese | 1328 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: reading text | 1276 | 1313 | Muse Spark 1.2 |
| LMArena Vision: humor | 1284 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: captioning | 1257 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: recognizing things | 1285 | Not measured | Only Kimi K2.5 measured |
| LMArena Vision: creative writing | 1269 | Not measured | Only Kimi K2.5 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.5 | Muse Spark 1.2 | 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
Kimi K2.5 costs less
Repository review
50K input + 3K output tokens
Kimi K2.5 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.5 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 | MoonshotAI Kimi K2.5 | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | Open weights | No public weights listed |
| Released | January 27, 2026 | August 5, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.50 | $1.25 |
| Output $/Mtok | $2.50 | $4.25 |
| Coding index | 58.5 | 65.1 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.24 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.5 better than Muse Spark 1.2 for coding?
Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 58.5 for Kimi K2.5. Pick Kimi K2.5 when output tokens cost 1.7x less, or when a solved task costs $0.24 against $0.64.
Which is cheaper, Kimi K2.5 or Muse Spark 1.2?
Kimi K2.5 costs $0.50 per million input tokens and $2.50 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Kimi K2.5 costs $0.24 and Muse Spark 1.2 $0.64.
Which has the bigger context window, Kimi K2.5 or Muse Spark 1.2?
Muse Spark 1.2, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.5 vs Muse Spark 1.2 comparison based on?
68 benchmarks have a result for both models as of October 21, 2026. Kimi K2.5's coding index rests on 2 independent benchmarks and Muse Spark 1.2's on 2. Where only one model has a result, the page says so instead of naming a winner.