GPT-5.6 Sol Pro vs Muse Spark 1.1
Muse Spark 1.1 costs 4.7x less per output token than GPT-5.6 Sol Pro ($4.25 vs $20.00 per million). Updated October 22, 2026; 4 benchmarks have a result for both.
GPT-5.6 Sol Pro or Muse Spark 1.1: which to pick
Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; GPT-5.6 Sol Pro has none, so the two cannot be ranked on coding.
Pick GPT-5.6 Sol Pro for a larger context window (1.05M against 1.05M tokens) and work measured by APEX-Agents or Chess puzzles, where it leads.
- Shared results
- 4
- GPT-5.6 Sol Pro only
- 3
- Muse Spark 1.1 only
- 100
- Like-for-like categories
- 3 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
Only Muse Spark 1.1 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Muse Spark 1.1 has a AA Intelligence Index result, 33.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.1 has a AA Agentic Index result, 25.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Muse Spark 1.1 has a GPQA Diamond result, 91.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.1 has a MMLU Pro result, 88.7%.
Directional only
Web design
Design Arena: websites
No call
Only Muse Spark 1.1 has a Design Arena: websites result, 1270.
Directional only
Long documents
Listed context window
GPT-5.6 Sol Pro
GPT-5.6 Sol Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.1
GPT-5.6 Sol Pro $0.014, Muse Spark 1.1 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.1 has the number, $0.43.
Directional only
At a glance
- Coding index
- GPT-5.6 Sol Pro not benchmarked, Muse Spark 1.1 70.3 from 3 benchmarks.
- Widest category
- Reasoning, 34.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Chess puzzles: GPT-5.6 Sol Pro 68.0% against Muse Spark 1.1 34.0%, 34.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Sol Pro $20.00 against Muse Spark 1.1 $4.25 per million output tokens, 4.7x apart.
- Context window
- GPT-5.6 Sol Pro takes 1.05M tokens, Muse Spark 1.1 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-5.6 Sol Pro | Bars | Muse Spark 1.1 | Ties |
|---|---|---|---|---|
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 4 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index18 boards, none shared
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1542 | Only Muse Spark 1.1 measured |
| AA Coding Index | Not measured | 71.3 | Only Muse Spark 1.1 measured |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Muse Spark 1.1 measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.0% | Only Muse Spark 1.1 measured |
| Vibe Code Bench (Vals AI) | Not measured | 72.2% | Only Muse Spark 1.1 measured |
| Code migration (Vals AI) | Not measured | 31.1% | Only Muse Spark 1.1 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.1 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 69.3% | Only Muse Spark 1.1 measured |
| SkillsBench (Vals AI) | Not measured | 59.2% | Only Muse Spark 1.1 measured |
| SciCode | Not measured | 58.8% | Only Muse Spark 1.1 measured |
| WeirdML | 89.4% | Not measured | Only GPT-5.6 Sol Pro measured |
| LMArena Text: coding | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena Text: software and IT | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena WebDev: React | Not measured | 1532 | Only Muse Spark 1.1 measured |
| LMArena WebDev: HTML | Not measured | 1540 | Only Muse Spark 1.1 measured |
| LMArena WebDev: from an image | Not measured | 1540 | Only Muse Spark 1.1 measured |
| SWE Atlas: Codebase QnA | Not measured | 42.2% | Only Muse Spark 1.1 measured |
| SWE Atlas: Test Writing | Not measured | 41.5% | Only Muse Spark 1.1 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 | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 33.7 | Only Muse Spark 1.1 measured |
| Epoch Capabilities Index | Not measured | 154.1 | Only Muse Spark 1.1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 25.8 | Only Muse Spark 1.1 measured |
| Design Arena: agents building web apps | Not measured | 1207 | Only Muse Spark 1.1 measured |
