Kimi K3 vs Muse Spark 1.2
Kimi K3 leads Muse Spark 1.2 on coding, 62.3 to 55.7 on the Vibe Coding Index, and Muse Spark 1.2 costs 3.5x less per output token ($4.25 vs $15.00 per million). Updated October 22, 2026; 90 benchmarks have a result for both.
Kimi K3 or Muse Spark 1.2: which to pick
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 55.7 for Muse Spark 1.2.
Pick Muse Spark 1.2 for output tokens 3.5x cheaper ($4.25 vs $15.00 per million) and a lower cost per solved task ($0.64 against $0.81).
- Shared results
- 90
- Kimi K3 only
- 27
- Muse Spark 1.2 only
- 7
- 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
Kimi K3
Kimi K3 scores 62.3 against 55.7.
6 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 39.6.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 43.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Kimi K3 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
Muse Spark 1.2
Muse Spark 1.2 leads, 88.3% against 88.0%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1312.
Same board, both measured
General
Vals Index
No call
Only Kimi K3 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.2
Kimi K3 $0.011, Muse Spark 1.2 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Muse Spark 1.2
Kimi K3 $0.81, Muse Spark 1.2 $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K3 62.3 from 6 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
- Widest category
- Math, 16.6 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Kimi K3 87.0% against Muse Spark 1.2 43.0%, 44.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K3 $15.00 against Muse Spark 1.2 $4.25 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 | Kimi K3 | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 15 | 3 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 15 | 2 | ||
| Reasoning | 8 | 1 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 6 | ||
| Web design | 8 | 0 | ||
| General | 12 | 10 | ||
| All shared boards | 68 | 22 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index153
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench coding | 59.3% | 78.2% | Muse Spark 1.2 |
| LMArena WebDev | 1655 | 1534 | Kimi K3 |
| AA Coding Index | 76.2 | 72.2 | Kimi K3 |
| LiveCodeBench (Vals AI) | 87.2% | Not measured | Only Kimi K3 measured |
| SWE-bench Verified (Vals AI) | 93.4% | 86.6% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | 17.2% | 6.1% | Kimi K3 |
| Vibe Code Bench (Vals AI) | 85.0% | 79.1% | Kimi K3 |
| Code migration (Vals AI) | 16.1% | 29.9% | Muse Spark 1.2 |
| ProgramBench (Vals AI) | 2.0% | 0.5% | Kimi K3 |
| IOI (Vals AI) | 48.9% | 21.8% | Kimi K3 |
| Terminal-Bench 2.1 (Vals AI) | 80.9% | 69.7% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | 44.2% | Not measured | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.2% | Not measured | Only Kimi K3 measured |
| SkillsBench (Vals AI) | Not measured | 53.0% | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | 75.2% | 69.5% | Kimi K3 |
| SciCode | 59.5% | 57.4% | Kimi K3 |
| FrontierCode | 44.2% | Not measured | Only Kimi K3 measured |
| FrontierSWE | 25.9% | 12.0% | Kimi K3 |
| WeirdML | 82.6% | 60.3% | Kimi K3 |
| ALE-Bench | 1524.5 | Not measured | Only Kimi K3 measured |
| LMArena Text: coding | 1508 | 1505 | Kimi K3 |
| LMArena Text: software and IT | 1499 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | 1670 | 1526 | Kimi K3 |
| LMArena WebDev: HTML | 1644 | 1543 | Kimi K3 |
| LMArena WebDev: from an image | 1579 | Not measured | Only Kimi K3 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.6 | 39.6 | Kimi K3 |
| Epoch Capabilities Index | 157.9 | 155.1 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index152
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | 50.0 | 43.2 | Kimi K3 |
| Design Arena: agents building web apps | 1295 | 1221 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1315 | 1210 | Kimi K3 |
| Design Arena: agents building mobile apps | 1269 | 1181 | Kimi K3 |
| Design Arena: agents building Android apps | 1253 | 1222 | Kimi K3 |
| Design Arena: agents building Godot games | 1223 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building games | 1252 | 1179 | Kimi K3 |
| Design Arena: HTML slides | 1206 | 1085 | Kimi K3 |
| Design Arena: PowerPoint slides | 1247 | 1172 | Kimi K3 |
| Design Arena: spreadsheets | 1070 | Not measured | Only Kimi K3 measured |
| LiveBench research | 79.0% | 67.7% | Kimi K3 |
| LiveBench browser | 16.0% | 36.0% | Muse Spark 1.2 |
| LiveBench long agentic | 42.8% | 21.3% | Kimi K3 |
| SREBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 53.1% | 60.6% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 33.4% | 32.8% | Kimi K3 |
| Legal Research Bench (Vals AI) | 46.1% | 43.8% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.9% | Not measured | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 66.7% | 57.0% | Kimi K3 |
| BioMysteryBench (Vals AI) | 72.6% | 64.8% | Kimi K3 |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Kimi K3 measured |
| Time Horizon Index (Vals AI) | 10.5% | Not measured | Only Kimi K3 measured |
| APEX-Agents | 47.8% | 45.4% | Kimi K3 |
| PostTrainBench | 32.0% | Not measured | Only Kimi K3 measured |
| Vending-Bench 2 | $5,165 | Not measured | Only Kimi K3 measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | Not measured | Only Kimi K3 measured |
| LiveBench reasoning | 90.7% | 90.0% | Kimi K3 |
| MMMU Pro (Vals AI) | 88.2% | 86.1% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 93.5% | 90.4% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 46.9% | 45.5% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 93.1% | Not measured | Only Kimi K3 measured |
