Model comparison
Muse Spark 1.3 vs Yi-Large
Muse Spark 1.3 has enough public results to be ranked (#27); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in coding, where Muse Spark 1.3 leads 56.6 to 36.7.
Side by side
| Muse Spark 1.3 | Yi-Large | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 54.8 | 38.1 |
| Released | 2026-09-02 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $4.25 | — |
| Results tracked | 37 | 3 |
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Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), Yi-Large: 36.7 (#203)
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| CursorBench | 41.6% | — |
| LMArena WebDev | 1657 | — |
| SciCode | 59.7% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1514 | — |
| BigCodeBench Complete | — | 47.2% |
Agentic & Tool Use Not comparable
Muse Spark 1.3: 38.6 (#30), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| APEX-Agents | 57.8% | — |
| GDP.pdf | 27.6% | — |
Reasoning Not comparable
Muse Spark 1.3: 54.0 (#27), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| NYT Connections (extended) | 85.1% | — |
| CritPt | 26% | — |
| Chess Puzzles | 38% | — |
| LMArena Hard Prompts | 1503 | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 96.5% | — |
| LMCA | 53.9% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.75 | — |
Math Not comparable
Muse Spark 1.3: 73.1 (#21), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 58% | — |
| LMArena Math | 1494 | — |
Knowledge Not comparable
Muse Spark 1.3: 42.6 (#95), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| LMArena Expert | 1516 | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Not comparable
Muse Spark 1.3: 57.4 (#8), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| LMArena Non-English | 1481 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1524 | — |
| LMArena German | 1515 | — |
| LMArena Japanese | 1474 | — |
| LMArena Korean | 1501 | — |
| LMArena Russian | 1490 | — |
| LMArena Spanish | 1490 | — |
Instruction Following Not comparable
Muse Spark 1.3: 77.5 (#22), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
Muse Spark 1.3: 45.6 (#32), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1488 | — |
Writing & Preference Not comparable
Muse Spark 1.3: 73.6 (#9), Yi-Large: —
| Benchmark | Muse Spark 1.3 | Yi-Large |
|---|---|---|
| LMArena Text | 1490 | — |
| LMArena Creative Writing | 1455 | — |
| EQ-Bench Creative Writing | 1906 | — |
| LMArena Multi-Turn | 1482 | — |
Frequently asked questions
Is Muse Spark 1.3 better than Yi-Large?
Muse Spark 1.3 has enough public results to be ranked (#27); Yi-Large does not yet, so treat this comparison as directional.
Is Muse Spark 1.3 or Yi-Large better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 36.7 in the Noometry coding category.
How many benchmarks do Muse Spark 1.3 and Yi-Large share?
0 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Yi-Large has 3.