R1 0528 vs Muse Spark 1.2
Updated October 21, 2026. 38 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 65.1 for Muse Spark 1.2, though on 1 benchmark against 2.
Pick Muse Spark 1.2 when the context window is larger, 1.05M against 164K tokens, or when what matters is WeirdML or LMArena Text: coding, where it leads.
- Shared results
- 38
- R1 0528 only
- 21
- Muse Spark 1.2 only
- 59
- Like-for-like categories
- 7 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
R1 0528
R1 0528 scores 71.4 against 65.1.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 13.1.
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, 1313 against 1149.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.2
Muse Spark 1.2 takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
R1 0528
R1 0528 $0.0016, 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
- R1 0528 71.4 from 1 benchmark, Muse Spark 1.2 65.1 from 2 benchmarks.
- Widest category
- Intelligence, 26.5 points apart on average over 1 shared benchmark.
- Widest single gap
- SimpleBench: R1 0528 40.8% against Muse Spark 1.2 74.5%, 33.7 points apart on a 0 to 100 scale.
- Output price
- R1 0528 $2.15 against Muse Spark 1.2 $4.25 per million output tokens, 2.0x apart.
- Context window
- R1 0528 takes 164K 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 | R1 0528 | Bars | Muse Spark 1.2 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 7 | ||
| General | 0 | 15 | ||
| All shared boards | 0 | 38 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | R1 0528 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Aider polyglot | 71.4% | Not measured | Only R1 0528 measured |
| LiveBench coding | Not measured | 78.2% | Only Muse Spark 1.2 measured |
| LMArena WebDev | Not measured | 1534 | Only Muse Spark 1.2 measured |
| 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) | Not measured | 6.1% | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | Not measured | 79.1% | Only Muse Spark 1.2 measured |
| 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 |
| LiveCodeBench (Artificial Analysis run) | 77.0% | Not measured | Only R1 0528 measured |
| SciCode | Not measured | 57.4% | Only Muse Spark 1.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.9% | Not measured | Only R1 0528 measured |
| FrontierSWE | Not measured | 12.0% | Only Muse Spark 1.2 measured |
| WeirdML | 41.6% | 60.3% | Muse Spark 1.2 |
| ALE-Bench | 804.1 | Not measured | Only R1 0528 measured |
| LMArena Text: coding | 1427 | 1505 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1435 | 1505 | Muse Spark 1.2 |
| LMArena WebDev: React | Not measured | 1526 | Only Muse Spark 1.2 measured |
| LMArena WebDev: HTML | Not measured | 1543 | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | R1 0528 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 39.6 | Muse Spark 1.2 |
| Epoch Capabilities Index | Not measured | 155.1 | Only Muse Spark 1.2 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | R1 0528 | 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 | 1222 | Only Muse Spark 1.2 measured |
| Design Arena: agents building full-stack apps | Not measured | 1210 | Only Muse Spark 1.2 measured |
| Design Arena: agents building mobile apps | Not measured | 1182 | Only Muse Spark 1.2 measured |
| Design Arena: agents building Android apps | Not measured | 1228 | 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 | 1135 | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | Not measured | 1198 | Only Muse Spark 1.2 measured |
| LiveBench research | Not measured | 67.7% | Only Muse Spark 1.2 measured |
| LiveBench browser | Not measured | 36.0% | Only Muse Spark 1.2 measured |
| LiveBench long agentic | Not measured | 21.3% | Only Muse Spark 1.2 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) | Not measured | 32.8% | Only Muse Spark 1.2 measured |
| Legal Research Bench (Vals AI) | Not measured | 43.8% | Only Muse Spark 1.2 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 |
| τ²-Bench Telecom | 36.5% | Not measured | Only R1 0528 measured |
| APEX-Agents | Not measured | 45.4% | Only Muse Spark 1.2 measured |
| METR time horizons | 53.8% | Not measured | Only R1 0528 measured |
| DeepResearch Bench | 35.1% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | R1 0528 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 90.0% | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | Not measured | 86.1% | Only Muse Spark 1.2 measured |
| GPQA Diamond (Artificial Analysis run) | 81.3% | 90.4% | Muse Spark 1.2 |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 45.5% | Muse Spark 1.2 |
| GPQA Diamond (Epoch AI run) | 76.3% | Not measured | Only R1 0528 measured |
| ARC-AGI | 21.2% | Not measured | Only R1 0528 measured |
| ARC-AGI-2 | 1.1% | Not measured | Only R1 0528 measured |
| SimpleBench | 40.8% | 74.5% | Muse Spark 1.2 |
| Chess puzzles | Not measured | 27.0% | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts | 1415 | 1489 | Muse Spark 1.2 |
| LMArena Text: expert | 1394 | 1475 | Muse Spark 1.2 |
| LMArena Text: hard prompts in English | 1422 | 1487 | Muse Spark 1.2 |