| Design Arena: agents building full-stack apps | Not measured | 1199 | Only Muse Spark 1.1 measured |
| Design Arena: agents building mobile apps | Not measured | 1175 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Android apps | Not measured | 1178 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Godot games | Not measured | 1103 | Only Muse Spark 1.1 measured |
| Design Arena: agents building games | Not measured | 1183 | Only Muse Spark 1.1 measured |
| Design Arena: HTML slides | Not measured | 1145 | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | Not measured | 1134 | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | Not measured | 1021 | Only Muse Spark 1.1 measured |
| Finance Agent (Vals AI) | Not measured | 57.2% | Only Muse Spark 1.1 measured |
| Legal Research Bench (Vals AI) | Not measured | 38.0% | Only Muse Spark 1.1 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.4% | Only Muse Spark 1.1 measured |
| Time Horizon Index (Vals AI) | Not measured | 1.7% | Only Muse Spark 1.1 measured |
| APEX-Agents | 51.4% | 31.8% | GPT-5.6 Sol Pro |
| Vending-Bench 2 | Not measured | $6,520 | Only Muse Spark 1.1 measured |
| MCP Atlas | Not measured | 88.1% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.2% | Only Muse Spark 1.1 measured |
| MMMU Pro (Vals AI) | Not measured | 86.6% | Only Muse Spark 1.1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.8% | Only Muse Spark 1.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 46.2% | Only Muse Spark 1.1 measured |
| SimpleBench | 71.7% | Not measured | Only GPT-5.6 Sol Pro measured |
| Chess puzzles | 68.0% | 34.0% | GPT-5.6 Sol Pro |
| LMArena Text: hard prompts | Not measured | 1485 | Only Muse Spark 1.1 measured |
| LMArena Text: expert | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts in English | Not measured | 1480 | Only Muse Spark 1.1 measured |
| LMArena Vision: diagrams | Not measured | 1305 | Only Muse Spark 1.1 measured |
| LMArena Vision: homework | Not measured | 1287 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| FrontierMath, tier 4 | 80.5% | Not measured | Only GPT-5.6 Sol Pro measured |
| ProofBench | Not measured | 39.0% | Only Muse Spark 1.1 measured |
| LMArena Text: math | Not measured | 1482 | Only Muse Spark 1.1 measured |
| LMArena Text: mathematical work | Not measured | 1487 | Only Muse Spark 1.1 measured |
| MathArena | Not measured | 42.5% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.7% | Only Muse Spark 1.1 measured |
| LegalBench (Vals AI) | Not measured | 85.0% | Only Muse Spark 1.1 measured |
| CorpFin (Vals AI) | Not measured | 71.3% | Only Muse Spark 1.1 measured |
| TaxEval (Vals AI) | Not measured | 79.7% | Only Muse Spark 1.1 measured |
| MortgageTax (Vals AI) | Not measured | 66.1% | Only Muse Spark 1.1 measured |
| SimpleQA Verified | Not measured | 57.8% | Only Muse Spark 1.1 measured |
| LMArena Text: science | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1479 | Only Muse Spark 1.1 measured |
| LMArena Text: legal and government | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Text: business and finance | Not measured | 1470 | Only Muse Spark 1.1 measured |
| PRBench Finance | Not measured | 55.0% | Only Muse Spark 1.1 measured |
| PRBench Legal | Not measured | 57.0% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1270 | Only Muse Spark 1.1 measured |
| Design Arena: UI components | Not measured | 1287 | Only Muse Spark 1.1 measured |
| Design Arena: game dev | Not measured | 1269 | Only Muse Spark 1.1 measured |
| Design Arena: data viz | Not measured | 1267 | Only Muse Spark 1.1 measured |
| Design Arena: 3D | Not measured | 1259 | Only Muse Spark 1.1 measured |
| Design Arena: all code categories | Not measured | 1276 | Only Muse Spark 1.1 measured |
| Design Arena: SVG | Not measured | 1234 | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | Not measured | 1269 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 61.3% | Only Muse Spark 1.1 measured |
