Muse Spark 1.3 vs o3
Muse Spark 1.3 leads o3 on the Artificial Analysis Intelligence Index, 48.1 to 20.2, and Muse Spark 1.3 costs 1.9x less per output token ($4.25 vs $8.00 per million). Updated October 21, 2026; 53 benchmarks have a result for both.
Muse Spark 1.3 or o3: which to pick
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding.
Pick o3 for work measured by Mystery game puzzles, where it leads.
- Shared results
- 53
- Muse Spark 1.3 only
- 39
- o3 only
- 49
- Like-for-like categories
- 7 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 1.3 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Muse Spark 1.3
Muse Spark 1.3 leads, 48.1 against 20.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.3 has a AA Agentic Index result, 55.5.
Directional only
Reasoning
GPQA Diamond
No call
Only o3 has a GPQA Diamond result, 84.1%.
Directional only
Math
AIME
No call
Only o3 has a AIME result, 85.3%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 has a MMLU Pro result, 85.6%.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1356 against 1036.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.3
Muse Spark 1.3 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.3
Muse Spark 1.3 $0.0034, o3 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only o3 has the number, $0.571.
Directional only
At a glance
- Coding index
- Muse Spark 1.3 57.4 from 4 benchmarks, o3 not benchmarked.
- Widest category
- Web design, 35.6 points apart on average over 5 shared benchmarks.
- Widest single gap
- Design Arena: UI components: Muse Spark 1.3 1351 against o3 1017, 41.8 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.3 $4.25 against o3 $8.00 per million output tokens, 1.9x apart.
- Context window
- Muse Spark 1.3 takes 1.05M tokens, o3 200K.
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 | Muse Spark 1.3 | Bars | o3 | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 7 | 1 | 1 tie | |
| Math | 4 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 5 | 0 | ||
| General | 26 | 0 | ||
| All shared boards | 51 | 1 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 81.3% | Only o3 measured |
| SWE-bench Verified | Not measured | 58.4% | Only o3 measured |
| SWE-bench Multimodal | Not measured | 36.0% | Only o3 measured |
| LiveBench coding | 90.2% | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev | 1659 | Not measured | Only Muse Spark 1.3 measured |
| AA Coding Index | 75.8 | Not measured | Only Muse Spark 1.3 measured |
| LiveCodeBench (Vals AI) | Not measured | 83.9% | Only o3 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Muse Spark 1.3 measured |
| Vibe Code Bench (Vals AI) | 82.9% | Not measured | Only Muse Spark 1.3 measured |
| Code migration (Vals AI) | 27.6% | Not measured | Only Muse Spark 1.3 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Muse Spark 1.3 measured |
| IOI (Vals AI) | 43.9% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 72.3% | Not measured | Only Muse Spark 1.3 measured |
| CyberBench (Vals AI) | 69.4% | Not measured | Only Muse Spark 1.3 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 80.8% | Only o3 measured |
| SciCode | 59.7% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.1% | Only o3 measured |
| FrontierSWE | 25.8% | Not measured | Only Muse Spark 1.3 measured |
| GSO-Bench | Not measured | 8.8% | Only o3 measured |
| WeirdML | Not measured | 52.4% | Only o3 measured |
| ALE-Bench | 1688.3 | 933.5 | Muse Spark 1.3 |
| LMArena Text: coding | 1510 | 1407 | Muse Spark 1.3 |
| LMArena Text: software and IT | 1511 | 1415 | Muse Spark 1.3 |
| LMArena WebDev: React | 1672 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: HTML | 1653 | Not measured | Only Muse Spark 1.3 measured |
| LMArena WebDev: from an image | 1640 | Not measured | Only Muse Spark 1.3 measured |
| SciCode | Not measured | 9.2% | Only o3 measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 48.1 | 20.2 | Muse Spark 1.3 |
