GPT-6 Astra vs Muse Spark 1.3
Updated October 21, 2026. 91 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 79.7 for Muse Spark 1.3.
Pick Muse Spark 1.3 when output tokens cost 11.8x less, or when what matters is CyberBench (Vals AI) or SciCode, where it leads.
- Shared results
- 91
- GPT-6 Astra only
- 28
- Muse Spark 1.3 only
- 1
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
GPT-6 Astra
GPT-6 Astra scores 88.7 against 79.7.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6 Astra
GPT-6 Astra leads, 52.7 against 48.1.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.3
Muse Spark 1.3 leads, 55.5 against 51.0.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1337.
Same board, both measured
General
Vals Index
No call
Only GPT-6 Astra has a Vals Index result, 65.0%.
Directional only
Long documents
Listed context window
GPT-6 Astra
GPT-6 Astra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.3
GPT-6 Astra $0.035, Muse Spark 1.3 $0.0034 per turn.
List prices
At a glance
- Coding index
- GPT-6 Astra 88.7 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
- Widest category
- Math, 19.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- Mystery game puzzles: GPT-6 Astra 84.0% against Muse Spark 1.3 25.0%, 59.0 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Astra $50.00 against Muse Spark 1.3 $4.25 per million output tokens, 11.8x apart.
- Context window
- GPT-6 Astra takes 1.05M tokens, Muse Spark 1.3 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 Astra | Bars | Muse Spark 1.3 | Ties |
|---|---|---|---|---|
| Coding | 14 | 4 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 12 | 4 | ||
| Reasoning | 6 | 4 | ||
| Math | 4 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 7 | 2 | ||
| General | 3 | 23 | ||
| All shared boards | 48 | 43 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index144
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench coding | 93.7% | 90.2% | GPT-6 Astra |
| LMArena WebDev | 1774 | 1659 | GPT-6 Astra |
| AA Coding Index | 76.9 | 75.8 | GPT-6 Astra |
| Terminal-Bench 4 (Vals AI) | 59.6% | 10.6% | GPT-6 Astra |
| Vibe Code Bench (Vals AI) | 89.6% | 82.9% | GPT-6 Astra |
| Code migration (Vals AI) | 67.7% | 27.6% | GPT-6 Astra |
| ProgramBench (Vals AI) | 5.5% | 0.5% | GPT-6 Astra |
| IOI (Vals AI) | 100.0% | 43.9% | GPT-6 Astra |
| Terminal-Bench 2.1 (Vals AI) | 87.3% | 72.3% | GPT-6 Astra |
| SWE-bench Multimodal (Vals AI) | 43.3% | Not measured | Only GPT-6 Astra measured |
| Vibe Code Bench 1-100 (Vals AI) | 27.6% | Not measured | Only GPT-6 Astra measured |
| CyberBench (Vals AI) | 41.1% | 69.4% | Muse Spark 1.3 |
| SciCode | 56.5% | 59.7% | Muse Spark 1.3 |
| FrontierCode | 53.3% | Not measured | Only GPT-6 Astra measured |
| FrontierSWE | 65.5% | 25.8% | GPT-6 Astra |
| GSO-Bench | 79.4% | Not measured | Only GPT-6 Astra measured |
| WeirdML | 93.3% | Not measured | Only GPT-6 Astra measured |
| MirrorCode | 46.7% | Not measured | Only GPT-6 Astra measured |
| ALE-Bench | 2951.3 | 1688.3 | GPT-6 Astra |
| LMArena Text: coding | 1489 | 1510 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1474 | 1511 | Muse Spark 1.3 |
| LMArena WebDev: React | 1798 | 1672 | GPT-6 Astra |
| LMArena WebDev: HTML | 1775 | 1653 | GPT-6 Astra |
| LMArena WebDev: from an image | 1726 | 1640 | GPT-6 Astra |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.7 | 48.1 | GPT-6 Astra |
| Epoch Capabilities Index | 168.8 | 157.2 | GPT-6 Astra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index124
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 51.0 | 55.5 | Muse Spark 1.3 |
| Design Arena: agents building web apps | 1372 | 1297 | GPT-6 Astra |
| Design Arena: agents building full-stack apps | 1357 | 1295 | GPT-6 Astra |
