# DeepSeek-V3.1 vs Granite 4.0 H Small

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 36.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-ibm-granite-h-small
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and Granite 4.0 H Small in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 43.8.

## Snapshot

| | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 42.8 | 36.5 |
| Rank | 108 | 214 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 40.3 (#144)
- Granite 4.0 H Small: 36.4 (#209)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Coding | 1417 | 1249 |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.9 (#110)
- Granite 4.0 H Small: 24.4 (#163)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1240 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 38.9 (#122)
- Granite 4.0 H Small: 31.4 (#223)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Math | 1420 | 1247 |
| Omni-MATH | — | 29.6% |

## Knowledge

- DeepSeek-V3.1: 43.7 (#90)
- Granite 4.0 H Small: 32.0 (#215)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 5.2% |
| LMArena Expert | 1405 | 1251 |
| MMLU-Pro | — | 56.9% |
| GPQA (HELM) | — | 38.3% |

## Multilingual

- DeepSeek-V3.1: 51.6 (#106)
- Granite 4.0 H Small: 38.6 (#228)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Non-English | 1400 | 1216 |
| LMArena Chinese | 1469 | 1249 |
| LMArena Russian | 1405 | 1201 |
| LMArena Spanish | 1431 | 1258 |
| LMArena French | 1447 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |

## Instruction Following

- DeepSeek-V3.1: 73.9 (#110)
- Granite 4.0 H Small: 68.7 (#183)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Instruction Following | 1400 | 1222 |
| IFEval | — | 89% |

## Long Context

- DeepSeek-V3.1: 36.3 (#232)
- Granite 4.0 H Small: 37.7 (#213)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Longer Query | 1422 | 1242 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.3 (#98)
- Granite 4.0 H Small: 43.8 (#227)

| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Text | 1420 | 1241 |
| LMArena Creative Writing | 1401 | 1211 |
| LMArena Multi-Turn | 1408 | 1242 |
| EQ-Bench Creative Writing | 1436 | — |
| WildBench | — | 73.9% |

## FAQ

### Is DeepSeek-V3.1 better than Granite 4.0 H Small?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 36.5 on the Noometry Index.

### Is DeepSeek-V3.1 or Granite 4.0 H Small better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 36.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and Granite 4.0 H Small share?

14 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Granite 4.0 H Small has 19.