Gemini 4 Carbon vs Muse Spark 1.2
Gemini 4 Carbon leads Muse Spark 1.2 on coding, 86.6 to 50.9 on the Vibe Coding Index, and Muse Spark 1.2 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated November 14, 2026; 44 benchmarks have a result for both.
vs boards won of 44 shared
Gemini 4 Carbon or Muse Spark 1.2: which to pick
Pick Gemini 4 Carbon for coding: it scores 86.6 on the Vibe Coding Index against 50.9 for Muse Spark 1.2.
Pick Muse Spark 1.2 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million).
Model AGemini 4 CarbonGoogle86.6/1004 independent benchmarksNo cost per solved taskModel BMuse Spark 1.2Meta50.9/1004 independent benchmarks$0.64 per solved task
- Shared results
- 44
- Gemini 4 Carbon only
- 29
- Muse Spark 1.2 only
- 53
- Like-for-like categories
- 8 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 Carbon
Gemini 4 Carbon scores 86.6 against 50.9.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Gemini 4 Carbon has a AA Intelligence Index result, 60.0.
Directional only
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.2 has a AA Agentic Index result, 43.2.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.2 has a MMLU Pro result, 88.3%.
Directional only
Web design
Design Arena: websites
Gemini 4 Carbon
Gemini 4 Carbon leads, 1319 against 1309.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Carbon has a Vals Index result, 70.5%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.2
Gemini 4 Carbon $0.0070, Muse Spark 1.2 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.2 has the number, $0.64.
Directional only
At a glance
- Coding index
- Gemini 4 Carbon 86.6 from 4 benchmarks, Muse Spark 1.2 50.9 from 4 benchmarks.
- Widest category
- Coding, 29.6 points apart on average over 9 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Gemini 4 Carbon 63.1% against Muse Spark 1.2 6.1%, 76.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Carbon $10.00 against Muse Spark 1.2 $4.25 per million output tokens, 2.4x 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 Carbon | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 1 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 5 | 0 | ||
| General | 13 | 0 | ||
| All shared boards | 44 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench coding | 91.0% | Not measured | Only Gemini 4 Carbon measured |
| LMArena WebDev | 1768 | 1534 | Gemini 4 Carbon |
| AA Coding Index | Not measured | 72.2 | Only Muse Spark 1.2 measured |
| SWE-bench Verified (Vals AI) | Not measured | 86.6% | Only Muse Spark 1.2 measured |
| Terminal-Bench 4 (Vals AI) | 63.1% | 6.1% | Gemini 4 Carbon |
| Vibe Code Bench (Vals AI) | 89.1% | 79.1% | Gemini 4 Carbon |
| Code migration (Vals AI) | Not measured | 29.9% | Only Muse Spark 1.2 measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Muse Spark 1.2 measured |
| IOI (Vals AI) | Not measured | 21.8% | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 69.7% | Only Muse Spark 1.2 measured |
| SkillsBench (Vals AI) | Not measured | 53.0% | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | Not measured | 69.5% | Only Muse Spark 1.2 measured |
| SciCode | Not measured | 57.4% | Only Muse Spark 1.2 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 65.2% | 7.1% | Gemini 4 Carbon |
| FrontierCode 2.0 | 40.6% | Not measured | Only Gemini 4 Carbon measured |
| FrontierSWE | 61.2% | 12.0% | Gemini 4 Carbon |
| WeirdML | Not measured | 60.3% | Only Muse Spark 1.2 measured |
| ALE-Bench | 2374.7 | Not measured | Only Gemini 4 Carbon measured |
| LMArena Text: coding | 1564 | 1506 | Gemini 4 Carbon |
| LMArena Text: software and IT | 1552 | 1506 | Gemini 4 Carbon |
| LMArena WebDev: React | 1792 | 1525 | Gemini 4 Carbon |
| LMArena WebDev: HTML | 1770 | 1542 | Gemini 4 Carbon |
| GameBench 2 | Not measured | 57.3 | Only Muse Spark 1.2 measured |
| CursorBench 4.0 | 60.4% | Not measured | Only Gemini 4 Carbon measured |
| ProgramBench | Not measured | 0.0% | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 60.0 | Not measured | Only Gemini 4 Carbon measured |
| Epoch Capabilities Index | 169.8 | 155.0 | Gemini 4 Carbon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 43.2 | Only Muse Spark 1.2 measured |
| Design Arena: agents building web apps | Not measured | 1199 | Only Muse Spark 1.2 measured |
