Model comparison
DeepSeek-V2.5 (Sep 2024) vs Granite 4.2 3b
Granite 4.2 3b is the stronger model overall, scoring 39.0 to 37.0 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeekSummary
- They share 11 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 4 categories and Granite 4.2 3b in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Granite 4.2 3b leads 39.4 to 31.3.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.0 | 39.0 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 11 |
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Category by category
Coding Granite 4.2 3b leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Granite 4.2 3b: 39.4 (#146)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Coding | 1310 | 1363 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Too close to call
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Granite 4.2 3b: 25.0 (#136)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1308 |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Granite 4.2 3b: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Math | 1289 | — |
Knowledge Granite 4.2 3b leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Granite 4.2 3b: 35.6 (#169)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Expert | 1266 | 1313 |
Multilingual Too close to call
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Granite 4.2 3b: 42.4 (#193)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Non-English | 1273 | 1268 |
| LMArena Chinese | 1317 | 1268 |
| LMArena Russian | 1289 | 1249 |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Too close to call
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Granite 4.2 3b: 67.2 (#195)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Instruction Following | 1280 | 1271 |
Long Context Too close to call
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Granite 4.2 3b: 39.3 (#179)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Longer Query | 1301 | 1293 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Granite 4.2 3b: 47.9 (#202)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 3b |
|---|---|---|
| LMArena Text | 1294 | 1295 |
| LMArena Creative Writing | 1285 | 1215 |
| LMArena Multi-Turn | 1297 | 1293 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Granite 4.2 3b?
Granite 4.2 3b is the stronger model overall, scoring 39.0 to 37.0 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Granite 4.2 3b better for coding?
Granite 4.2 3b scores higher on coding benchmarks: 39.4 versus 31.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Granite 4.2 3b share?
11 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Granite 4.2 3b has 11.