Model comparison
DeepSeek-V2.5 (Sep 2024) vs Granite 4.2 30b
Granite 4.2 30b is the stronger model overall, scoring 41.4 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 0 categories and Granite 4.2 30b in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Granite 4.2 30b leads 40.4 to 31.3.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.0 | 41.4 |
| 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 30b leads
DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Granite 4.2 30b: 40.4 (#127)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Coding | 1310 | 1394 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Granite 4.2 30b leads
DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Granite 4.2 30b: 26.7 (#114)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1375 |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Granite 4.2 30b: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Math | 1289 | — |
Knowledge Granite 4.2 30b leads
DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Granite 4.2 30b: 38.5 (#134)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Expert | 1266 | 1405 |
Multilingual Granite 4.2 30b leads
DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Granite 4.2 30b: 47.4 (#146)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Non-English | 1273 | 1340 |
| LMArena Chinese | 1317 | 1415 |
| LMArena Russian | 1289 | 1342 |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Granite 4.2 30b leads
DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Granite 4.2 30b: 71.3 (#150)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Instruction Following | 1280 | 1346 |
Long Context Granite 4.2 30b leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Granite 4.2 30b: 41.4 (#135)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Longer Query | 1301 | 1359 |
Writing & Preference Granite 4.2 30b leads
DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Granite 4.2 30b: 54.3 (#147)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| LMArena Text | 1294 | 1363 |
| LMArena Creative Writing | 1285 | 1294 |
| LMArena Multi-Turn | 1297 | 1340 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Granite 4.2 30b?
Granite 4.2 30b is the stronger model overall, scoring 41.4 to 37.0 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Granite 4.2 30b better for coding?
Granite 4.2 30b scores higher on coding benchmarks: 40.4 versus 31.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Granite 4.2 30b share?
11 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Granite 4.2 30b has 11.