| Epoch Capabilities Index | 157.2 | 146.7 | Muse Spark 1.3 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| AA Agentic Index | 55.5 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building web apps | 1297 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building full-stack apps | 1295 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building mobile apps | 1217 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: agents building Godot games | 1241 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: PowerPoint slides | 1243 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | 1043 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench research | 68.6% | Not measured | Only Muse Spark 1.3 measured |
| LiveBench browser | 80.0% | Not measured | Only Muse Spark 1.3 measured |
| LiveBench long agentic | 40.4% | Not measured | Only Muse Spark 1.3 measured |
| Finance Agent (Vals AI) | 58.9% | Not measured | Only Muse Spark 1.3 measured |
| Tax Agent Bench (Vals AI) | 36.0% | Not measured | Only Muse Spark 1.3 measured |
| Legal Research Bench (Vals AI) | 40.9% | Not measured | Only Muse Spark 1.3 measured |
| Excel Modeling Benchmark (Vals AI) | 62.7% | Not measured | Only Muse Spark 1.3 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Muse Spark 1.3 measured |
| τ²-Bench Telecom | Not measured | 80.7% | Only o3 measured |
| APEX-Agents | 58.6% | Not measured | Only Muse Spark 1.3 measured |
| METR time horizons | Not measured | 65.4% | Only o3 measured |
| GDPval | Not measured | 30.8% | Only o3 measured |
| DeepResearch Bench | Not measured | 45.2% | Only o3 measured |
| OSWorld | Not measured | 23.0% | Only o3 measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 63.0% | Only o3 measured |
| BrowseComp-Plus | Not measured | 65.9% | Only o3 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 84.1% | Only o3 measured |
| LiveBench reasoning | 89.7% | Not measured | Only Muse Spark 1.3 measured |
| MMMU Pro (Vals AI) | Not measured | 80.4% | Only o3 measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 82.7% | Muse Spark 1.3 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 20.1% | Muse Spark 1.3 |
| GPQA Diamond (Epoch AI run) | Not measured | 81.8% | Only o3 measured |
| ARC-AGI | Not measured | 60.8% | Only o3 measured |
| ARC-AGI-2 | Not measured | 6.5% | Only o3 measured |
| SimpleBench | Not measured | 53.1% | Only o3 measured |
| Chess puzzles | 37.0% | 37.0% | Tie |
| Mystery game puzzles | 25.0% | 29.0% | o3 |
| VPCT | Not measured | 52.0% | Only o3 measured |
| LMArena Text: hard prompts | 1503 | 1402 | Muse Spark 1.3 |
| LMArena Text: expert | 1519 | 1402 | Muse Spark 1.3 |
| LMArena Text: hard prompts in English | 1500 | 1411 | Muse Spark 1.3 |
| LMArena Vision: diagrams | 1330 | 1220 | Muse Spark 1.3 |
| LMArena Vision: homework | 1296 | 1234 | Muse Spark 1.3 |
| Kagi LLM Benchmark | Not measured | 67.6% | Only o3 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| AIME | Not measured | 85.3% | Only o3 measured |
| MATH 500 (Vals AI) | Not measured | 94.6% | Only o3 measured |
| MGSM (Vals AI) | Not measured | 91.8% | Only o3 measured |
| AA Math Index | Not measured | 88.3 | Only o3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 88.3% | Only o3 measured |
| OTIS Mock AIME | 99.2% | 84.4% | Muse Spark 1.3 |
| FrontierMath, tiers 1 to 3 | 74.4% | 33.3% | Muse Spark 1.3 |
| FrontierMath, tier 4 | 46.3% | Not measured | Only Muse Spark 1.3 measured |
| ProofBench | 58.0% | Not measured | Only Muse Spark 1.3 measured |
| MATH level 5 | Not measured | 97.8% | Only o3 measured |
| LMArena Text: math | 1497 | 1426 | Muse Spark 1.3 |
| LMArena Text: mathematical work | 1491 | 1423 | Muse Spark 1.3 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.6% | Only o3 measured |
| LegalBench (Vals AI) | Not measured | 83.8% | Only o3 measured |
| CorpFin (Vals AI) | Not measured | 59.7% | Only o3 measured |
| TaxEval (Vals AI) | Not measured | 74.6% | Only o3 measured |
| MortgageTax (Vals AI) | Not measured | 65.7% | Only o3 measured |
| MedQA (Vals AI) | Not measured | 96.1% | Only o3 measured |
| MedCode (Vals AI) | Not measured | 47.3% | Only o3 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.3% | Only o3 measured |
| SimpleQA Verified | Not measured | 49.4% | Only o3 measured |
| GeoBench | Not measured | 74.0% | Only o3 measured |
| LMArena Text: science | 1507 | 1429 | Muse Spark 1.3 |
| LMArena Text: medicine and healthcare | 1493 | 1448 | Muse Spark 1.3 |
