Kimi K2.7 Code vs Muse Spark Open
Kimi K2.7 Code leads Muse Spark Open on coding, 53.4 to 47.4 on the Vibe Coding Index, at about the same output price ($4.00 vs $4.25 per million). Updated October 22, 2026; 14 benchmarks have a result for both.
Kimi K2.7 Code or Muse Spark Open: which to pick
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 47.4 for Muse Spark Open.
Pick Muse Spark Open for a larger context window (1.05M against 262K tokens) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 14
- Kimi K2.7 Code only
- 37
- Muse Spark Open only
- 14
- Like-for-like categories
- 6 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 K2.7 Code
Kimi K2.7 Code scores 53.4 against 47.4.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Kimi K2.7 Code has a AA Intelligence Index result, 25.8.
Directional only
Agentic work
AA Agentic Index
No call
Only Kimi K2.7 Code has a AA Agentic Index result, 21.0.
Directional only
Web design
Design Arena: websites
Muse Spark Open
Muse Spark Open leads, 1310 against 1263.
Same board, both measured
General
Vals Index
No call
Only Muse Spark Open has a Vals Index result, 48.6%.
Directional only
Long documents
Listed context window
Muse Spark Open
Muse Spark Open takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
Kimi K2.7 Code $0.0029, Muse Spark Open $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.7 Code has the number, $0.35.
Directional only
At a glance
- Coding index
- Kimi K2.7 Code 53.4 from 4 benchmarks, Muse Spark Open 47.4 from 4 benchmarks.
- Widest category
- Coding, 13.1 points apart on average over 7 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against Muse Spark Open 76.2%, 29.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.7 Code $4.00 against Muse Spark Open $4.25 per million output tokens, 1.1x apart.
- Context window
- Kimi K2.7 Code takes 262K tokens, Muse Spark Open 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 K2.7 Code | Bars | Muse Spark Open | Ties |
|---|---|---|---|---|
| Coding | 1 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 1 | ||
| Web design | 0 | 2 | ||
| General | 1 | 0 | ||
| All shared boards | 4 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 73.6% | Only Muse Spark Open measured |
| LMArena WebDev | 1474 | 1528 | Muse Spark Open |
| AA Coding Index | 60.8 | Not measured | Only Kimi K2.7 Code measured |
| LiveCodeBench (Vals AI) | 82.0% | Not measured | Only Kimi K2.7 Code measured |
| SWE-bench Verified (Vals AI) | 78.2% | Not measured | Only Kimi K2.7 Code measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 6.6% | Only Muse Spark Open measured |
| Vibe Code Bench (Vals AI) | 47.2% | 76.2% | Muse Spark Open |
| Code migration (Vals AI) | 25.4% | 21.2% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Kimi K2.7 Code measured |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | Not measured | Only Kimi K2.7 Code measured |
| SkillsBench (Vals AI) | 50.0% | Not measured | Only Kimi K2.7 Code measured |
| SciCode | 47.8% | 58.4% | Muse Spark Open |
| Terminal-Bench Hard (Artificial Analysis run) | 44.7% | Not measured | Only Kimi K2.7 Code measured |
| FrontierCode | 30.1% | Not measured | Only Kimi K2.7 Code measured |
| WeirdML | 54.1% | Not measured | Only Kimi K2.7 Code measured |
| ALE-Bench | 886.2 | 1590.1 | Muse Spark Open |
| LMArena WebDev: React | 1475 | 1529 | Muse Spark Open |
| LMArena WebDev: HTML | 1451 | 1495 | Muse Spark Open |
| LMArena WebDev: from an image | 1513 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.8 | Not measured | Only Kimi K2.7 Code measured |
| Epoch Capabilities Index | 150.1 | 155.1 | Muse Spark Open |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| AA Agentic Index | 21.0 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | 1176 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | 1175 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | 1143 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | 1138 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | 1147 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1130 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | 1151 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | 1129 | Not measured | Only Kimi K2.7 Code measured |
| LiveBench research | Not measured | 80.3% | Only Muse Spark Open measured |
| LiveBench browser | Not measured | 36.0% | Only Muse Spark Open measured |
| LiveBench long agentic | Not measured | 18.9% | Only Muse Spark Open measured |
| Finance Agent (Vals AI) | Not measured | 61.3% | Only Muse Spark Open measured |
| Tax Agent Bench (Vals AI) | Not measured | 26.3% | Only Muse Spark Open measured |
| Legal Research Bench (Vals AI) | Not measured | 38.5% | Only Muse Spark Open measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 25.0% | Only Muse Spark Open measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 53.7% | Only Muse Spark Open measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Kimi K2.7 Code measured |
| APEX-Agents | 37.6% | 33.4% | Kimi K2.7 Code |
| Vending-Bench 2 | $5,083 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 73.7% | Only Muse Spark Open measured |
| GPQA Diamond (Artificial Analysis run) | 89.6% | 89.0% | Kimi K2.7 Code |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 43.9% | Muse Spark Open |
| GPQA Diamond (Epoch AI run) | 87.9% | Not measured | Only Kimi K2.7 Code measured |
| SimpleBench | 57.9% | Not measured | Only Kimi K2.7 Code measured |
| Chess puzzles | 14.0% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | Not measured | Only Kimi K2.7 Code measured |
| FrontierMath, tiers 1 to 3 | 54.0% | Not measured | Only Kimi K2.7 Code measured |
| FrontierMath, tier 4 | 12.2% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| SimpleQA Verified | 36.5% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 17 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| Design Arena: websites | 1263 | 1310 | Muse Spark Open |
| Design Arena: UI components | 1255 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: game dev | 1220 | 1282 | Muse Spark Open |
| Design Arena: data viz | 1227 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: 3D | 1240 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: all code categories | 1252 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: SVG | 1176 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: ASCII art | 1196 | Not measured | Only Kimi K2.7 Code measured |
| LiveBench design | Not measured | 60.3% | Only Muse Spark Open measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2.7 Code | Muse Spark Open | Leader |
|---|---|---|---|
| Vals Index | Not measured | 48.6% | Only Muse Spark Open measured |
| LiveBench data analysis | Not measured | 60.2% | Only Muse Spark Open measured |
| IFBench | 63.1% | Not measured | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 79.3% | 78.3% | Kimi K2.7 Code |
| Surface Evolver Bench | 48.8% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 41 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Spark Open | 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 K2.7 Code costs less
Repository review
50K input + 3K output tokens
Kimi K2.7 Code costs less
Agent loop
200K input + 10K output tokens
Kimi K2.7 Code 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 K2.7 Code | Meta Muse Spark Open |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | Open weights | Open weights |
| Released | June 12, 2026 | October 15, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.95 | $1.25 |
| Output $/Mtok | $4.00 | $4.25 |
| Coding index | 53.4 | 47.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | $0.35 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.7 Code better than Muse Spark Open for coding?
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 47.4 for Muse Spark Open. Pick Muse Spark Open for a larger context window (1.05M against 262K tokens) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Kimi K2.7 Code or Muse Spark Open?
Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for Kimi K2.7 Code only.
Which has the bigger context window, Kimi K2.7 Code or Muse Spark Open?
Muse Spark Open, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.7 Code vs Muse Spark Open comparison based on?
14 benchmarks have a result for both models as of October 22, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Muse Spark Open's on 4. Where only one model has a result, the page says so instead of naming a winner.