Model comparison
DeepSeek LLM 67B vs Grok 3
Grok 3 is the stronger model overall, scoring 39.9 to 24.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeekSummary
- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and Grok 3 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 3 leads 46.2 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 88.7% for Grok 3.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Grok 3 | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 24.9 | 39.9 |
| Released | 2023-11-29 | 2025-04-09 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 40 |
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Category by category
Coding Grok 3 leads
DeepSeek LLM 67B: 31.9 (#278), Grok 3: 41.9 (#115)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| LMArena Coding | 1096 | 1432 |
| Aider Polyglot | — | 53.3% |
| WeirdML | — | 37.2% |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Grok 3: 30.5 (#76)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| BALROG | — | 29.5% |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 16.5 (#304), Grok 3: 13.7 (#333)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1434 |
| Epoch Capabilities Index | 110.5 | 138.33 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 5.5% |
| Chess Puzzles | 0% | — |
Math Grok 3 leads
DeepSeek LLM 67B: 8.7 (#324), Grok 3: 38.0 (#145)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 55.6% |
| LMArena Math | 1108 | 1391 |
| MATH Level 5 | 6.4% | 88.7% |
| Omni-MATH | — | 46.4% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Grok 3 leads
DeepSeek LLM 67B: 7.0 (#313), Grok 3: 46.2 (#82)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| GPQA Diamond | 24.6% | 75.8% |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1421 |
Multilingual Grok 3 leads
DeepSeek LLM 67B: 29.4 (#267), Grok 3: 52.3 (#87)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| LMArena Non-English | 1073 | 1410 |
| LMArena Chinese | 1132 | 1448 |
| LMArena French | — | 1460 |
| LMArena German | — | 1431 |
| LMArena Japanese | — | 1387 |
| LMArena Korean | — | 1373 |
| LMArena Russian | — | 1416 |
| LMArena Spanish | — | 1417 |
Instruction Following Grok 3 leads
DeepSeek LLM 67B: 55.4 (#277), Grok 3: 75.0 (#73)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1409 |
| IFEval | — | 88.4% |
Long Context Grok 3 leads
DeepSeek LLM 67B: 33.1 (#265), Grok 3: 38.7 (#192)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| LMArena Longer Query | 1092 | 1439 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference Grok 3 leads
DeepSeek LLM 67B: 31.6 (#282), Grok 3: 55.8 (#141)
| Benchmark | DeepSeek LLM 67B | Grok 3 |
|---|---|---|
| LMArena Text | 1105 | 1426 |
| LMArena Creative Writing | 1067 | 1414 |
| LMArena Multi-Turn | 1082 | 1425 |
| Short-Story Creative Writing | — | 76.4% |
| EQ-Bench Creative Writing | — | 1186 |
| WildBench | — | 84.9% |
Frequently asked questions
Is DeepSeek LLM 67B better than Grok 3?
Grok 3 is the stronger model overall, scoring 39.9 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Grok 3 better for coding?
Grok 3 scores higher on coding benchmarks: 41.9 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Grok 3 share?
14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Grok 3 has 40.