| Design Arena: agents building full-stack apps | Not measured | 1184 | Only Muse Spark 1.2 measured |
| Design Arena: agents building mobile apps | 1284 | 1173 | Gemini 4 Carbon |
| Design Arena: agents building Android apps | Not measured | 1210 | Only Muse Spark 1.2 measured |
| Design Arena: agents building games | Not measured | 1122 | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | Not measured | 1028 | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | Not measured | 1159 | Only Muse Spark 1.2 measured |
| Design Arena: spreadsheets | 1224 | 1016 | Gemini 4 Carbon |
| LiveBench research | 92.5% | Not measured | Only Gemini 4 Carbon measured |
| LiveBench browser | 80.0% | Not measured | Only Gemini 4 Carbon measured |
| LiveBench long agentic | 72.7% | Not measured | Only Gemini 4 Carbon measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | Not measured | 60.6% | Only Muse Spark 1.2 measured |
| Tax Agent Bench (Vals AI) | 51.8% | 32.8% | Gemini 4 Carbon |
| Legal Research Bench (Vals AI) | 55.8% | 43.8% | Gemini 4 Carbon |
| Harvey's Legal Agent Benchmark (Vals AI) | 17.5% | Not measured | Only Gemini 4 Carbon measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.0% | Only Muse Spark 1.2 measured |
| BioMysteryBench (Vals AI) | Not measured | 64.8% | Only Muse Spark 1.2 measured |
| APEX-Agents | 84.2% | 45.4% | Gemini 4 Carbon |
| Vending-Bench 2 | $16,484 | Not measured | Only Gemini 4 Carbon measured |
| Toolathlon-Verified | Not measured | 75.9% | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench reasoning | 90.6% | Not measured | Only Gemini 4 Carbon measured |
| MMMU Pro (Vals AI) | Not measured | 86.1% | Only Muse Spark 1.2 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.4% | Only Muse Spark 1.2 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 45.5% | Only Muse Spark 1.2 measured |
| HLE-Diamond (Artificial Analysis run) | 69.1% | Not measured | Only Gemini 4 Carbon measured |
| CritPt v2, hard subset (Artificial Analysis run) | 69.0% | Not measured | Only Gemini 4 Carbon measured |
| GPQA Diamond (Epoch AI run) | 96.5% | Not measured | Only Gemini 4 Carbon measured |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Carbon measured |
| ARC-AGI-2 | 94.2% | Not measured | Only Gemini 4 Carbon measured |
| SimpleBench | 92.6% | 74.5% | Gemini 4 Carbon |
| Chess puzzles | 78.0% | 27.0% | Gemini 4 Carbon |
| Mystery game puzzles | 73.0% | Not measured | Only Gemini 4 Carbon measured |
| EBR-bench | 87.6% | Not measured | Only Gemini 4 Carbon measured |
| LMArena Text: hard prompts | 1551 | 1492 | Gemini 4 Carbon |
| LMArena Text: expert | 1582 | 1486 | Gemini 4 Carbon |
| LMArena Text: hard prompts in English | 1545 | 1489 | Gemini 4 Carbon |
| LMArena Vision: diagrams | Not measured | 1314 | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Gemini 4 Carbon measured |
| FrontierMath, tiers 1 to 3 | 90.5% | Not measured | Only Gemini 4 Carbon measured |
| FrontierMath, tier 4 | 95.1% | Not measured | Only Gemini 4 Carbon measured |
| ProofBench | Not measured | 43.0% | Only Muse Spark 1.2 measured |
| LMArena Text: math | Not measured | 1478 | Only Muse Spark 1.2 measured |
| LMArena Text: mathematical work | 1538 | 1477 | Gemini 4 Carbon |
| MathArena | 85.4% | Not measured | Only Gemini 4 Carbon measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.3% | Only Muse Spark 1.2 measured |
| LegalBench (Vals AI) | Not measured | 85.3% | Only Muse Spark 1.2 measured |
| CorpFin (Vals AI) | Not measured | 70.9% | Only Muse Spark 1.2 measured |
| TaxEval (Vals AI) | Not measured | 80.4% | Only Muse Spark 1.2 measured |
| MortgageTax (Vals AI) | Not measured | 65.4% | Only Muse Spark 1.2 measured |
| MedCode (Vals AI) | Not measured | 49.4% | Only Muse Spark 1.2 measured |
| AA-Omniscience | 53.5 | Not measured | Only Gemini 4 Carbon measured |
| SimpleQA Verified | 77.7% | 60.3% | Gemini 4 Carbon |
| LMArena Text: science | 1535 | 1502 | Gemini 4 Carbon |
| LMArena Text: medicine and healthcare | 1525 | 1490 | Gemini 4 Carbon |
| LMArena Text: legal and government | 1542 | 1505 | Gemini 4 Carbon |
| LMArena Text: business and finance | 1520 | 1484 | Gemini 4 Carbon |
| FACTS Benchmark Suite | 78.4% | Not measured | Only Gemini 4 Carbon measured |
| PRBench Legal | 53.3% | Not measured | Only Gemini 4 Carbon measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1319 | 1309 | Gemini 4 Carbon |
