Gemini 4 Argon vs Muse Ember
Gemini 4 Argon leads Muse Ember on coding, 80.3 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.
vs boards won of 15 shared
Gemini 4 Argon or Muse Ember: which to pick
Pick Gemini 4 Argon for coding: it scores 80.3 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 work measured by FrontierCode 2.0, where it leads.
Model AGemini 4 ArgonGoogle80.3/1005 independent benchmarksNo cost per solved taskModel BMuse EmberMeta64.9/1003 independent benchmarksNo cost per solved task
- Shared results
- 15
- Gemini 4 Argon only
- 109
- 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
Gemini 4 Argon
Gemini 4 Argon scores 80.3 against 64.9.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Gemini 4 Argon has a AA Intelligence Index result, 50.4.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 4 Argon has a Design Arena: websites result, 1316.
Directional only
General
Vals Index
Gemini 4 Argon
Gemini 4 Argon leads, 69.4% 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
Gemini 4 Argon $0.0070, Muse Ember $0.0003 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 80.3 from 5 benchmarks, Muse Ember 64.9 from 3 benchmarks.
- Widest category
- Reasoning, 23.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- HLE-Diamond (Artificial Analysis run): Gemini 4 Argon 56.7% against Muse Ember 25.1%, 31.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $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 | Gemini 4 Argon | Bars | Muse Ember | Ties |
|---|---|---|---|---|
| Coding | 6 | 1 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 14 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
| Benchmark | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| LiveBench coding | 85.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1681 | 1609 | Gemini 4 Argon |
| Terminal-Bench 4 (Vals AI) | 57.6% | 39.4% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 83.7% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | Not measured | Only Gemini 4 Argon measured |
| ProgramBench (Vals AI) | 2.5% | Not measured | Only Gemini 4 Argon measured |
| IOI (Vals AI) | 100.0% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | Not measured | Only Gemini 4 Argon measured |
| SWE-bench Multimodal (Vals AI) | 56.0% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | 77.9% | Not measured | Only Gemini 4 Argon measured |
| SciCode | 61.8% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 57.1% | 40.9% | Gemini 4 Argon |
| FrontierCode 2.0 | 25.7% | 27.2% | Muse Ember |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: coding | 1540 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: software and IT | 1542 | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev: React | 1702 | 1616 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1657 | 1621 | Gemini 4 Argon |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| SWE-Bench Pro V2 | 99.2% | Not measured | Only Gemini 4 Argon measured |
| GameBench 2 | 89.2 | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 4.0 | 54.9% | Not measured | Only Gemini 4 Argon measured |
| CursorBench 4.0 | 52.9% | Not measured | Only Gemini 4 Argon 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 | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| AA Intelligence Index | 50.4 | Not measured | Only Gemini 4 Argon measured |
| Epoch Capabilities Index | 166.5 | Not measured | Only Gemini 4 Argon measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1284 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: agents building games | 1264 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: spreadsheets | 1159 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 86.8% | Not measured | Only Gemini 4 Argon measured |
| LiveBench browser | 82.8% | Not measured | Only Gemini 4 Argon measured |
| LiveBench long agentic | 58.5% | Not measured | Only Gemini 4 Argon measured |
| SREBench (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | 65.4% | Not measured | Only Gemini 4 Argon measured |
| Tax Agent Bench (Vals AI) | 49.2% | 38.2% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 49.0% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | 25.0% | Gemini 4 Argon |
| Excel Modeling Benchmark (Vals AI) | 75.2% | Not measured | Only Gemini 4 Argon measured |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Vals Science Index | 55.4% | Not measured | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| APEX-Agents | 82.4% | 64.3% | Gemini 4 Argon |
| Remote Labor Index | 17.1% | Not measured | Only Gemini 4 Argon measured |
| PostTrainBench | 40.4% | Not measured | Only Gemini 4 Argon measured |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| MCP Atlas | 90.7% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | Not measured | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | Not measured | Only Gemini 4 Argon measured |
| HLE-Diamond (Artificial Analysis run) | 56.7% | 25.1% | Gemini 4 Argon |
| CritPt v2, hard subset (Artificial Analysis run) | 53.5% | 39.0% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI-2 | 91.3% | Not measured | Only Gemini 4 Argon measured |
| SimpleBench | 91.7% | Not measured | Only Gemini 4 Argon measured |
| Chess puzzles | 59.0% | Not measured | Only Gemini 4 Argon measured |
