Muse Spark 1.2 vs Hy-MT2-30B-A3B
Hy-MT2-30B-A3B costs 14.4x less per output token than Muse Spark 1.2 ($0.295 vs $4.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- 55.7
- Overall
- 60.4
- Output $/M
- $4.25
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.295
Muse Spark 1.2 or Hy-MT2-30B-A3B: which to pick
Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Hy-MT2-30B-A3B has none, so the two cannot be ranked on coding.
Pick Hy-MT2-30B-A3B for output tokens 14.4x cheaper ($0.295 vs $4.25 per million).
No benchmark has tested both yet. Muse Spark 1.2 has results on LiveBench coding, LMArena WebDev and AA Coding Index; Hy-MT2-30B-A3B has none yet. Compare them on price and context instead.
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 1.2 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Muse Spark 1.2 has a AA Intelligence Index result, 39.6.
Directional only
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
No call
Only Muse Spark 1.2 has a Design Arena: websites result, 1312.
Directional only
Long documents
Listed context window
Muse Spark 1.2
Muse Spark 1.2 takes 1.05M tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy-MT2-30B-A3B
Muse Spark 1.2 $0.0034, Hy-MT2-30B-A3B $0.0002 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
- Muse Spark 1.2 55.7 from 5 benchmarks, Hy-MT2-30B-A3B not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Muse Spark 1.2 $4.25 against Hy-MT2-30B-A3B $0.295 per million output tokens, 14.4x apart.
- Context window
- Muse Spark 1.2 takes 1.05M tokens, Hy-MT2-30B-A3B 8K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index19 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| LiveBench coding | 78.2% | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1534 | Not measured | Only Muse Spark 1.2 measured |
| AA Coding Index | 72.2 | Not measured | Only Muse Spark 1.2 measured |
| SWE-bench Verified (Vals AI) | 86.6% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | 79.1% | Not measured | Only Muse Spark 1.2 measured |
| Code migration (Vals AI) | 29.9% | Not measured | Only Muse Spark 1.2 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Muse Spark 1.2 measured |
| IOI (Vals AI) | 21.8% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | 69.7% | Not measured | Only Muse Spark 1.2 measured |
| SkillsBench (Vals AI) | 53.0% | Not measured | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Muse Spark 1.2 measured |
| SciCode | 57.4% | Not measured | Only Muse Spark 1.2 measured |
| FrontierSWE | 12.0% | Not measured | Only Muse Spark 1.2 measured |
| WeirdML | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: coding | 1505 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: software and IT | 1505 | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev: React | 1526 | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev: HTML | 1543 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | Not measured | Only Muse Spark 1.2 measured |
| Epoch Capabilities Index | 155.1 | Not measured | Only Muse Spark 1.2 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building web apps | 1221 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building full-stack apps | 1210 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building mobile apps | 1181 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building Android apps | 1222 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building games | 1178 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | 1074 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | 1170 | Not measured | Only Muse Spark 1.2 measured |
| LiveBench research | 67.7% | Not measured | Only Muse Spark 1.2 measured |
| LiveBench browser | 36.0% | Not measured | Only Muse Spark 1.2 measured |
| LiveBench long agentic | 21.3% | Not measured | Only Muse Spark 1.2 measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 60.6% | Not measured | Only Muse Spark 1.2 measured |
| Tax Agent Bench (Vals AI) | 32.8% | Not measured | Only Muse Spark 1.2 measured |
| Legal Research Bench (Vals AI) | 43.8% | Not measured | Only Muse Spark 1.2 measured |
| Excel Modeling Benchmark (Vals AI) | 57.0% | Not measured | Only Muse Spark 1.2 measured |
| BioMysteryBench (Vals AI) | 64.8% | Not measured | Only Muse Spark 1.2 measured |
| APEX-Agents | 45.4% | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| LiveBench reasoning | 90.0% | Not measured | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | 86.1% | Not measured | Only Muse Spark 1.2 measured |
| GPQA Diamond (Artificial Analysis run) | 90.4% | Not measured | Only Muse Spark 1.2 measured |
| Humanity's Last Exam (Artificial Analysis run) | 45.5% | Not measured | Only Muse Spark 1.2 measured |
| SimpleBench | 74.5% | Not measured | Only Muse Spark 1.2 measured |
