Model comparison
DeepSeek-V3.1 vs Granite 4.0 H Small
DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 35.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeekSummary
- 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 60.5 to 44.0.
Side by side
| DeepSeek-V3.1 | Granite 4.0 H Small | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 42.2 | 35.9 |
| Released | 2025-08-21 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.95 | — |
| Results tracked | 27 | 19 |
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Category by category
Coding DeepSeek-V3.1 leads
DeepSeek-V3.1: 39.8 (#140), Granite 4.0 H Small: 35.8 (#207)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Coding | 1417 | 1247 |
| WeirdML | 38.4% | — |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.3 (#109), Granite 4.0 H Small: 23.4 (#164)
| 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 leads
DeepSeek-V3.1: 36.1 (#125), Granite 4.0 H Small: 29.3 (#219)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Math | 1420 | 1251 |
| Omni-MATH | — | 29.6% |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.0 (#86), Granite 4.0 H Small: 31.5 (#210)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 5.2% |
| LMArena Expert | 1403 | 1244 |
| MMLU-Pro | — | 56.9% |
| GPQA (HELM) | — | 38.3% |
Multilingual DeepSeek-V3.1 leads
DeepSeek-V3.1: 51.8 (#100), Granite 4.0 H Small: 38.7 (#223)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Non-English | 1400 | 1216 |
| LMArena Chinese | 1470 | 1250 |
| LMArena Russian | 1405 | 1198 |
| LMArena Spanish | 1429 | 1258 |
| LMArena French | 1447 | — |
| LMArena German | 1412 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1337 | — |
Instruction Following DeepSeek-V3.1 leads
DeepSeek-V3.1: 74.1 (#105), Granite 4.0 H Small: 68.9 (#178)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Instruction Following | 1400 | 1221 |
| IFEval | — | 89% |
Long Context Granite 4.0 H Small leads
DeepSeek-V3.1: 36.3 (#227), Granite 4.0 H Small: 37.6 (#209)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Longer Query | 1422 | 1240 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.5 (#93), Granite 4.0 H Small: 44.0 (#222)
| Benchmark | DeepSeek-V3.1 | Granite 4.0 H Small |
|---|---|---|
| LMArena Text | 1420 | 1241 |
| LMArena Creative Writing | 1401 | 1210 |
| LMArena Multi-Turn | 1408 | 1243 |
| EQ-Bench Creative Writing | 1436 | — |
| WildBench | — | 73.9% |
Frequently asked questions
Is DeepSeek-V3.1 better than Granite 4.0 H Small?
DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 35.9 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: 39.8 versus 35.8 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.