| SAGE (Vals AI) | Not measured | 45.6% | Only Muse Spark 1.1 measured |
| MedScribe (Vals AI) | Not measured | 88.9% | Only Muse Spark 1.1 measured |
| Vals Multimodal Index | Not measured | 66.7% | Only Muse Spark 1.1 measured |
| Long context reasoning (AA-LCR) | Not measured | 77.7% | Only Muse Spark 1.1 measured |
| DTBench | 96.0% | 94.4% | GPT-5.6 Sol Pro |
| LMCA | 59.2% | 49.9% | GPT-5.6 Sol Pro |
| Surface Evolver Bench | Not measured | 52.5% | Only Muse Spark 1.1 measured |
| LMArena Text | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: instruction following | Not measured | 1457 | Only Muse Spark 1.1 measured |
| LMArena Text: creative writing | Not measured | 1435 | Only Muse Spark 1.1 measured |
| LMArena Vision | Not measured | 1293 | Only Muse Spark 1.1 measured |
| LMArena Text: English | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: non-English | Not measured | 1471 | Only Muse Spark 1.1 measured |
| LMArena Text: Chinese | Not measured | 1515 | Only Muse Spark 1.1 measured |
| LMArena Text: German | Not measured | 1469 | Only Muse Spark 1.1 measured |
| LMArena Text: Japanese | Not measured | 1450 | Only Muse Spark 1.1 measured |
| LMArena Text: Korean | Not measured | 1459 | Only Muse Spark 1.1 measured |
| LMArena Text: French | Not measured | 1492 | Only Muse Spark 1.1 measured |
| LMArena Text: Spanish | Not measured | 1464 | Only Muse Spark 1.1 measured |
| LMArena Text: Russian | Not measured | 1482 | Only Muse Spark 1.1 measured |
| LMArena Text: Polish | Not measured | 1499 | Only Muse Spark 1.1 measured |
| LMArena Text: multi-turn | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: longer queries | Not measured | 1462 | Only Muse Spark 1.1 measured |
| LMArena Text: writing and language | Not measured | 1448 | Only Muse Spark 1.1 measured |
| LMArena Text: entertainment and media | Not measured | 1438 | Only Muse Spark 1.1 measured |
| LMArena Vision: English | Not measured | 1292 | Only Muse Spark 1.1 measured |
| LMArena Vision: Chinese | Not measured | 1348 | Only Muse Spark 1.1 measured |
| LMArena Vision: reading text | Not measured | 1301 | Only Muse Spark 1.1 measured |
| LMArena Vision: humor | Not measured | 1288 | Only Muse Spark 1.1 measured |
| LMArena Vision: creative writing | Not measured | 1253 | Only Muse Spark 1.1 measured |
| LMArena Document | Not measured | 1465 | Only Muse Spark 1.1 measured |
| MultiChallenge | Not measured | 75.3% | Only Muse Spark 1.1 measured |
| EQ-Bench 4 | Not measured | 1260 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.1 | 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 1.1 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.1 costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.1 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-5.6 Sol Pro | Meta Muse Spark 1.1 |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | July 9, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $4.00 | $1.25 |
| Output $/Mtok | $20.00 | $4.25 |
| Coding index | Not benchmarked | 70.3 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $0.43 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Sol Pro better than Muse Spark 1.1 for coding?
Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; GPT-5.6 Sol Pro has none, so the two cannot be ranked on coding. Pick GPT-5.6 Sol Pro for a larger context window (1.05M against 1.05M tokens) and work measured by APEX-Agents or Chess puzzles, where it leads.
Which is cheaper, GPT-5.6 Sol Pro or Muse Spark 1.1?
GPT-5.6 Sol Pro costs $4.00 per million input tokens and $20.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.1 only.
Which has the bigger context window, GPT-5.6 Sol Pro or Muse Spark 1.1?
GPT-5.6 Sol Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-5.6 Sol Pro vs Muse Spark 1.1 comparison based on?
4 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Sol Pro's coding index rests on 0 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.