| LMArena Text: legal and government | 1499 | 1428 | Muse Spark 1.3 |
| LMArena Text: business and finance | 1490 | 1393 | Muse Spark 1.3 |
| FACTS Benchmark Suite | Not measured | 44.4% | Only o3 measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1356 | 1036 | Muse Spark 1.3 |
| Design Arena: UI components | 1351 | 1017 | Muse Spark 1.3 |
| Design Arena: game dev | 1329 | 1034 | Muse Spark 1.3 |
| Design Arena: data viz | 1343 | 1200 | Muse Spark 1.3 |
| Design Arena: 3D | 1359 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: all code categories | 1353 | 1020 | Muse Spark 1.3 |
| Design Arena: SVG | 1301 | Not measured | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | 1280 | Not measured | Only Muse Spark 1.3 measured |
| LiveBench design | 74.8% | Not measured | Only Muse Spark 1.3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
| Benchmark | Muse Spark 1.3 | o3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.6% | Not measured | Only Muse Spark 1.3 measured |
| SAGE (Vals AI) | Not measured | 41.8% | Only o3 measured |
| MedScribe (Vals AI) | Not measured | 76.7% | Only o3 measured |
| IFBench | Not measured | 71.4% | Only o3 measured |
| Long context reasoning (AA-LCR) | 83.0% | 74.7% | Muse Spark 1.3 |
| DTBench | 96.5% | 84.8% | Muse Spark 1.3 |
| LMCA | 53.9% | 39.7% | Muse Spark 1.3 |
| Fiction.LiveBench | Not measured | 88.9% | Only o3 measured |
| Creative writing (Lech Mazur) | Not measured | 83.9% | Only o3 measured |
| CL-bench | Not measured | 17.8% | Only o3 measured |
| LMArena Text | 1490 | 1410 | Muse Spark 1.3 |
| LMArena Text: instruction following | 1479 | 1368 | Muse Spark 1.3 |
| LMArena Text: creative writing | 1462 | 1359 | Muse Spark 1.3 |
| LMArena Vision | 1308 | 1214 | Muse Spark 1.3 |
| LMArena Text: English | 1495 | 1417 | Muse Spark 1.3 |
| LMArena Text: non-English | 1481 | 1401 | Muse Spark 1.3 |
| LMArena Text: Chinese | 1532 | 1437 | Muse Spark 1.3 |
| LMArena Text: German | 1513 | 1420 | Muse Spark 1.3 |
| LMArena Text: Japanese | 1470 | 1403 | Muse Spark 1.3 |
| LMArena Text: Korean | 1490 | 1370 | Muse Spark 1.3 |
| LMArena Text: French | 1511 | 1430 | Muse Spark 1.3 |
| LMArena Text: Spanish | 1496 | 1395 | Muse Spark 1.3 |
| LMArena Text: Russian | 1491 | 1406 | Muse Spark 1.3 |
| LMArena Text: Polish | 1490 | 1438 | Muse Spark 1.3 |
| LMArena Text: multi-turn | 1487 | 1405 | Muse Spark 1.3 |
| LMArena Text: longer queries | 1488 | 1372 | Muse Spark 1.3 |
| LMArena Text: writing and language | 1470 | 1372 | Muse Spark 1.3 |
| LMArena Text: entertainment and media | 1457 | 1373 | Muse Spark 1.3 |
| LMArena Vision: English | 1298 | 1221 | Muse Spark 1.3 |
| LMArena Vision: Chinese | 1384 | 1237 | Muse Spark 1.3 |
| LMArena Vision: reading text | 1319 | 1218 | Muse Spark 1.3 |
| LMArena Vision: humor | 1293 | 1222 | Muse Spark 1.3 |
| LMArena Vision: captioning | Not measured | 1210 | Only o3 measured |
| LMArena Vision: recognizing things | Not measured | 1234 | Only o3 measured |
| LMArena Vision: creative writing | 1296 | 1201 | Muse Spark 1.3 |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.3 | o3 | 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 | Meta Muse Spark 1.3 | OpenAI o3 |
|---|---|---|
| Maker | Meta | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 2, 2026 | April 16, 2025 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $1.25 | $2.00 |
| Output $/Mtok | $4.25 | $8.00 |
| Coding index | 57.4 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | Not computable | $0.571 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.3 better than o3 for coding?
Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding. Pick o3 for work measured by Mystery game puzzles, where it leads.
Which is cheaper, Muse Spark 1.3 or o3?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; o3 costs $2.00 and $8.00. Cost per solved task is known for o3 only.
Which has the bigger context window, Muse Spark 1.3 or o3?
Muse Spark 1.3, with 1.05M tokens against 200K.
How many benchmarks is the Muse Spark 1.3 vs o3 comparison based on?
53 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and o3's on 0. Where only one model has a result, the page says so instead of naming a winner.