Muse Ember vs Hy4
Hy4 leads Muse Ember on coding, 65.2 to 64.9 on the Vibe Coding Index, and Muse Ember costs 2.5x less per output token ($0.50 vs $1.2505 per million). Updated November 14, 2026; 11 benchmarks have a result for both.
Muse Ember or Hy4: which to pick
Muse Ember and Hy4 are level for coding, 64.9 against 65.2 on the Vibe Coding Index, so price and context decide.
Pick Muse Ember for output tokens 2.5x cheaper ($0.50 vs $1.2505 per million) and work measured by Vibe Code Bench (Vals AI) or Terminal-Bench 4.0 (Artificial Analysis run), where it leads. Pick Hy4 for work measured by FrontierCode 2.0 or HLE-Diamond (Artificial Analysis run), where it leads.
- Shared results
- 11
- Muse Ember only
- 4
- Hy4 only
- 8
- 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
No call
Level: 64.9 against 65.2, inside 2 points.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Hy4 has a AA Intelligence Index result, 34.6.
Directional only
Web design
Design Arena: websites
No call
Only Hy4 has a Design Arena: websites result, 1251.
Directional only
General
Vals Index
Muse Ember
Muse Ember leads, 60.5% against 59.4%.
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
Muse Ember $0.0003, Hy4 $0.0010 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Hy4 65.2 from 2 benchmarks.
- Widest category
- Agentic work, 8.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- Harvey's Legal Agent Benchmark (Vals AI): Muse Ember 25.0% against Hy4 12.5%, 12.5 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against Hy4 $1.2505 per million output tokens, 2.5x 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 | Muse Ember | Bars | Hy4 | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | 1 tie | |
| Agentic work | 3 | 0 | ||
| Reasoning | 0 | 1 | 1 tie | |
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 7 | 2 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | Not measured | Only Muse Ember measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | 39.4% | Tie |
| Vibe Code Bench (Vals AI) | 83.7% | 81.0% | Muse Ember |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 37.4% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 31.4% | Hy4 |
| LMArena WebDev: React | 1616 | Not measured | Only Muse Ember measured |
| LMArena WebDev: HTML | 1621 | Not measured | Only Muse Ember measured |
| GameBench 2 | Not measured | 48.7 | Only Hy4 measured |
| Terminal-Bench 4.0 | Not measured | 39.1% | Only Hy4 measured |
| Neither model has a result on the other 43 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 34.6 | Only Hy4 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| Tax Agent Bench (Vals AI) | 38.2% | 34.4% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 41.4% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 12.5% | Muse Ember |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| HLE-Diamond (Artificial Analysis run) | 25.1% | 32.7% | Hy4 |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 39.0% | Tie |
| Neither model has a result on the other 24 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| AA-Omniscience | 7.7 | 5.4 | Muse Ember |
| Neither model has a result on the other 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1251 | Only Hy4 measured |
| Design Arena: UI components | Not measured | 1197 | Only Hy4 measured |
| Design Arena: game dev | Not measured | 1271 | Only Hy4 measured |
| Design Arena: 3D | Not measured | 1251 | Only Hy4 measured |
| Design Arena: all code categories | Not measured | 1254 | Only Hy4 measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Hy4 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 59.4% | Muse Ember |
| Neither model has a result on the other 48 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Hy4 | 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 | Meta Muse Ember | Tencent Hy4 |
|---|---|---|
| Maker | Meta | Tencent |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | November 4, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.417 |
| Output $/Mtok | $0.50 | $1.2505 |
| Coding index | 64.9 | 65.2 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Hy4 for coding?
Muse Ember and Hy4 are level for coding, 64.9 against 65.2 on the Vibe Coding Index, so price and context decide. Pick Muse Ember for output tokens 2.5x cheaper ($0.50 vs $1.2505 per million) and work measured by Vibe Code Bench (Vals AI) or Terminal-Bench 4.0 (Artificial Analysis run), where it leads. Pick Hy4 for work measured by FrontierCode 2.0 or HLE-Diamond (Artificial Analysis run), where it leads.
Which is cheaper, Muse Ember or Hy4?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or Hy4?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs Hy4 comparison based on?
11 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.