| Design Arena: agents building mobile apps | 1312 | 1217 | GPT-6 Astra |
| Design Arena: agents building Godot games | 1348 | 1241 | GPT-6 Astra |
| Design Arena: PowerPoint slides | 1245 | 1244 | GPT-6 Astra |
| Design Arena: spreadsheets | 1380 | 1048 | GPT-6 Astra |
| LiveBench research | 85.2% | 68.6% | GPT-6 Astra |
| LiveBench browser | 84.0% | 80.0% | GPT-6 Astra |
| LiveBench long agentic | 82.4% | 40.4% | GPT-6 Astra |
| SREBench (Vals AI) | 56.9% | Not measured | Only GPT-6 Astra measured |
| Finance Agent (Vals AI) | 53.5% | 58.9% | Muse Spark 1.3 |
| Tax Agent Bench (Vals AI) | 20.7% | 36.0% | Muse Spark 1.3 |
| Legal Research Bench (Vals AI) | 39.4% | 40.9% | Muse Spark 1.3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 7.1% | Not measured | Only GPT-6 Astra measured |
| Excel Modeling Benchmark (Vals AI) | 71.7% | 62.7% | GPT-6 Astra |
| BioMysteryBench (Vals AI) | 79.3% | Not measured | Only GPT-6 Astra measured |
| Terminal-Bench-Science (Vals AI) | 62.9% | 4.3% | GPT-6 Astra |
| Vals Science Index | 65.1% | Not measured | Only GPT-6 Astra measured |
| Time Horizon Index (Vals AI) | 90.5% | Not measured | Only GPT-6 Astra measured |
| CUA-bench (Vals AI) | 19.2% | Not measured | Only GPT-6 Astra measured |
| Robo-bench (Vals AI) | 23.3% | Not measured | Only GPT-6 Astra measured |
| APEX-Agents | 64.7% | 58.6% | GPT-6 Astra |
| Remote Labor Index | 20.8% | Not measured | Only GPT-6 Astra measured |
| BALROG | 68.3% | Not measured | Only GPT-6 Astra measured |
| SpireClimb | 25.7% | Not measured | Only GPT-6 Astra measured |
| Vending-Bench 2 | $15,515 | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 12 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index64
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 92.7% | 89.7% | GPT-6 Astra |
| MysteryMechanism (Vals AI) | 53.1% | Not measured | Only GPT-6 Astra measured |
| GPQA Diamond (Artificial Analysis run) | 96.3% | 94.1% | GPT-6 Astra |
| Humanity's Last Exam (Artificial Analysis run) | 54.7% | 48.7% | GPT-6 Astra |
| GPQA Diamond (Epoch AI run) | 95.8% | Not measured | Only GPT-6 Astra measured |
| ARC-AGI | 98.5% | Not measured | Only GPT-6 Astra measured |
| ARC-AGI-2 | 95.0% | Not measured | Only GPT-6 Astra measured |
| Chess puzzles | 74.0% | 37.0% | GPT-6 Astra |
| Mystery game puzzles | 84.0% | 25.0% | GPT-6 Astra |
| EBR-bench | 76.2% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: hard prompts | 1463 | 1503 | Muse Spark 1.3 |
| LMArena Text: expert | 1489 | 1519 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1464 | 1500 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1297 | 1330 | Muse Spark 1.3 |
| LMArena Vision: homework | 1337 | 1296 | GPT-6 Astra |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 99.2% | GPT-6 Astra |
| FrontierMath, tiers 1 to 3 | 93.7% | 74.4% | GPT-6 Astra |
| FrontierMath, tier 4 | 97.6% | 46.3% | GPT-6 Astra |
| ProofBench | 99.0% | 58.0% | GPT-6 Astra |
| LMArena Text: math | 1465 | 1497 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1484 | 1491 | Muse Spark 1.3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 48.5% | Not measured | Only GPT-6 Astra measured |
| SimpleQA Verified | 75.6% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: science | 1451 | 1507 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1425 | 1493 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1462 | 1499 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1439 | 1490 | Muse Spark 1.3 |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1337 | 1356 | Muse Spark 1.3 |
| Design Arena: UI components | 1394 | 1352 | GPT-6 Astra |
| Design Arena: game dev | 1474 | 1329 | GPT-6 Astra |
