Model comparison
DeepSeek-V2.5 (Sep 2024) vs Muse Glimmer
Muse Glimmer is the stronger model overall, scoring 41.3 to 37.0 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; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Muse Glimmer leads 50.6 to 42.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Muse Glimmer | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.0 | 41.3 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 13 |
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Category by category
Coding Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Muse Glimmer: 38.7 (#157)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Coding | 1310 | 1417 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1355 |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Muse Glimmer: 27.2 (#111)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1395 |
Math Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Muse Glimmer: 36.1 (#128)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Math | 1289 | 1419 |
Knowledge Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Muse Glimmer: 37.9 (#140)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Expert | 1266 | 1388 |
Multilingual Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Muse Glimmer: 50.6 (#117)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 1273 | 1384 |
| LMArena Chinese | 1317 | 1412 |
| LMArena Russian | 1289 | 1393 |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Muse Glimmer: 72.7 (#134)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 1280 | 1374 |
Long Context Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Muse Glimmer: 42.1 (#124)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | 1301 | 1381 |
Writing & Preference Muse Glimmer leads
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Muse Glimmer: 57.7 (#122)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Muse Glimmer |
|---|---|---|
| LMArena Text | 1294 | 1389 |
| LMArena Creative Writing | 1285 | 1338 |
| LMArena Multi-Turn | 1297 | 1398 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Muse Glimmer?
Muse Glimmer is the stronger model overall, scoring 41.3 to 37.0 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Muse Glimmer better for coding?
Muse Glimmer scores higher on coding benchmarks: 38.7 versus 31.3 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 13.