| LMArena Vision: diagrams | Not measured | 1317 | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | R1 0528 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| AA Math Index | 76.0 | Not measured | Only R1 0528 measured |
| AIME 2025 (Artificial Analysis run) | 76.0% | Not measured | Only R1 0528 measured |
| OTIS Mock AIME | 66.4% | Not measured | Only R1 0528 measured |
| ProofBench | Not measured | 43.0% | Only Muse Spark 1.2 measured |
| MATH level 5 | 96.6% | Not measured | Only R1 0528 measured |
| LMArena Text: math | 1400 | 1484 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1415 | 1480 | Muse Spark 1.2 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | R1 0528 | 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 |
| MMLU Pro (Artificial Analysis run) | 84.9% | Not measured | Only R1 0528 measured |
| SimpleQA Verified | Not measured | 60.3% | Only Muse Spark 1.2 measured |
| LMArena Text: science | 1430 | 1500 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1445 | 1496 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1419 | 1517 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1402 | 1484 | Muse Spark 1.2 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | R1 0528 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1149 | 1313 | Muse Spark 1.2 |
| Design Arena: UI components | 1102 | 1300 | Muse Spark 1.2 |
| Design Arena: game dev | 1098 | 1302 | Muse Spark 1.2 |
| Design Arena: data viz | 1182 | 1334 | Muse Spark 1.2 |
| Design Arena: 3D | 1111 | 1301 | Muse Spark 1.2 |
| Design Arena: all code categories | 1139 | 1313 | Muse Spark 1.2 |
| Design Arena: SVG | 1038 | 1285 | Muse Spark 1.2 |
| Design Arena: ASCII art | Not measured | 1284 | Only Muse Spark 1.2 measured |
| LiveBench design | Not measured | 67.1% | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
| Benchmark | R1 0528 | Muse Spark 1.2 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.5% | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | Not measured | 47.7% | 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 |
| IFBench | 39.6% | Not measured | Only R1 0528 measured |
| Long context reasoning (AA-LCR) | 55.7% | 79.0% | Muse Spark 1.2 |
| DTBench | Not measured | 94.7% | Only Muse Spark 1.2 measured |
| LMCA | Not measured | 48.4% | Only Muse Spark 1.2 measured |
| Fiction.LiveBench | 75.0% | Not measured | Only R1 0528 measured |
| Creative writing (Lech Mazur) | 81.9% | Not measured | Only R1 0528 measured |
| LMArena Text | 1428 | 1482 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1382 | 1462 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1405 | 1436 | Muse Spark 1.2 |
| LMArena Vision | Not measured | 1304 | Only Muse Spark 1.2 measured |
| LMArena Text: English | 1437 | 1483 | Muse Spark 1.2 |
| LMArena Text: non-English | 1412 | 1476 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1442 | 1509 | Muse Spark 1.2 |
| LMArena Text: German | 1404 | Not measured | Only R1 0528 measured |
| LMArena Text: Japanese | 1391 | Not measured | Only R1 0528 measured |
| LMArena Text: Korean | 1360 | 1462 | Muse Spark 1.2 |
| LMArena Text: French | 1417 | 1495 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1411 | 1484 | Muse Spark 1.2 |
| LMArena Text: Russian | 1423 | 1483 | Muse Spark 1.2 |
| LMArena Text: Polish | 1428 | Not measured | Only R1 0528 measured |
| LMArena Text: multi-turn | 1405 | 1502 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1391 | 1473 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1402 | 1453 | Muse Spark 1.2 |
| LMArena Text: entertainment and media | 1400 | 1443 | Muse Spark 1.2 |
| LMArena Vision: English | Not measured | 1291 | Only Muse Spark 1.2 measured |
| LMArena Vision: reading text | Not measured | 1313 | Only Muse Spark 1.2 measured |
| 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 | R1 0528 | 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
R1 0528 costs less
Repository review
50K input + 3K output tokens
R1 0528 costs less
Agent loop
200K input + 10K output tokens
R1 0528 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 | DeepSeek R1 0528 | Meta Muse Spark 1.2 |
|---|---|---|
| Maker | DeepSeek | Meta |
| Weights | Open weights | No public weights listed |
| Released | May 28, 2025 | August 5, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.50 | $1.25 |
| Output $/Mtok | $2.15 | $4.25 |
| Coding index | 71.4 | 65.1 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is R1 0528 better than Muse Spark 1.2 for coding?
Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 65.1 for Muse Spark 1.2, though on 1 benchmark against 2. Pick Muse Spark 1.2 when the context window is larger, 1.05M against 164K tokens, or when what matters is WeirdML or LMArena Text: coding, where it leads.
Which is cheaper, R1 0528 or Muse Spark 1.2?
R1 0528 costs $0.50 per million input tokens and $2.15 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, R1 0528 or Muse Spark 1.2?
Muse Spark 1.2, with 1.05M tokens against 164K.
How many benchmarks is the R1 0528 vs Muse Spark 1.2 comparison based on?
38 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and Muse Spark 1.2's on 2. Where only one model has a result, the page says so instead of naming a winner.