| Design Arena: data viz | 1335 | 1343 | Muse Spark 1.3 |
| Design Arena: 3D | 1501 | 1359 | GPT-6 Astra |
| Design Arena: all code categories | 1379 | 1353 | GPT-6 Astra |
| Design Arena: SVG | 1431 | 1300 | GPT-6 Astra |
| Design Arena: ASCII art | 1359 | 1280 | GPT-6 Astra |
| LiveBench design | 82.0% | 74.8% | GPT-6 Astra |
GeneralLike-for-likePublic boards, shown as published, kept out of the index323
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Vals Index | 65.0% | Not measured | Only GPT-6 Astra measured |
| LiveBench data analysis | 83.0% | 79.6% | GPT-6 Astra |
| SAGE (Vals AI) | 46.4% | Not measured | Only GPT-6 Astra measured |
| MedScribe (Vals AI) | 87.9% | Not measured | Only GPT-6 Astra measured |
| Long context reasoning (AA-LCR) | 80.7% | 83.0% | Muse Spark 1.3 |
| DTBench | 97.3% | 96.5% | GPT-6 Astra |
| LMCA | 64.4% | 53.9% | GPT-6 Astra |
| Furniture assembly | 80.0% | Not measured | Only GPT-6 Astra measured |
| LMArena Text | 1441 | 1490 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1455 | 1479 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1420 | 1462 | Muse Spark 1.3 |
| LMArena Vision | 1280 | 1308 | Muse Spark 1.3 |
| LMArena Text: English | 1447 | 1495 | Muse Spark 1.3 |
| LMArena Text: non-English | 1432 | 1481 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1489 | 1532 | Muse Spark 1.3 |
| LMArena Text: German | 1459 | 1513 | Muse Spark 1.3 |
| LMArena Text: Japanese | 1405 | 1470 | Muse Spark 1.3 |
| LMArena Text: Korean | 1428 | 1490 | Muse Spark 1.3 |
| LMArena Text: French | 1432 | 1511 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1422 | 1496 | Muse Spark 1.3 |
| LMArena Text: Russian | 1438 | 1491 | Muse Spark 1.3 |
| LMArena Text: Polish | 1422 | 1490 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1447 | 1487 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1460 | 1488 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1437 | 1470 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1427 | 1457 | Muse Spark 1.3 |
| LMArena Vision: English | 1280 | 1298 | Muse Spark 1.3 |
| LMArena Vision: Chinese | 1361 | 1384 | Muse Spark 1.3 |
| LMArena Vision: reading text | 1292 | 1319 | Muse Spark 1.3 |
| LMArena Vision: humor | Not measured | 1293 | Only Muse Spark 1.3 measured |
| LMArena Vision: creative writing | 1286 | 1296 | Muse Spark 1.3 |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Astra | Muse Spark 1.3 | 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 1.3 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.3 costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.3 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 Astra | Meta Muse Spark 1.3 |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | September 4, 2026 | September 2, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $10.00 | $1.25 |
| Output $/Mtok | $50.00 | $4.25 |
| Coding index | 88.7 | 79.7 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Astra better than Muse Spark 1.3 for coding?
Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 79.7 for Muse Spark 1.3. Pick Muse Spark 1.3 when output tokens cost 11.8x less, or when what matters is CyberBench (Vals AI) or SciCode, where it leads.
Which is cheaper, GPT-6 Astra or Muse Spark 1.3?
GPT-6 Astra costs $10.00 per million input tokens and $50.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6 Astra or Muse Spark 1.3?
GPT-6 Astra, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6 Astra vs Muse Spark 1.3 comparison based on?
91 benchmarks have a result for both models as of October 21, 2026. GPT-6 Astra's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. Where only one model has a result, the page says so instead of naming a winner.