| ARC-AGI | 94.5% | Not measured | Only Kimi K3 measured |
| ARC-AGI-2 | 60.4% | Not measured | Only Kimi K3 measured |
| SimpleBench | 60.7% | 74.5% | Muse Spark 1.2 |
| Chess puzzles | 37.0% | 27.0% | Kimi K3 |
| Mystery game puzzles | 26.0% | Not measured | Only Kimi K3 measured |
| LMArena Text: hard prompts | 1495 | 1489 | Kimi K3 |
| LMArena Text: expert | 1520 | 1475 | Kimi K3 |
| LMArena Text: hard prompts in English | 1496 | 1487 | Kimi K3 |
| LMArena Vision: diagrams | Not measured | 1317 | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | Not measured | Only Kimi K3 measured |
| FrontierMath, tiers 1 to 3 | 72.2% | Not measured | Only Kimi K3 measured |
| FrontierMath, tier 4 | 39.0% | Not measured | Only Kimi K3 measured |
| ProofBench | 87.0% | 43.0% | Kimi K3 |
| LMArena Text: math | 1494 | 1484 | Kimi K3 |
| LMArena Text: mathematical work | 1505 | 1480 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index56
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| MMLU Pro | 88.0% | 88.3% | Muse Spark 1.2 |
| LegalBench (Vals AI) | 86.2% | 85.3% | Kimi K3 |
| CorpFin (Vals AI) | 71.6% | 70.9% | Kimi K3 |
| TaxEval (Vals AI) | 75.7% | 80.4% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 66.3% | 65.4% | Kimi K3 |
| MedCode (Vals AI) | 49.4% | 49.4% | Kimi K3 |
| SimpleQA Verified | 50.6% | 60.3% | Muse Spark 1.2 |
| LMArena Text: science | 1508 | 1500 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1489 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1503 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1470 | 1484 | Muse Spark 1.2 |
| 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 | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1334 | 1312 | Kimi K3 |
| Design Arena: UI components | 1341 | 1298 | Kimi K3 |
| Design Arena: game dev | 1358 | 1301 | Kimi K3 |
| Design Arena: data viz | 1351 | 1334 | Kimi K3 |
| Design Arena: 3D | 1387 | 1301 | Kimi K3 |
| Design Arena: all code categories | 1360 | 1312 | Kimi K3 |
| Design Arena: SVG | 1302 | 1284 | Kimi K3 |
| Design Arena: ASCII art | Not measured | 1284 | Only Muse Spark 1.2 measured |
| LiveBench design | 77.2% | 67.1% | Kimi K3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1210
| Benchmark | Kimi K3 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only Kimi K3 measured |
| LiveBench data analysis | 78.7% | 76.5% | Kimi K3 |
| Public Benefits Bench (Vals AI) | 68.2% | 68.5% | Muse Spark 1.2 |
| SAGE (Vals AI) | 52.8% | 47.7% | Kimi K3 |
| MedScribe (Vals AI) | 88.0% | 90.1% | Muse Spark 1.2 |
| Vals Multimodal Index | 73.4% | 69.8% | Kimi K3 |
| Long context reasoning (AA-LCR) | 88.7% | 79.0% | Kimi K3 |
| DTBench | 91.2% | 94.7% | Muse Spark 1.2 |
| LMCA | 52.7% | 48.4% | Kimi K3 |
| Surface Evolver Bench | 95.0% | Not measured | Only Kimi K3 measured |
| Furniture assembly | 34.2% | Not measured | Only Kimi K3 measured |
| LMArena Text | 1476 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1485 | 1462 | Kimi K3 |
| LMArena Text: creative writing | 1457 | 1436 | Kimi K3 |
| LMArena Vision | Not measured | 1304 | Only Muse Spark 1.2 measured |
| LMArena Text: English | 1481 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1466 | 1476 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1529 | 1509 | Kimi K3 |
| LMArena Text: German | 1490 | Not measured | Only Kimi K3 measured |
| LMArena Text: Japanese | 1494 | Not measured | Only Kimi K3 measured |
| LMArena Text: Korean | 1460 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1492 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1472 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1485 | 1483 | Kimi K3 |
| LMArena Text: Polish | 1458 | Not measured | Only Kimi K3 measured |
| LMArena Text: multi-turn | 1489 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1494 | 1473 | Kimi K3 |
| LMArena Text: writing and language | 1471 | 1453 | Kimi K3 |
| LMArena Text: entertainment and media | 1453 | 1443 | Kimi K3 |
| LMArena Vision: English | Not measured | 1291 | Only Muse Spark 1.2 measured |
| LMArena Vision: reading text | Not measured | 1313 | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3 | 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
Muse Spark 1.2 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.2 costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.2 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 K3 | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | Open weights | No public weights listed |
| Released | July 16, 2026 | August 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $3.00 | $1.25 |
| Output $/Mtok | $15.00 | $4.25 |
| Coding index | 62.3 | 55.7 |
| Independent measurements behind it | 6 | 5 |
| Cost per solved task | $0.81 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3 better than Muse Spark 1.2 for coding?
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 55.7 for Muse Spark 1.2. Pick Muse Spark 1.2 for output tokens 3.5x cheaper ($4.25 vs $15.00 per million) and a lower cost per solved task ($0.64 against $0.81).
Which is cheaper, Kimi K3 or Muse Spark 1.2?
Kimi K3 costs $3.00 per million input tokens and $15.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Kimi K3 costs $0.81 and Muse Spark 1.2 $0.64.
Which has the bigger context window, Kimi K3 or Muse Spark 1.2?
Neither: both take 1.05M tokens.
How many benchmarks is the Kimi K3 vs Muse Spark 1.2 comparison based on?
90 benchmarks have a result for both models as of October 22, 2026. Kimi K3's coding index rests on 6 independent benchmarks and Muse Spark 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.