| Mystery game puzzles | 64.0% | Not measured | Only Gemini 4 Argon measured |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1542 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: expert | 1555 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts in English | 1540 | Not measured | Only Gemini 4 Argon measured |
| Humanity's Last Exam (Scale run) | 53.2% | Not measured | Only Gemini 4 Argon measured |
| GoBench | 2352 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | 78.0% | Not measured | Only Gemini 4 Argon measured |
| ProofBench | 99.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: math | 1544 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: mathematical work | 1551 | Not measured | Only Gemini 4 Argon measured |
| MathArena | 62.1% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | Not measured | Only Gemini 4 Argon measured |
| AA-Omniscience | 46.1 | 7.7 | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1546 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: medicine and healthcare | 1527 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: legal and government | 1541 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: business and finance | 1519 | Not measured | Only Gemini 4 Argon measured |
| FACTS Benchmark Suite | 72.4% | Not measured | Only Gemini 4 Argon measured |
| PRBench Finance | 49.9% | Not measured | Only Gemini 4 Argon measured |
| PRBench Legal | 49.4% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: websites | 1316 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: UI components | 1331 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: game dev | 1361 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: data viz | 1327 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: 3D | 1353 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: all code categories | 1326 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: SVG | 1338 | Not measured | Only Gemini 4 Argon measured |
| LiveBench design | 69.2% | Not measured | Only Gemini 4 Argon 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 | Gemini 4 Argon | Muse Ember | Leader |
|---|---|---|---|
| Vals Index | 69.4% | 60.5% | Gemini 4 Argon |
| LiveBench data analysis | 85.2% | Not measured | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 89.5% | Not measured | Only Gemini 4 Argon measured |
| MedScribe (Vals AI) | 87.4% | Not measured | Only Gemini 4 Argon measured |
| Long context reasoning (AA-LCR) | 79.7% | Not measured | Only Gemini 4 Argon measured |
| GDPval-AA | 1634 | Not measured | Only Gemini 4 Argon measured |
| DTBench | 97.6% | Not measured | Only Gemini 4 Argon measured |
| LMCA | 63.7% | Not measured | Only Gemini 4 Argon measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1529 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: instruction following | 1536 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: creative writing | 1533 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: English | 1529 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: non-English | 1523 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Chinese | 1605 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: German | 1582 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Japanese | 1532 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Korean | 1501 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: French | 1553 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | 1508 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1539 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Polish | 1537 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: multi-turn | 1548 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: longer queries | 1547 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: writing and language | 1532 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: entertainment and media | 1522 | Not measured | Only Gemini 4 Argon measured |
| MultiChallenge | 78.7% | Not measured | Only Gemini 4 Argon measured |
| EQ-Bench 4 | 1236 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | 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
Gemini 4 Argon$0.0070Fits in one request
Muse Ember$0.0003Fits in one request
Muse Ember costs less
Repository review
50K input + 3K output tokens
Gemini 4 Argon$0.130Fits in one request
Muse Ember$0.0065Fits in one request
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Argon$0.500Fits in one request
Muse Ember$0.025Fits in one request
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 | Google Gemini 4 Argon | Meta Muse Ember |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | November 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.10 |
| Output $/Mtok | $10.00 | $0.50 |
| Coding index | 80.3 | 64.9 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than Muse Ember for coding?
Pick Gemini 4 Argon for coding: it scores 80.3 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 work measured by FrontierCode 2.0, where it leads.
Which is cheaper, Gemini 4 Argon or Muse Ember?
Gemini 4 Argon 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, Gemini 4 Argon or Muse Ember?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 4 Argon vs Muse Ember comparison based on?
15 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Argon'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.