Model comparison
DeepSeek-V2.5 (Sep 2024) vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 37.6 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeek
MetaSummary
- They share 14 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 25.6.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.6 | 50.3 |
| Released | 2024-09-06 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 22 | 31 |
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Category by category
Coding Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Muse Spark 1.2: 49.2 (#51)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Coding | 1309 | 1495 |
| DeepSWE | — | 54.9% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1533 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
| 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 1.2: 29.4 (#87)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |
Reasoning Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Muse Spark 1.2: 51.3 (#34)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1486 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| Epoch Capabilities Index | — | 154.87 |
Math Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Muse Spark 1.2: 46.4 (#70)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1288 | 1471 |
| ProofBench | — | 43% |
Knowledge Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Muse Spark 1.2: 54.1 (#53)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1266 | 1480 |
| SimpleQA Verified | — | 60.3% |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, Muse Spark 1.2: 43.4 (#25)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1305 |
Multilingual Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Muse Spark 1.2: 57.1 (#11)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1273 | 1478 |
| LMArena Chinese | 1318 | 1511 |
| LMArena French | 1289 | 1513 |
| LMArena Russian | 1289 | 1487 |
| LMArena Spanish | 1248 | 1498 |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
Instruction Following Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Muse Spark 1.2: 76.7 (#36)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1461 |
Long Context Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Muse Spark 1.2: 45.2 (#48)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1301 | 1475 |
Writing & Preference Muse Spark 1.2 leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Muse Spark 1.2: 72.3 (#14)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1294 | 1482 |
| LMArena Creative Writing | 1285 | 1449 |
| LMArena Multi-Turn | 1297 | 1494 |
| EQ-Bench Creative Writing | — | 1840 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Muse Spark 1.2 share?
14 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Muse Spark 1.2 has 31.