Kimi K2.7 Code vs Muse Ember
Muse Ember leads Kimi K2.7 Code on coding, 64.9 to 53.4 on the Vibe Coding Index, and Muse Ember costs 8.0x less per output token ($0.50 vs $4.00 per million). Updated November 14, 2026; 7 benchmarks have a result for both.
Kimi K2.7 Code or Muse Ember: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code, though on 3 benchmarks against 4.
Kimi K2.7 Code is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 7
- Kimi K2.7 Code only
- 48
- Muse Ember only
- 8
- Like-for-like categories
- 3 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
Muse Ember
Muse Ember scores 64.9 against 53.4.
4 and 3 benchmarks behind the scores
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
No call
Only Kimi K2.7 Code has a Design Arena: websites result, 1258.
Directional only
General
Vals Index
No call
Only Muse Ember has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
Muse Ember
Muse Ember takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Kimi K2.7 Code $0.0029, Muse Ember $0.0003 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 Ember 64.9 from 3 benchmarks.
- Widest category
- Coding, 28.2 points apart on average over 5 shared benchmarks.
- Widest single gap
- Terminal-Bench 4.0 (Artificial Analysis run): Kimi K2.7 Code 1.0% against Muse Ember 40.9%, 39.9 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.7 Code $4.00 against Muse Ember $0.50 per million output tokens, 8.0x apart.
- Context window
- Kimi K2.7 Code takes 262K tokens, Muse Ember 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 Ember | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| All shared boards | 0 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| LMArena WebDev | 1474 | 1609 | Muse Ember |
| 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 | 39.4% | Only Muse Ember measured |
| Vibe Code Bench (Vals AI) | 47.2% | 83.7% | Muse Ember |
| Code migration (Vals AI) | 25.4% | Not measured | Only Kimi K2.7 Code measured |
| 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% | Not measured | Only Kimi K2.7 Code measured |
| Terminal-Bench Hard (Artificial Analysis run) | 44.7% | Not measured | Only Kimi K2.7 Code measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 1.0% | 40.9% | Muse Ember |
| FrontierCode 2.0 | Not measured | 27.2% | Only Muse Ember 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 | Not measured | Only Kimi K2.7 Code measured |
| LMArena WebDev: React | 1475 | 1616 | Muse Ember |
| LMArena WebDev: HTML | 1453 | 1621 | Muse Ember |
| LMArena WebDev: from an image | 1512 | Not measured | Only Kimi K2.7 Code measured |
| GameBench 2 | 33.2 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 151.2 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| AA Agentic Index | 21.0 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | 1153 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | 1150 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | 1134 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | 1130 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | 1125 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1074 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | 1097 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | 1119 | Not measured | Only Kimi K2.7 Code measured |
| Tax Agent Bench (Vals AI) | Not measured | 38.2% | Only Muse Ember measured |
| Legal Research Bench (Vals AI) | Not measured | 49.0% | Only Muse Ember measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 25.0% | Only Muse Ember measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Kimi K2.7 Code measured |
| APEX-Agents | 37.6% | 64.3% | Muse Ember |
| Vending-Bench 2 | $5,083 | Not measured | Only Kimi K2.7 Code measured |
| Toolathlon-Verified | 58.0% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 89.6% | Not measured | Only Kimi K2.7 Code measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | Not measured | Only Kimi K2.7 Code measured |
| HLE-Diamond (Artificial Analysis run) | 14.8% | 25.1% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | Not measured | 39.0% | Only Muse Ember measured |
| 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 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Ember | 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 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| AA-Omniscience | Not measured | 7.7 | Only Muse Ember measured |
| SimpleQA Verified | 36.5% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: UI components | 1251 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: game dev | 1210 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: data viz | 1220 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: 3D | 1219 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: all code categories | 1243 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: SVG | 1164 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: ASCII art | 1185 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Ember | Leader |
|---|---|---|---|
| Vals Index | Not measured | 60.5% | Only Muse Ember measured |
| IFBench | 63.1% | Not measured | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 79.3% | Not measured | Only Kimi K2.7 Code measured |
| GDPval-AA | 1046 | Not measured | Only Kimi K2.7 Code measured |
| Surface Evolver Bench | 48.8% | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.7 Code | Muse Ember | 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 Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | Open weights | No public weights listed |
| Released | June 12, 2026 | November 9, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.95 | $0.10 |
| Output $/Mtok | $4.00 | $0.50 |
| Coding index | 53.4 | 64.9 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $0.35 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.7 Code better than Muse Ember for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code, though on 3 benchmarks against 4. Kimi K2.7 Code is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Kimi K2.7 Code or Muse Ember?
Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Muse Ember costs $0.10 and $0.50. Cost per solved task is known for Kimi K2.7 Code only.
Which has the bigger context window, Kimi K2.7 Code or Muse Ember?
Muse Ember, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.7 Code vs Muse Ember comparison based on?
7 benchmarks have a result for both models as of November 14, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Muse Ember's on 3. Where only one model has a result, the page says so instead of naming a winner.