Kimi K3.1 Pro vs Muse Ember
Kimi K3.1 Pro leads Muse Ember on coding, 79.0 to 64.9 on the Vibe Coding Index, and Muse Ember costs 20.0x less per output token ($0.50 vs $10.00 per million). Updated November 14, 2026; 15 benchmarks have a result for both.
Kimi K3.1 Pro or Muse Ember: which to pick
Pick Kimi K3.1 Pro for coding: it scores 79.0 on the Vibe Coding Index against 64.9 for Muse Ember.
Pick Muse Ember for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and work measured by FrontierCode 2.0 or Tax Agent Bench (Vals AI), where it leads.
- Shared results
- 15
- Kimi K3.1 Pro only
- 64
- Muse Ember only
- 0
- Like-for-like categories
- 5 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 K3.1 Pro
Kimi K3.1 Pro scores 79.0 against 64.9.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Kimi K3.1 Pro has a AA Intelligence Index result, 46.5.
Directional only
Web design
Design Arena: websites
No call
Only Kimi K3.1 Pro has a Design Arena: websites result, 1321.
Directional only
General
Vals Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 62.5% against 60.5%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Kimi K3.1 Pro $0.0070, Muse Ember $0.0003 per turn.
List prices
At a glance
- Coding index
- Kimi K3.1 Pro 79.0 from 4 benchmarks, Muse Ember 64.9 from 3 benchmarks.
- Widest category
- Reasoning, 11.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Kimi K3.1 Pro 63.6% against Muse Ember 39.4%, 32.3 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against Muse Ember $0.50 per million output tokens, 20.0x 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 K3.1 Pro | Bars | Muse Ember | Ties |
|---|---|---|---|---|
| Coding | 6 | 1 | ||
| Agentic work | 1 | 3 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 11 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| LiveBench coding | 67.8% | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev | 1687 | 1609 | Kimi K3.1 Pro |
| Terminal-Bench 4 (Vals AI) | 63.6% | 39.4% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.9% | 83.7% | Kimi K3.1 Pro |
| IOI (Vals AI) | 81.9% | Not measured | Only Kimi K3.1 Pro measured |
| SciCode | 60.8% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 67.2% | 40.9% | Kimi K3.1 Pro |
| FrontierCode 2.0 | 25.5% | 27.2% | Muse Ember |
| ALE-Bench | 1932.8 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: coding | 1480 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: software and IT | 1482 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev: React | 1699 | 1616 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1689 | 1621 | Kimi K3.1 Pro |
| GameBench 2 | 84.0 | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench 4.0 | 60.9% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.5 | Not measured | Only Kimi K3.1 Pro measured |
| Epoch Capabilities Index | 161.4 | Not measured | Only Kimi K3.1 Pro measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1312 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: agents building full-stack apps | 1321 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: agents building mobile apps | 1268 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: agents building Android apps | 1147 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: PowerPoint slides | 1278 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: spreadsheets | 1326 | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench research | 82.1% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench browser | 75.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench long agentic | 38.7% | Not measured | Only Kimi K3.1 Pro measured |
| SREBench (Vals AI) | 27.1% | Not measured | Only Kimi K3.1 Pro measured |
| Tax Agent Bench (Vals AI) | 24.9% | 38.2% | Muse Ember |
| Legal Research Bench (Vals AI) | 37.5% | 49.0% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | 25.0% | Muse Ember |
| BioMysteryBench (Vals AI) | 75.6% | Not measured | Only Kimi K3.1 Pro measured |
| Terminal-Bench-Science (Vals AI) | 31.4% | Not measured | Only Kimi K3.1 Pro measured |
| Vals Science Index | 44.4% | Not measured | Only Kimi K3.1 Pro measured |
| APEX-Agents | 65.5% | 64.3% | Kimi K3.1 Pro |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.1% | Not measured | Only Kimi K3.1 Pro measured |
| MysteryMechanism (Vals AI) | 26.1% | Not measured | Only Kimi K3.1 Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | Not measured | Only Kimi K3.1 Pro measured |
| HLE-Diamond (Artificial Analysis run) | 37.3% | 25.1% | Kimi K3.1 Pro |
| CritPt v2, hard subset (Artificial Analysis run) | 49.5% | 39.0% | Kimi K3.1 Pro |
| LMArena Text: hard prompts | 1471 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: expert | 1489 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: hard prompts in English | 1486 | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| ProofBench | 91.0% | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: mathematical work | 1451 | Not measured | Only Kimi K3.1 Pro measured |
| MathArena | 54.3% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| AA-Omniscience | 29.9 | 7.7 | Kimi K3.1 Pro |
| LMArena Text: science | 1464 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: medicine and healthcare | 1413 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: legal and government | 1495 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: business and finance | 1472 | Not measured | Only Kimi K3.1 Pro measured |
| PRBench Finance | 47.5% | Not measured | Only Kimi K3.1 Pro measured |
| PRBench Legal | 47.9% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: websites | 1321 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: UI components | 1389 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: game dev | 1404 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: data viz | 1298 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: 3D | 1442 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: all code categories | 1350 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: SVG | 1329 | Not measured | Only Kimi K3.1 Pro measured |
| Design Arena: ASCII art | 1301 | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench design | 73.7% | Not measured | Only Kimi K3.1 Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | Muse Ember | Leader |
|---|---|---|---|
| Vals Index | 62.5% | 60.5% | Kimi K3.1 Pro |
| LiveBench data analysis | 79.1% | Not measured | Only Kimi K3.1 Pro measured |
| Long context reasoning (AA-LCR) | 86.3% | Not measured | Only Kimi K3.1 Pro measured |
| GDPval-AA | 1861 | Not measured | Only Kimi K3.1 Pro measured |
| DTBench | 93.3% | Not measured | Only Kimi K3.1 Pro measured |
| LMCA | 57.6% | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text | 1459 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: instruction following | 1472 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: creative writing | 1439 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: English | 1466 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: non-English | 1450 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: Chinese | 1516 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: Spanish | 1503 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: Russian | 1452 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: multi-turn | 1449 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: longer queries | 1468 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: writing and language | 1458 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: entertainment and media | 1460 | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 31 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | 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 K3.1 Pro | Meta Muse Ember |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | Open weights | No public weights listed |
| Released | October 23, 2026 | November 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.10 |
| Output $/Mtok | $10.00 | $0.50 |
| Coding index | 79.0 | 64.9 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than Muse Ember for coding?
Pick Kimi K3.1 Pro for coding: it scores 79.0 on the Vibe Coding Index against 64.9 for Muse Ember. Pick Muse Ember for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and work measured by FrontierCode 2.0 or Tax Agent Bench (Vals AI), where it leads.
Which is cheaper, Kimi K3.1 Pro or Muse Ember?
Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens; Muse Ember costs $0.10 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Kimi K3.1 Pro or Muse Ember?
Neither: both take 1.05M tokens.
How many benchmarks is the Kimi K3.1 Pro vs Muse Ember comparison based on?
15 benchmarks have a result for both models as of November 14, 2026. Kimi K3.1 Pro'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.