Model comparison
DeepSeek-V3.1 vs Grok 4.1
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 41.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 3 categories and Grok 4.1 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4.1 leads 43.2 to 36.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Grok 4.1 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.8 | 41.5 |
| Released | 2025-08-21 | 2025-11-17 |
| Weights | Open | Proprietary |
| 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: 40.3 (#144), Grok 4.1: 33.7 (#253)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Coding | 1417 | 1445 |
| LMArena WebDev | — | 1214 |
| WeirdML | 38.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1: —, Grok 4.1: 34.1 (#49)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| Cybench | — | 39% |
Reasoning Grok 4.1 leads
DeepSeek-V3.1: 27.9 (#110), Grok 4.1: 29.5 (#91)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1435 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math Too close to call
DeepSeek-V3.1: 38.9 (#122), Grok 4.1: 38.9 (#120)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Math | 1420 | 1422 |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.7 (#90), Grok 4.1: 39.5 (#133)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Expert | 1405 | 1417 |
| Vectara Hallucination Rate | 5.5% | — |
Multilingual Grok 4.1 leads
DeepSeek-V3.1: 51.6 (#106), Grok 4.1: 53.4 (#68)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Non-English | 1400 | 1425 |
| LMArena Chinese | 1469 | 1465 |
| LMArena French | 1447 | 1448 |
| LMArena German | 1411 | 1446 |
| LMArena Japanese | 1378 | 1397 |
| LMArena Korean | 1337 | 1407 |
| LMArena Russian | 1405 | 1434 |
| LMArena Spanish | 1431 | 1438 |
Instruction Following Too close to call
DeepSeek-V3.1: 73.9 (#110), Grok 4.1: 73.8 (#111)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1400 |
Long Context Grok 4.1 leads
DeepSeek-V3.1: 36.3 (#232), Grok 4.1: 43.2 (#100)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Longer Query | 1422 | 1416 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference Grok 4.1 leads
DeepSeek-V3.1: 60.3 (#98), Grok 4.1: 62.4 (#75)
| Benchmark | DeepSeek-V3.1 | Grok 4.1 |
|---|---|---|
| LMArena Text | 1420 | 1437 |
| LMArena Creative Writing | 1401 | 1411 |
| LMArena Multi-Turn | 1408 | 1437 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Grok 4.1?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 41.5 on the Noometry Index.
Is DeepSeek-V3.1 or Grok 4.1 better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 33.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1 and Grok 4.1 share?
17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 4.1 has 19.