Model comparison
DeepSeek LLM 67B vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 24.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeek
MetaSummary
- They share 11 benchmarks with published results for both. DeepSeek LLM 67B 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 knowledge, where Muse Spark 1.1 leads 53.1 to 7.0.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Muse Spark 1.1 | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 24.9 | 49.9 |
| Released | 2023-11-29 | 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 | 15 | 37 |
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Category by category
Coding Muse Spark 1.1 leads
DeepSeek LLM 67B: 31.9 (#278), Muse Spark 1.1: 51.3 (#40)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1096 | 1498 |
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Muse Spark 1.1: 30.8 (#73)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
DeepSeek LLM 67B: 16.5 (#304), Muse Spark 1.1: 47.1 (#44)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1486 |
| Epoch Capabilities Index | 110.5 | 154.21 |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| Chess Puzzles | 0% | — |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
Math Muse Spark 1.1 leads
DeepSeek LLM 67B: 8.7 (#324), Muse Spark 1.1: 45.5 (#76)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1108 | 1483 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| ProofBench | — | 39% |
| MATH Level 5 | 6.4% | — |
Knowledge Muse Spark 1.1 leads
DeepSeek LLM 67B: 7.0 (#313), Muse Spark 1.1: 53.1 (#59)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| SimpleQA Verified | — | 57.8% |
| LMArena Expert | — | 1478 |
Multimodal Not comparable
DeepSeek LLM 67B: —, Muse Spark 1.1: 42.6 (#29)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
DeepSeek LLM 67B: 29.4 (#267), Muse Spark 1.1: 56.7 (#17)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1073 | 1472 |
| LMArena Chinese | 1132 | 1518 |
| LMArena French | — | 1494 |
| LMArena German | — | 1466 |
| LMArena Japanese | — | 1451 |
| LMArena Korean | — | 1458 |
| LMArena Russian | — | 1483 |
| LMArena Spanish | — | 1464 |
Instruction Following Muse Spark 1.1 leads
DeepSeek LLM 67B: 55.4 (#277), Muse Spark 1.1: 76.5 (#39)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1457 |
Long Context Muse Spark 1.1 leads
DeepSeek LLM 67B: 33.1 (#265), Muse Spark 1.1: 44.8 (#58)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1092 | 1462 |
Writing & Preference Muse Spark 1.1 leads
DeepSeek LLM 67B: 31.6 (#282), Muse Spark 1.1: 73.4 (#11)
| Benchmark | DeepSeek LLM 67B | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1105 | 1479 |
| LMArena Creative Writing | 1067 | 1437 |
| LMArena Multi-Turn | 1082 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is DeepSeek LLM 67B better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Muse Spark 1.1 share?
11 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Muse Spark 1.1 has 37.