Model comparison
DeepSeek-V2.5 (Sep 2024) vs Muse Glimmer
Muse Glimmer is the stronger model overall, scoring 41.7 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
MetaSummary
- They share 12 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Muse Glimmer in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Muse Glimmer leads 40.4 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Muse Glimmer | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.6 | 41.7 |
| Released | 2024-09-06 | 2026-08-10 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 15 |
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Category by category
Coding Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Muse Glimmer: 40.4 (#142)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Coding | 1309 | 1416 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1355 |
| SciCode | — | 44.9% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Too close to call
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Muse Glimmer: 25.7 (#144)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1396 |
| CritPt | — | 2.6% |
Math Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Muse Glimmer: 38.8 (#125)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Math | 1288 | 1417 |
Knowledge Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Muse Glimmer: 38.5 (#143)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Expert | 1266 | 1386 |
Multilingual Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Muse Glimmer: 50.5 (#122)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 1273 | 1384 |
| LMArena Chinese | 1318 | 1412 |
| LMArena Russian | 1289 | 1390 |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Muse Glimmer: 72.6 (#135)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 1280 | 1375 |
Long Context Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Muse Glimmer: 42.1 (#129)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | 1301 | 1382 |
Writing & Preference Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Muse Glimmer: 57.5 (#126)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Text | 1294 | 1389 |
| LMArena Creative Writing | 1285 | 1339 |
| LMArena Multi-Turn | 1297 | 1399 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Muse Glimmer?
Muse Glimmer is the stronger model overall, scoring 41.7 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Muse Glimmer better for coding?
Muse Glimmer scores higher on coding benchmarks: 40.4 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Muse Glimmer share?
12 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Muse Glimmer has 15.