Model comparison
Claude 2.1 vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 25.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Grok 4.20 Multi-Agent leads 39.4 to 10.2.
Side by side
| Claude 2.1 | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | Anthropic | xAI |
| Noometry Index | 25.2 | 46.2 |
| Released | 2023-11-21 | 2026-03-09 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 7 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Claude 2.1: 26.2 (#327), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| WeirdML | 7.1% | — |
| LMArena Coding | — | 1457 |
Agentic & Tool Use Not comparable
Claude 2.1: —, Grok 4.20 Multi-Agent: —
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
Claude 2.1: 21.4 (#221), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| NYT Connections (extended) | — | 89.6% |
| LMArena Hard Prompts | — | 1448 |
| DTBench | 51% | — |
| Epoch Capabilities Index | 119.27 | — |
| ForecastBench | 54.2 | — |
Math Grok 4.20 Multi-Agent leads
Claude 2.1: 10.2 (#315), Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | — | 1442 |
Knowledge Grok 4.20 Multi-Agent leads
Claude 2.1: 15.4 (#292), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| GPQA Diamond | 33% | — |
| LMArena Expert | — | 1445 |
| MMLU | 73.5% | — |
Multimodal Not comparable
Claude 2.1: —, Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual Not comparable
Claude 2.1: —, Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | Claude 2.1 | 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 Not comparable
Claude 2.1: —, Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | — | 1420 |
Long Context Not comparable
Claude 2.1: —, Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | — | 1431 |
Writing & Preference Not comparable
Claude 2.1: —, Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | Claude 2.1 | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | — | 1450 |
| LMArena Creative Writing | — | 1436 |
| LMArena Multi-Turn | — | 1452 |
Frequently asked questions
Is Claude 2.1 better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 25.2 on the Noometry Index.
Is Claude 2.1 or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and Grok 4.20 Multi-Agent share?
0 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and Grok 4.20 Multi-Agent has 20.