GPT-6 Sol vs Muse Spark 1.2
GPT-6 Sol leads Muse Spark 1.2 on coding, 76.0 to 55.7 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 October 22, 2026; 78 benchmarks have a result for both.
GPT-6 Sol or Muse Spark 1.2: which to pick
Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 55.7 for Muse Spark 1.2.
Pick Muse Spark 1.2 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 78
- GPT-6 Sol only
- 23
- Muse Spark 1.2 only
- 19
- 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
GPT-6 Sol
GPT-6 Sol scores 76.0 against 55.7.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6 Sol
GPT-6 Sol leads, 47.6 against 39.6.
Same board, both measured
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
Muse Spark 1.2
Muse Spark 1.2 leads, 1312 against 1292.
Same board, both measured
Long documents
Listed context window
GPT-6 Sol
GPT-6 Sol takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.2
GPT-6 Sol $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
- GPT-6 Sol 76.0 from 5 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
- Widest category
- Math, 20.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- IOI (Vals AI): GPT-6 Sol 82.6% against Muse Spark 1.2 21.8%, 60.8 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Sol $10.00 against Muse Spark 1.2 $4.25 per million output tokens, 2.4x apart.
- Context window
- GPT-6 Sol takes 1.05M tokens, Muse Spark 1.2 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 | GPT-6 Sol | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 12 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 10 | 3 | ||
| Reasoning | 2 | 5 | ||
| Math | 1 | 2 | ||
| Knowledge | 1 | 5 | ||
| Web design | 4 | 5 | ||
| General | 4 | 20 | ||
| All shared boards | 36 | 42 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index122
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench coding | 93.1% | 78.2% | GPT-6 Sol |
| LMArena WebDev | 1683 | 1534 | GPT-6 Sol |
| 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) | 44.4% | 6.1% | GPT-6 Sol |
| Vibe Code Bench (Vals AI) | 87.8% | 79.1% | GPT-6 Sol |
| Code migration (Vals AI) | 57.2% | 29.9% | GPT-6 Sol |
| ProgramBench (Vals AI) | 2.0% | 0.5% | GPT-6 Sol |
| IOI (Vals AI) | 82.6% | 21.8% | GPT-6 Sol |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 69.7% | GPT-6 Sol |
| SkillsBench (Vals AI) | Not measured | 53.0% | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | 78.0% | 69.5% | GPT-6 Sol |
| SciCode | 57.6% | 57.4% | GPT-6 Sol |
| FrontierCode | 49.3% | Not measured | Only GPT-6 Sol measured |
| FrontierSWE | Not measured | 12.0% | Only Muse Spark 1.2 measured |
| WeirdML | Not measured | 60.3% | Only Muse Spark 1.2 measured |
| ALE-Bench | 2462.0 | Not measured | Only GPT-6 Sol measured |
| LMArena Text: coding | 1448 | 1505 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1433 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | 1685 | 1526 | GPT-6 Sol |
| LMArena WebDev: HTML | 1685 | 1543 | GPT-6 Sol |
| LMArena WebDev: from an image | 1660 | Not measured | Only GPT-6 Sol measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 47.6 | 39.6 | GPT-6 Sol |
| Epoch Capabilities Index | 163.7 | 155.1 | GPT-6 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 43.2 | Only Muse Spark 1.2 measured |
| Design Arena: agents building web apps | 1231 | 1221 | GPT-6 Sol |
| Design Arena: agents building full-stack apps | 1238 | 1210 | GPT-6 Sol |
| Design Arena: agents building mobile apps | 1217 | 1181 | GPT-6 Sol |
| Design Arena: agents building Android apps | Not measured | 1222 | Only Muse Spark 1.2 measured |
| Design Arena: agents building games | Not measured | 1179 | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | Not measured | 1085 | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | Not measured | 1172 | Only Muse Spark 1.2 measured |
| LiveBench research | 69.3% | 67.7% | GPT-6 Sol |
| LiveBench browser | 92.0% | 36.0% | GPT-6 Sol |
| LiveBench long agentic | 66.9% | 21.3% | GPT-6 Sol |
| SREBench (Vals AI) | 30.5% | 0.0% | GPT-6 Sol |
| Finance Agent (Vals AI) | 49.0% | 60.6% | Muse Spark 1.2 |
| Tax Agent Bench (Vals AI) | 15.0% | 32.8% | Muse Spark 1.2 |
| Legal Research Bench (Vals AI) | 28.9% | 43.8% | Muse Spark 1.2 |
| Excel Modeling Benchmark (Vals AI) | 71.5% | 57.0% | GPT-6 Sol |
| BioMysteryBench (Vals AI) | 74.8% | 64.8% | GPT-6 Sol |
| Terminal-Bench-Science (Vals AI) | 30.0% | Not measured | Only GPT-6 Sol measured |
| Vals Science Index | 45.0% | Not measured | Only GPT-6 Sol measured |
| APEX-Agents | 54.3% | 45.4% | GPT-6 Sol |
| SpireClimb | 7.5% | Not measured | Only GPT-6 Sol measured |
| Vending-Bench 2 | $14,428 | Not measured | Only GPT-6 Sol measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | 90.0% | Muse Spark 1.2 |
| MysteryMechanism (Vals AI) | 30.2% | Not measured | Only GPT-6 Sol 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) | 47.9% | 45.5% | GPT-6 Sol |
| GPQA Diamond (Epoch AI run) | 94.3% | Not measured | Only GPT-6 Sol measured |
| ARC-AGI | 95.5% | Not measured | Only GPT-6 Sol measured |
| ARC-AGI-2 | 89.6% | Not measured | Only GPT-6 Sol measured |
| SimpleBench | Not measured | 74.5% | Only Muse Spark 1.2 measured |
