Model comparison
DeepSeek-V2.5 (Sep 2024) vs Granite 3.1 8b Instruct
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 31.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Granite 3.1 8b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 50.0 to 35.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.0 | 31.8 |
| 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 Granite 3.1 8b Instruct leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Granite 3.1 8b Instruct: 33.9 (#232)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Coding | 1310 | 1186 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Granite 3.1 8b Instruct: 23.9 (#113)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.1% |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Granite 3.1 8b Instruct: 21.2 (#204)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1146 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Granite 3.1 8b Instruct: 30.4 (#210)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Math | 1289 | 1152 |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Granite 3.1 8b Instruct: 30.6 (#218)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Expert | 1266 | 1142 |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Granite 3.1 8b Instruct: 31.1 (#255)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Non-English | 1273 | 1099 |
| LMArena Chinese | 1317 | 1145 |
| LMArena Russian | 1289 | 1092 |
| LMArena French | 1288 | — |
| 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): 67.7 (#189), Granite 3.1 8b Instruct: 58.9 (#254)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Instruction Following | 1280 | 1131 |
Long Context DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Granite 3.1 8b Instruct: 35.2 (#236)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Longer Query | 1301 | 1162 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Granite 3.1 8b Instruct: 35.7 (#261)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 3.1 8b Instruct |
|---|---|---|
| LMArena Text | 1294 | 1150 |
| LMArena Creative Writing | 1285 | 1129 |
| LMArena Multi-Turn | 1297 | 1108 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Granite 3.1 8b Instruct?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 31.8 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Granite 3.1 8b Instruct better for coding?
Granite 3.1 8b Instruct scores higher on coding benchmarks: 33.9 versus 31.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Granite 3.1 8b Instruct share?
12 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Granite 3.1 8b Instruct has 13.