Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Muse Spark 1.2
Muse Spark 1.2 has enough public results to be ranked (#44); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
MetaSummary
- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 0 categories and Muse Spark 1.2 in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Muse Spark 1.2 leads 48.6 to 39.8.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 39.7 | 49.8 |
| Released | 2024-05-07 | 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 | 10 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.2 leads
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), Muse Spark 1.2: 48.6 (#49)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1497 |
| BigCodeBench Complete | 59.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 29.5 (#77)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 50.4 (#32)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 155.18 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| LMArena Hard Prompts | — | 1490 |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 43.8 (#68)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| ProofBench | — | 43% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 53.9 (#49)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | — | 60.3% |
| LMArena Expert | — | 1485 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 42.6 (#24)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1304 |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 57.4 (#10)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | — | 1479 |
| LMArena Chinese | — | 1519 |
| LMArena Russian | — | 1494 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 77.1 (#30)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | — | 1466 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 45.4 (#35)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | — | 1483 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Muse Spark 1.2: 72.6 (#14)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | — | 1486 |
| LMArena Creative Writing | — | 1444 |
| EQ-Bench Creative Writing | — | 1840 |
| LMArena Multi-Turn | — | 1504 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Muse Spark 1.2?
Muse Spark 1.2 has enough public results to be ranked (#44); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 39.8 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Muse Spark 1.2 share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Muse Spark 1.2 has 28.