Claude Sonnet 5.5 vs Muse Ember
Claude Sonnet 5.5 leads Muse Ember on coding, 84.3 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.
Claude Sonnet 5.5 or Muse Ember: which to pick
Pick Claude Sonnet 5.5 for coding: it scores 84.3 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 a larger context window (1.05M against 1M tokens).
- Shared results
- 15
- Claude Sonnet 5.5 only
- 106
- 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
Claude Sonnet 5.5
Claude Sonnet 5.5 scores 84.3 against 64.9.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Claude Sonnet 5.5 has a AA Intelligence Index result, 54.5.
Directional only
Web design
Design Arena: websites
No call
Only Claude Sonnet 5.5 has a Design Arena: websites result, 1309.
Directional only
General
Vals Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 70.8% against 60.5%.
Same board, both measured
Long documents
Listed context window
Muse Ember
Muse Ember takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Claude Sonnet 5.5 $0.0070, Muse Ember $0.0003 per turn.
List prices
At a glance
- Coding index
- Claude Sonnet 5.5 84.3 from 5 benchmarks, Muse Ember 64.9 from 3 benchmarks.
- Widest category
- Reasoning, 24.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Claude Sonnet 5.5 64.1% against Muse Ember 39.4%, 33.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against Muse Ember $0.50 per million output tokens, 20.0x apart.
- Context window
- Claude Sonnet 5.5 takes 1M 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 | Claude Sonnet 5.5 | Bars | Muse Ember | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Agentic work | 2 | 2 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 13 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| LiveBench coding | 77.2% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena WebDev | 1772 | 1609 | Claude Sonnet 5.5 |
| Terminal-Bench 4 (Vals AI) | 64.1% | 39.4% | Claude Sonnet 5.5 |
| Vibe Code Bench (Vals AI) | 92.4% | 83.7% | Claude Sonnet 5.5 |
| Code migration (Vals AI) | 69.8% | Not measured | Only Claude Sonnet 5.5 measured |
| ProgramBench (Vals AI) | 6.5% | Not measured | Only Claude Sonnet 5.5 measured |
| IOI (Vals AI) | 83.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | Not measured | Only Claude Sonnet 5.5 measured |
| SWE-bench Multimodal (Vals AI) | 58.3% | Not measured | Only Claude Sonnet 5.5 measured |
| CyberBench (Vals AI) | 59.6% | Not measured | Only Claude Sonnet 5.5 measured |
| SciCode | 61.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 63.6% | 40.9% | Claude Sonnet 5.5 |
| FrontierCode 2.0 | 41.7% | 27.2% | Claude Sonnet 5.5 |
| FrontierCode | 52.1% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierSWE | 61.9% | Not measured | Only Claude Sonnet 5.5 measured |
| MirrorCode | 97.8% | Not measured | Only Claude Sonnet 5.5 measured |
| ALE-Bench | 1819.1 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: coding | 1501 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: software and IT | 1497 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena WebDev: React | 1822 | 1616 | Claude Sonnet 5.5 |
| LMArena WebDev: HTML | 1753 | 1621 | Claude Sonnet 5.5 |
| LMArena WebDev: from an image | 1744 | Not measured | Only Claude Sonnet 5.5 measured |
| SciCode | 13.8% | Not measured | Only Claude Sonnet 5.5 measured |
| SWE-Bench Pro V2 | 95.8% | Not measured | Only Claude Sonnet 5.5 measured |
| GameBench 2 | 91.4 | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench 4.0 | 61.8% | Not measured | Only Claude Sonnet 5.5 measured |
| CursorBench 4.0 | 55.5% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| AA Intelligence Index | 54.5 | Not measured | Only Claude Sonnet 5.5 measured |
| Epoch Capabilities Index | 166.6 | Not measured | Only Claude Sonnet 5.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1296 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: agents building mobile apps | 1259 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: agents building Android apps | 1250 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: spreadsheets | 1238 | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench research | 88.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench browser | 89.3% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench long agentic | 63.4% | Not measured | Only Claude Sonnet 5.5 measured |
| SREBench (Vals AI) | 30.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Finance Agent (Vals AI) | 58.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Tax Agent Bench (Vals AI) | 42.0% | 38.2% | Claude Sonnet 5.5 |
| Legal Research Bench (Vals AI) | 48.1% | 49.0% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | 25.0% | Muse Ember |
| Excel Modeling Benchmark (Vals AI) | 75.7% | Not measured | Only Claude Sonnet 5.5 measured |
| BioMysteryBench (Vals AI) | 81.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Vals Science Index | 59.1% | Not measured | Only Claude Sonnet 5.5 measured |
| APEX-Agents | 75.5% | 64.3% | Claude Sonnet 5.5 |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.6% | Not measured | Only Claude Sonnet 5.5 measured |
| MysteryMechanism (Vals AI) | 49.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | Not measured | Only Claude Sonnet 5.5 measured |
| HLE-Diamond (Artificial Analysis run) | 53.3% | 25.1% | Claude Sonnet 5.5 |
| CritPt v2, hard subset (Artificial Analysis run) | 59.0% | 39.0% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | Not measured | Only Claude Sonnet 5.5 measured |
| ARC-AGI | 96.5% | Not measured | Only Claude Sonnet 5.5 measured |
| ARC-AGI-2 | 83.9% | Not measured | Only Claude Sonnet 5.5 measured |
| SimpleBench | 75.9% | Not measured | Only Claude Sonnet 5.5 measured |
