Model comparison
DeepSeek-R1 vs Grok 4
Grok 4 is the stronger model overall, scoring 48.1 to 42.3 on the Noometry Index.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. DeepSeek-R1 scores higher in 2 categories and Grok 4 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4 leads 36.7 to 18.6.
- The biggest single-benchmark swing is ARC-AGI-1: 21.2% for DeepSeek-R1 and 66.7% for Grok 4.
Side by side
| DeepSeek-R1 | Grok 4 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 42.3 | 48.1 |
| Released | 2025-01-20 | 2025-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 164K | — |
| Max output | 64K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $2.15 | — |
| Results tracked | 52 | 48 |
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Category by category
Coding Grok 4 leads
DeepSeek-R1: 46.3 (#68), Grok 4: 50.3 (#46)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| Aider Polyglot | 71.4% | 79.6% |
| WeirdML | 41.6% | 45.7% |
| LMArena Coding | 1427 | 1408 |
| SciCode | 35.7% | — |
| LiveBench Coding | 66.7% | — |
| ALE-Bench | 804.12 | — |
| AlgoTune | 1.7 | — |
Agentic & Tool Use Grok 4 leads
DeepSeek-R1: 30.7 (#75), Grok 4: 32.3 (#68)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| DeepResearch Bench | 35.1% | 47.3% |
| BALROG | 34.9% | 43.6% |
| METR Time Horizons | 53.8% | 66.6% |
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| Cybench | — | 43% |
| LMArena Search | — | 1142 |
Reasoning Grok 4 leads
DeepSeek-R1: 18.6 (#278), Grok 4: 36.7 (#65)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| ARC-AGI-2 | 1.3% | 16% |
| SimpleBench | 40.8% | 60.5% |
| Kagi LLM Benchmark | 69.4% | 73.6% |
| ARC-AGI-1 | 21.2% | 66.7% |
| LMArena Hard Prompts | 1416 | 1409 |
| Epoch Capabilities Index | 141.29 | 146.44 |
| ForecastBench | 60 | 60.9 |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 28% |
| LiveBench Reasoning | 83.2% | — |
| LiveBench Data Analysis | 69.8% | — |
| LiveBench | 71.6% | — |
Math Grok 4 leads
DeepSeek-R1: 43.8 (#79), Grok 4: 48.4 (#64)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | 84% |
| Omni-MATH | 42.4% | 60.3% |
| LMArena Math | 1400 | 1422 |
| LiveBench Math | 80.7% | — |
| MATH Level 5 | 96.6% | — |
| FrontierMath (Feb 2025 set) | — | 19.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Grok 4 leads
DeepSeek-R1: 44.5 (#87), Grok 4: 53.8 (#55)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| GPQA Diamond | 76.3% | 87% |
| MMLU-Pro | 79.3% | 85.1% |
| Confabulations | 12.7% | 12.4% |
| GPQA (HELM) | 66.6% | 72.7% |
| LMArena Expert | 1394 | 1415 |
| Vectara Hallucination Rate | 11.3% | — |
Multimodal Not comparable
DeepSeek-R1: —, Grok 4: 33.7 (#94)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| LMArena Vision | — | 1210 |
| GeoBench | — | 45% |
Multilingual Too close to call
DeepSeek-R1: 52.4 (#85), Grok 4: 51.8 (#103)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| LMArena Non-English | 1412 | 1403 |
| LMArena Chinese | 1442 | 1427 |
| LMArena French | 1417 | 1418 |
| LMArena German | 1404 | 1429 |
| LMArena Japanese | 1391 | 1394 |
| LMArena Korean | 1360 | 1377 |
| LMArena Russian | 1423 | 1410 |
| LMArena Spanish | 1411 | 1420 |
Instruction Following Grok 4 leads
DeepSeek-R1: 72.0 (#143), Grok 4: 79.2 (#5)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| IFEval | 78.4% | 94.9% |
| LMArena Instruction Following | 1382 | 1387 |
| LiveBench Instruction Following | 80.5% | — |
Long Context Grok 4 leads
DeepSeek-R1: 45.4 (#36), Grok 4: 63.1 (#4)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| Fiction.LiveBench | 75% | 94.4% |
| LMArena Longer Query | 1391 | 1409 |
Writing & Preference DeepSeek-R1 leads
DeepSeek-R1: 61.4 (#88), Grok 4: 58.5 (#116)
| Benchmark | DeepSeek-R1 | Grok 4 |
|---|---|---|
| LMArena Text | 1428 | 1411 |
| LMArena Creative Writing | 1405 | 1397 |
| Short-Story Creative Writing | 83% | 76.9% |
| WildBench | 82.8% | 79.7% |
| LMArena Multi-Turn | 1405 | 1416 |
| EQ-Bench Creative Writing | 1500 | — |
| LiveBench Language | 48.5% | — |
Frequently asked questions
Is DeepSeek-R1 better than Grok 4?
Grok 4 is the stronger model overall, scoring 48.1 to 42.3 on the Noometry Index.
Is DeepSeek-R1 or Grok 4 better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 46.3 in the Noometry coding category.
How many benchmarks do DeepSeek-R1 and Grok 4 share?
38 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Grok 4 has 48.