| Design Arena: UI components | 1357 | 1299 | Gemini 4 Carbon |
| Design Arena: game dev | 1326 | 1294 | Gemini 4 Carbon |
| Design Arena: data viz | Not measured | 1329 | Only Muse Spark 1.2 measured |
| Design Arena: 3D | 1434 | 1283 | Gemini 4 Carbon |
| Design Arena: all code categories | 1348 | 1306 | Gemini 4 Carbon |
| Design Arena: SVG | Not measured | 1272 | Only Muse Spark 1.2 measured |
| Design Arena: ASCII art | Not measured | 1277 | Only Muse Spark 1.2 measured |
| LiveBench design | 80.2% | Not measured | Only Gemini 4 Carbon measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Vals Index | 70.5% | Not measured | Only Gemini 4 Carbon measured |
| LiveBench data analysis | 86.5% | Not measured | Only Gemini 4 Carbon measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.5% | Only Muse Spark 1.2 measured |
| MedScribe (Vals AI) | Not measured | 90.1% | Only Muse Spark 1.2 measured |
| Vals Multimodal Index | Not measured | 69.8% | Only Muse Spark 1.2 measured |
| Long context reasoning (AA-LCR) | 79.3% | 79.0% | Gemini 4 Carbon |
| GDPval-AA | 1733 | 1478 | Gemini 4 Carbon |
| DTBench | Not measured | 94.7% | Only Muse Spark 1.2 measured |
| LMCA | Not measured | 48.4% | Only Muse Spark 1.2 measured |
| Furniture assembly | 77.5% | Not measured | Only Gemini 4 Carbon measured |
| LMArena Text | 1538 | 1483 | Gemini 4 Carbon |
| LMArena Text: instruction following | 1539 | 1469 | Gemini 4 Carbon |
| LMArena Text: creative writing | 1533 | 1439 | Gemini 4 Carbon |
| LMArena Vision | Not measured | 1305 | Only Muse Spark 1.2 measured |
| LMArena Text: English | 1530 | 1482 | Gemini 4 Carbon |
| LMArena Text: non-English | 1534 | 1478 | Gemini 4 Carbon |
| LMArena Text: Chinese | 1613 | 1517 | Gemini 4 Carbon |
| LMArena Text: German | Not measured | 1490 | Only Muse Spark 1.2 measured |
| LMArena Text: Japanese | Not measured | 1488 | Only Muse Spark 1.2 measured |
| LMArena Text: Korean | Not measured | 1453 | Only Muse Spark 1.2 measured |
| LMArena Text: French | Not measured | 1502 | Only Muse Spark 1.2 measured |
| LMArena Text: Spanish | Not measured | 1490 | Only Muse Spark 1.2 measured |
| LMArena Text: Russian | 1560 | 1488 | Gemini 4 Carbon |
| LMArena Text: Polish | Not measured | 1508 | Only Muse Spark 1.2 measured |
| LMArena Text: multi-turn | 1569 | 1498 | Gemini 4 Carbon |
| LMArena Text: longer queries | 1549 | 1476 | Gemini 4 Carbon |
| LMArena Text: writing and language | 1542 | 1456 | Gemini 4 Carbon |
| LMArena Text: entertainment and media | 1527 | 1445 | Gemini 4 Carbon |
| LMArena Vision: English | Not measured | 1292 | Only Muse Spark 1.2 measured |
| LMArena Vision: reading text | Not measured | 1312 | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Carbon | Muse Spark 1.2 | 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 Carbon$0.0070Fits in one request
Muse Spark 1.2$0.0034Fits in one request
Muse Spark 1.2 costs less
Repository review
50K input + 3K output tokens
Gemini 4 Carbon$0.130Fits in one request
Muse Spark 1.2$0.075Fits in one request
Muse Spark 1.2 costs less
Agent loop
200K input + 10K output tokens
Gemini 4 Carbon$0.500Fits in one request
Muse Spark 1.2$0.292Fits in one request
Muse Spark 1.2 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 Carbon | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | November 10, 2026 | August 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $1.25 |
| Output $/Mtok | $10.00 | $4.25 |
| Coding index | 86.6 | 50.9 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Carbon better than Muse Spark 1.2 for coding?
Pick Gemini 4 Carbon for coding: it scores 86.6 on the Vibe Coding Index against 50.9 for Muse Spark 1.2. Pick Muse Spark 1.2 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million).
Which is cheaper, Gemini 4 Carbon or Muse Spark 1.2?
Gemini 4 Carbon costs $2.00 per million input tokens and $10.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.
Which has the bigger context window, Gemini 4 Carbon or Muse Spark 1.2?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 4 Carbon vs Muse Spark 1.2 comparison based on?
44 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Carbon's coding index rests on 4 independent benchmarks and Muse Spark 1.2's on 4. Where only one model has a result, the page says so instead of naming a winner.