Model comparison
DeepSeek-V2.5 (Sep 2024) vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
MetaSummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark 1.1 leads 73.6 to 50.0.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.0 | 49.9 |
| Released | 2024-09-06 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 22 | 36 |
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Category by category
Coding Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Muse Spark 1.1: 50.8 (#38)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1310 | 1497 |
| DeepSWE | — | 53.3% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Muse Spark 1.1: 33.9 (#45)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Muse Spark 1.1: 45.9 (#41)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1486 |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| Epoch Capabilities Index | — | 154.32 |
Math Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Muse Spark 1.1: 44.0 (#67)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1289 | 1477 |
| ProofBench | — | 39% |
Knowledge Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Muse Spark 1.1: 52.8 (#55)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1266 | 1480 |
| SimpleQA Verified | — | 57.8% |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, Muse Spark 1.1: 41.9 (#28)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1292 |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Muse Spark 1.1: 56.8 (#16)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1273 | 1471 |
| LMArena Chinese | 1317 | 1518 |
| LMArena French | 1288 | 1494 |
| LMArena German | 1258 | 1466 |
| LMArena Japanese | 1228 | 1445 |
| LMArena Korean | 1209 | 1459 |
| LMArena Russian | 1289 | 1482 |
| LMArena Spanish | 1248 | 1471 |
Instruction Following Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Muse Spark 1.1: 76.8 (#36)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1457 |
Long Context Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Muse Spark 1.1: 44.8 (#55)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1301 | 1463 |
Writing & Preference Muse Spark 1.1 leads
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Muse Spark 1.1: 73.6 (#11)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1294 | 1479 |
| LMArena Creative Writing | 1285 | 1440 |
| LMArena Multi-Turn | 1297 | 1484 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.0 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 31.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Muse Spark 1.1 share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Muse Spark 1.1 has 36.