| Chess puzzles | 59.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Mystery game puzzles | 65.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: hard prompts | 1488 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: expert | 1508 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: hard prompts in English | 1494 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: diagrams | 1316 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: homework | 1322 | Not measured | Only Claude Sonnet 5.5 measured |
| Humanity's Last Exam (Scale run) | 37.5% | Not measured | Only Claude Sonnet 5.5 measured |
| GoBench | 2085 | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 8 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierMath, tiers 1 to 3 | 88.8% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierMath, tier 4 | 80.5% | Not measured | Only Claude Sonnet 5.5 measured |
| ProofBench | 100.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: math | 1483 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: mathematical work | 1501 | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 52.9% | Not measured | Only Claude Sonnet 5.5 measured |
| AA-Omniscience | 30.5 | 7.7 | Claude Sonnet 5.5 |
| SimpleQA Verified | 46.5% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: science | 1482 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: medicine and healthcare | 1466 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: legal and government | 1480 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: business and finance | 1465 | Not measured | Only Claude Sonnet 5.5 measured |
| FACTS Benchmark Suite | 58.7% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: UI components | 1389 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: game dev | 1387 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: data viz | 1359 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: 3D | 1400 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: all code categories | 1345 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: SVG | 1299 | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench design | 81.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Sonnet 5.5 | Muse Ember | Leader |
|---|---|---|---|
| Vals Index | 70.8% | 60.5% | Claude Sonnet 5.5 |
| LiveBench data analysis | 59.5% | Not measured | Only Claude Sonnet 5.5 measured |
| Public Benefits Bench (Vals AI) | 67.2% | Not measured | Only Claude Sonnet 5.5 measured |
| SAGE (Vals AI) | 88.0% | Not measured | Only Claude Sonnet 5.5 measured |
| MedScribe (Vals AI) | 91.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Long context reasoning (AA-LCR) | 82.7% | Not measured | Only Claude Sonnet 5.5 measured |
| GDPval-AA | 1838 | Not measured | Only Claude Sonnet 5.5 measured |
| DTBench | 97.3% | Not measured | Only Claude Sonnet 5.5 measured |
| LMCA | 68.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Furniture assembly | 75.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text | 1469 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: instruction following | 1487 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: creative writing | 1466 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision | 1284 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: English | 1479 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: non-English | 1455 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: Chinese | 1533 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: German | 1448 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: Japanese | 1456 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: Korean | 1413 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: French | 1494 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: Spanish | 1463 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: Russian | 1460 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: Polish | 1492 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: multi-turn | 1462 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: longer queries | 1487 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: writing and language | 1470 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: entertainment and media | 1454 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: English | 1282 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: Chinese | 1387 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: reading text | 1296 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: humor | 1266 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: creative writing | 1264 | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5.5 | 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 | Anthropic Claude Sonnet 5.5 | Meta Muse Ember |
|---|---|---|
| Maker | Anthropic | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | September 28, 2026 | November 9, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $0.10 |
| Output $/Mtok | $10.00 | $0.50 |
| Coding index | 84.3 | 64.9 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than Muse Ember for coding?
Pick Claude Sonnet 5.5 for coding: it scores 84.3 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 a larger context window (1.05M against 1M tokens).
Which is cheaper, Claude Sonnet 5.5 or Muse Ember?
Claude Sonnet 5.5 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, Claude Sonnet 5.5 or Muse Ember?
Muse Ember, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5.5 vs Muse Ember comparison based on?
15 benchmarks have a result for both models as of November 14, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and Muse Ember's on 3. Where only one model has a result, the page says so instead of naming a winner.