Model comparison
DeepSeek-V2.5 (Sep 2024) vs Granite 3.0 8b Instruct
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.6 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 8 categories and Granite 3.0 8b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 49.8 to 31.1.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.6% for DeepSeek-V2.5 (Sep 2024) and 29.3% for Granite 3.0 8b Instruct.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.6 | 31.6 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 14 |
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Category by category
Coding DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Granite 3.0 8b Instruct: 29.7 (#301)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.6% | 29.3% |
| LMArena Coding | 1309 | 1112 |
| BigCodeBench Complete | 53.2% | 35.4% |
| Aider Polyglot | 17.8% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Granite 3.0 8b Instruct: 20.9 (#230)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1092 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Granite 3.0 8b Instruct: 32.8 (#210)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Math | 1288 | 1143 |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Granite 3.0 8b Instruct: 29.6 (#236)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Expert | 1266 | 1087 |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Granite 3.0 8b Instruct: 27.2 (#276)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Non-English | 1273 | 1037 |
| LMArena Chinese | 1318 | 1063 |
| LMArena Russian | 1289 | 1060 |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Granite 3.0 8b Instruct: 56.0 (#276)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Instruction Following | 1280 | 1088 |
Long Context DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Granite 3.0 8b Instruct: 34.0 (#252)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Longer Query | 1301 | 1122 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Granite 3.0 8b Instruct: 31.1 (#285)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Text | 1294 | 1096 |
| LMArena Creative Writing | 1285 | 1071 |
| LMArena Multi-Turn | 1297 | 1063 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Granite 3.0 8b Instruct?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Granite 3.0 8b Instruct better for coding?
DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 29.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Granite 3.0 8b Instruct share?
14 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Granite 3.0 8b Instruct has 14.