| Chess puzzles | 56.0% | 27.0% | GPT-6 Sol |
| Mystery game puzzles | 56.0% | Not measured | Only GPT-6 Sol measured |
| EBR-bench | 53.3% | Not measured | Only GPT-6 Sol measured |
| LMArena Text: hard prompts | 1422 | 1489 | Muse Spark 1.2 |
| LMArena Text: expert | 1437 | 1475 | Muse Spark 1.2 |
| LMArena Text: hard prompts in English | 1420 | 1487 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1270 | 1317 | Muse Spark 1.2 |
| LMArena Vision: homework | 1286 | Not measured | Only GPT-6 Sol measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only GPT-6 Sol measured |
| FrontierMath, tiers 1 to 3 | 89.8% | Not measured | Only GPT-6 Sol measured |
| FrontierMath, tier 4 | 90.0% | Not measured | Only GPT-6 Sol measured |
| ProofBench | 83.0% | 43.0% | GPT-6 Sol |
| LMArena Text: math | 1407 | 1484 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1424 | 1480 | Muse Spark 1.2 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | GPT-6 Sol | 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) | 47.1% | 49.4% | Muse Spark 1.2 |
| SimpleQA Verified | 60.7% | 60.3% | GPT-6 Sol |
| LMArena Text: science | 1389 | 1500 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1366 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1396 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1380 | 1484 | Muse Spark 1.2 |
| FACTS Benchmark Suite | 72.5% | Not measured | Only GPT-6 Sol measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1292 | 1312 | Muse Spark 1.2 |
| Design Arena: UI components | 1290 | 1298 | Muse Spark 1.2 |
| Design Arena: game dev | 1311 | 1301 | GPT-6 Sol |
| Design Arena: data viz | 1269 | 1334 | Muse Spark 1.2 |
| Design Arena: 3D | 1314 | 1301 | GPT-6 Sol |
| Design Arena: all code categories | 1300 | 1312 | Muse Spark 1.2 |
| Design Arena: SVG | 1315 | 1284 | GPT-6 Sol |
| Design Arena: ASCII art | 1222 | 1284 | Muse Spark 1.2 |
| LiveBench design | 82.2% | 67.1% | GPT-6 Sol |
GeneralLike-for-likePublic boards, shown as published, kept out of the index420
| Benchmark | GPT-6 Sol | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench data analysis | 81.2% | 76.5% | GPT-6 Sol |
| Public Benefits Bench (Vals AI) | 56.6% | 68.5% | Muse Spark 1.2 |
| SAGE (Vals AI) | 44.8% | 47.7% | Muse Spark 1.2 |
| MedScribe (Vals AI) | 82.0% | 90.1% | Muse Spark 1.2 |
| Vals Multimodal Index | Not measured | 69.8% | Only Muse Spark 1.2 measured |
| Long context reasoning (AA-LCR) | 83.7% | 79.0% | GPT-6 Sol |
| DTBench | 97.3% | 94.7% | GPT-6 Sol |
| LMCA | 59.1% | 48.4% | GPT-6 Sol |
| Furniture assembly | 58.3% | Not measured | Only GPT-6 Sol measured |
| LMArena Text | 1398 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1413 | 1462 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1378 | 1436 | Muse Spark 1.2 |
| LMArena Vision | 1240 | 1304 | Muse Spark 1.2 |
| LMArena Text: English | 1396 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1388 | 1476 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1412 | 1509 | Muse Spark 1.2 |
| LMArena Text: German | 1379 | Not measured | Only GPT-6 Sol measured |
| LMArena Text: Japanese | 1377 | Not measured | Only GPT-6 Sol measured |
| LMArena Text: Korean | 1336 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1399 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1387 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1402 | 1483 | Muse Spark 1.2 |
| LMArena Text: Polish | 1372 | Not measured | Only GPT-6 Sol measured |
| LMArena Text: multi-turn | 1414 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1416 | 1473 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1389 | 1453 | Muse Spark 1.2 |
| LMArena Text: entertainment and media | 1373 | 1443 | Muse Spark 1.2 |
| LMArena Vision: English | 1229 | 1291 | Muse Spark 1.2 |
| LMArena Vision: reading text | 1258 | 1313 | Muse Spark 1.2 |
| LMArena Vision: creative writing | 1219 | Not measured | Only GPT-6 Sol 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 | GPT-6 Sol | 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
Muse Spark 1.2 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.2 costs less
Agent loop
200K input + 10K output tokens
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 | OpenAI GPT-6 Sol | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | August 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $1.25 |
| Output $/Mtok | $10.00 | $4.25 |
| Coding index | 76.0 | 55.7 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | Not computable | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Sol better than Muse Spark 1.2 for coding?
Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 55.7 for Muse Spark 1.2. Pick Muse Spark 1.2 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GPT-6 Sol or Muse Spark 1.2?
GPT-6 Sol 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, GPT-6 Sol or Muse Spark 1.2?
GPT-6 Sol, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6 Sol vs Muse Spark 1.2 comparison based on?
78 benchmarks have a result for both models as of October 22, 2026. GPT-6 Sol's coding index rests on 5 independent benchmarks and Muse Spark 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.