| Chess puzzles | 27.0% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts | 1489 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: expert | 1475 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts in English | 1487 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision: diagrams | 1317 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| ProofBench | 43.0% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: math | 1484 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: mathematical work | 1480 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| MMLU Pro | 88.3% | Not measured | Only Muse Spark 1.2 measured |
| LegalBench (Vals AI) | 85.3% | Not measured | Only Muse Spark 1.2 measured |
| CorpFin (Vals AI) | 70.9% | Not measured | Only Muse Spark 1.2 measured |
| TaxEval (Vals AI) | 80.4% | Not measured | Only Muse Spark 1.2 measured |
| MortgageTax (Vals AI) | 65.4% | Not measured | Only Muse Spark 1.2 measured |
| MedCode (Vals AI) | 49.4% | Not measured | Only Muse Spark 1.2 measured |
| SimpleQA Verified | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: science | 1500 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: medicine and healthcare | 1496 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: legal and government | 1517 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: business and finance | 1484 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: UI components | 1299 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: game dev | 1300 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: data viz | 1334 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: 3D | 1300 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: all code categories | 1312 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: SVG | 1283 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: ASCII art | 1284 | Not measured | Only Muse Spark 1.2 measured |
| LiveBench design | 67.1% | Not measured | Only Muse Spark 1.2 measured |
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards measured
| Benchmark | Muse Spark 1.2 | Hy-MT2-30B-A3B | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | 68.5% | Not measured | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | 47.7% | Not measured | Only Muse Spark 1.2 measured |
| MedScribe (Vals AI) | 90.1% | Not measured | Only Muse Spark 1.2 measured |
| Vals Multimodal Index | 69.8% | Not measured | Only Muse Spark 1.2 measured |
| Long context reasoning (AA-LCR) | 79.0% | Not measured | Only Muse Spark 1.2 measured |
| DTBench | 94.7% | Not measured | Only Muse Spark 1.2 measured |
| LMCA | 48.4% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text | 1482 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: instruction following | 1462 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: creative writing | 1436 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision | 1304 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: English | 1483 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: non-English | 1476 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Chinese | 1509 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Korean | 1462 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: French | 1495 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Spanish | 1484 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: Russian | 1483 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: multi-turn | 1502 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: longer queries | 1473 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: writing and language | 1453 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: entertainment and media | 1443 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision: English | 1291 | Not measured | Only Muse Spark 1.2 measured |
| LMArena Vision: reading text | 1313 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 23 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
Hy-MT2-30B-A3B costs less
Repository review
50K input + 3K output tokens
Hy-MT2-30B-A3B costs less
Agent loop
200K input + 10K output tokens
Hy-MT2-30B-A3B 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 1.2 | Tencent Hy-MT2-30B-A3B |
|---|---|---|
| Maker | Meta | Tencent |
| Weights | No public weights listed | Open weights |
| Released | August 5, 2026 | August 20, 2026 |
| Context window | 1.05M | 8K |
| Input $/Mtok | $1.25 | $0.074 |
| Output $/Mtok | $4.25 | $0.295 |
| Coding index | 55.7 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.2 better than Hy-MT2-30B-A3B for coding?
Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Hy-MT2-30B-A3B has none, so the two cannot be ranked on coding. Pick Hy-MT2-30B-A3B for output tokens 14.4x cheaper ($0.295 vs $4.25 per million).
Which is cheaper, Muse Spark 1.2 or Hy-MT2-30B-A3B?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Hy-MT2-30B-A3B costs $0.074 and $0.295. Cost per solved task is known for Muse Spark 1.2 only.
Which has the bigger context window, Muse Spark 1.2 or Hy-MT2-30B-A3B?
Muse Spark 1.2, with 1.05M tokens against 8K.
Has any benchmark tested both Muse Spark 1.2 and Hy-MT2-30B-A3B?
No benchmark has tested both yet. Muse Spark 1.2 has results on LiveBench coding, LMArena WebDev and AA Coding Index; Hy-MT2-30B-A3B has none yet. Compare them on price and context instead. Data as of October 22, 2026.