Model comparison
DeepSeek-V3.1 vs Grok 4
Grok 4 is the stronger model overall, scoring 47.8 to 42.2 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and Grok 4 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 36.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 52.8% for DeepSeek-V3.1 and 94.4% for Grok 4.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Grok 4 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.2 | 47.8 |
| Released | 2025-08-21 | 2025-07-09 |
| Weights | Open | Proprietary |
| Context window | 164K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.95 | — |
| Results tracked | 27 | 48 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4 leads
DeepSeek-V3.1: 39.8 (#140), Grok 4: 49.9 (#44)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| WeirdML | 38.4% | 45.7% |
| LMArena Coding | 1417 | 1408 |
| Aider Polyglot | — | 79.6% |
Agentic & Tool Use Not comparable
DeepSeek-V3.1: —, Grok 4: 32.1 (#62)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| Cybench | — | 43% |
| DeepResearch Bench | — | 47.3% |
| BALROG | — | 43.6% |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 66.6% |
Reasoning Grok 4 leads
DeepSeek-V3.1: 27.3 (#109), Grok 4: 36.9 (#59)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| SimpleBench | 40% | 60.5% |
| Kagi LLM Benchmark | 53.2% | 73.6% |
| LMArena Hard Prompts | 1417 | 1409 |
| Epoch Capabilities Index | 139.92 | 146.46 |
| ForecastBench | 58 | 60.9 |
| ARC-AGI-2 | — | 16% |
| ARC-AGI-1 | — | 66.7% |
| Chess Puzzles | — | 28% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
Math Grok 4 leads
DeepSeek-V3.1: 36.1 (#125), Grok 4: 46.5 (#58)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| LMArena Math | 1420 | 1422 |
| OTIS Mock AIME 2024-2025 | — | 84% |
| Omni-MATH | — | 60.3% |
| FrontierMath (Feb 2025 set) | — | 19.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Grok 4 leads
DeepSeek-V3.1: 43.0 (#86), Grok 4: 53.7 (#50)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| LMArena Expert | 1403 | 1417 |
| GPQA Diamond | — | 87% |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | — | 72.7% |
Multimodal Not comparable
DeepSeek-V3.1: —, Grok 4: 33.1 (#89)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| LMArena Vision | — | 1211 |
| GeoBench | — | 45% |
Multilingual Too close to call
DeepSeek-V3.1: 51.8 (#100), Grok 4: 52.0 (#98)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| LMArena Non-English | 1400 | 1403 |
| LMArena Chinese | 1470 | 1428 |
| LMArena French | 1447 | 1418 |
| LMArena German | 1412 | 1429 |
| LMArena Japanese | 1374 | 1396 |
| LMArena Korean | 1337 | 1376 |
| LMArena Russian | 1405 | 1409 |
| LMArena Spanish | 1429 | 1419 |
Instruction Following Grok 4 leads
DeepSeek-V3.1: 74.1 (#105), Grok 4: 79.4 (#4)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1387 |
| IFEval | — | 94.9% |
Long Context Grok 4 leads
DeepSeek-V3.1: 36.3 (#227), Grok 4: 63.1 (#4)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| Fiction.LiveBench | 52.8% | 94.4% |
| LMArena Longer Query | 1422 | 1409 |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.5 (#93), Grok 4: 58.7 (#111)
| Benchmark | DeepSeek-V3.1 | Grok 4 |
|---|---|---|
| LMArena Text | 1420 | 1412 |
| LMArena Creative Writing | 1401 | 1397 |
| LMArena Multi-Turn | 1408 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| EQ-Bench Creative Writing | 1436 | — |
| WildBench | — | 79.7% |
Frequently asked questions
Is DeepSeek-V3.1 better than Grok 4?
Grok 4 is the stronger model overall, scoring 47.8 to 42.2 on the Noometry Index.
Is DeepSeek-V3.1 or Grok 4 better for coding?
Grok 4 scores higher on coding benchmarks: 49.9 versus 39.8 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1 and Grok 4 share?
23 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Grok 4 has 48.