Model comparison
DeepSeek LLM 67B vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 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 0 categories and Grok 4.20 (Non-Reasoning) in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.20 (Non-Reasoning) leads 52.8 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 92.2% for Grok 4.20 (Non-Reasoning).
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 24.9 | 48.6 |
| Released | 2023-11-29 | 2026-02-17 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 15 | 46 |
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Category by category
Coding Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 31.9 (#278), Grok 4.20 (Non-Reasoning): 42.1 (#112)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Coding | 1096 | 1459 |
| LMArena WebDev | — | 1375 |
| WeirdML | — | 52.3% |
| ALE-Bench | — | 1,150 |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, Grok 4.20 (Non-Reasoning): 34.4 (#46)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | — | 57.3% |
| τ²-bench Banking | — | 18% |
| LMArena Search | — | 1189 |
| Vending-Bench 2 | — | 4,663 |
Reasoning Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 16.5 (#304), Grok 4.20 (Non-Reasoning): 52.3 (#32)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Chess Puzzles | 0% | 24% |
| LMArena Hard Prompts | 1070 | 1451 |
| Epoch Capabilities Index | 110.5 | 151.98 |
| ARC-AGI-2 | — | 65.1% |
| Kagi LLM Benchmark | — | 75% |
| NYT Connections (extended) | — | 85.4% |
| ARC-AGI-1 | — | 89.5% |
| Thematic Generalization | — | 63.8% |
| DTBench | — | 90.1% |
| LMCA | — | 38.7% |
| ForecastBench | — | 61.4 |
Math Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 8.7 (#324), Grok 4.20 (Non-Reasoning): 48.2 (#65)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 92.2% |
| LMArena Math | 1108 | 1455 |
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 14% |
| MATH Level 5 | 6.4% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 7.0 (#313), Grok 4.20 (Non-Reasoning): 52.8 (#60)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | 24.6% | 89.3% |
| SimpleQA Verified | — | 30.2% |
| LMArena Expert | — | 1439 |
Multimodal Not comparable
DeepSeek LLM 67B: —, Grok 4.20 (Non-Reasoning): 33.3 (#98)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | — | 1263 |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |
Multilingual Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 29.4 (#267), Grok 4.20 (Non-Reasoning): 54.5 (#40)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1073 | 1441 |
| LMArena Chinese | 1132 | 1481 |
| LMArena French | — | 1476 |
| LMArena German | — | 1465 |
| LMArena Japanese | — | 1449 |
| LMArena Korean | — | 1417 |
| LMArena Russian | — | 1458 |
| LMArena Spanish | — | 1443 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 55.4 (#277), Grok 4.20 (Non-Reasoning): 74.8 (#83)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1079 | 1420 |
Long Context Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 33.1 (#265), Grok 4.20 (Non-Reasoning): 45.5 (#34)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1092 | 1437 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
DeepSeek LLM 67B: 31.6 (#282), Grok 4.20 (Non-Reasoning): 65.7 (#44)
| Benchmark | DeepSeek LLM 67B | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1105 | 1451 |
| LMArena Creative Writing | 1067 | 1438 |
| LMArena Multi-Turn | 1082 | 1456 |
| EQ-Bench Creative Writing | — | 1574 |
Frequently asked questions
Is DeepSeek LLM 67B better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Grok 4.20 (Non-Reasoning) better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Grok 4.20 (Non-Reasoning) share?
14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.