# 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.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-granite-4-2-30b
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- 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.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Granite 4.2 30b |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.0 | 41.4 |
| Rank | 197 | 126 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- 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

- 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

- 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

- 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

- 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

- 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

- 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

- 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 |

## FAQ

### 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.