Model comparison
DeepSeek-R1-Distill-Llama-70B vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 24.9.
- DeepSeek-R1-Distill-Llama-70B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 37.8 | 46.2 |
| Released | 2025-01-20 | 2026-03-09 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 13 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1457 |
| BigCodeBench Complete | 49.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Grok 4.20 Multi-Agent: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 89.6% |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1448 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Grok 4.20 Multi-Agent leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1442 |
| MATH Level 5 | 89.9% | — |
Knowledge Grok 4.20 Multi-Agent leads
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| LMArena Expert | — | 1445 |
Multimodal Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | — | 1440 |
| LMArena Chinese | — | 1475 |
| LMArena French | — | 1466 |
| LMArena German | — | 1456 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1416 |
| LMArena Russian | — | 1457 |
| LMArena Spanish | — | 1447 |
Instruction Following Grok 4.20 Multi-Agent leads
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1420 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | — | 1431 |
Writing & Preference Grok 4.20 Multi-Agent leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | — | 1450 |
| LMArena Creative Writing | — | 1436 |
| LMArena Multi-Turn | — | 1452 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.8 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Grok 4.20 Multi-Agent share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Grok 4.20 Multi-Agent has 20.