Model comparison
Claude 3.7 Sonnet vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 39.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 1 category and Grok 4.20 Multi-Agent in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 18.7.
Side by side
| Claude 3.7 Sonnet | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | Anthropic | xAI |
| Noometry Index | 39.4 | 45.5 |
| Released | 2025-02-24 | 2026-03-09 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 58 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Claude 3.7 Sonnet: 41.1 (#120), Grok 4.20 Multi-Agent: 42.4 (#91)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1361 | 1458 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 33.9 (#46), Grok 4.20 Multi-Agent: —
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| LMArena Search | — | 1204 |
| METR Time Horizons | 60% | — |
Reasoning Grok 4.20 Multi-Agent leads
Claude 3.7 Sonnet: 18.7 (#252), Grok 4.20 Multi-Agent: 42.4 (#44)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1448 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| NYT Connections (extended) | — | 89.6% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Too close to call
Claude 3.7 Sonnet: 35.7 (#137), Grok 4.20 Multi-Agent: 36.6 (#106)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1336 | 1441 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Too close to call
Claude 3.7 Sonnet: 39.7 (#117), Grok 4.20 Multi-Agent: 39.7 (#116)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1321 | 1445 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal Grok 4.20 Multi-Agent leads
Claude 3.7 Sonnet: 33.1 (#90), Grok 4.20 Multi-Agent: 39.8 (#44)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | 1169 | 1259 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Grok 4.20 Multi-Agent leads
Claude 3.7 Sonnet: 44.3 (#174), Grok 4.20 Multi-Agent: 54.6 (#40)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1296 | 1440 |
| LMArena Chinese | 1299 | 1475 |
| LMArena French | 1302 | 1467 |
| LMArena German | 1301 | 1456 |
| LMArena Japanese | 1268 | 1405 |
| LMArena Korean | 1249 | 1416 |
| LMArena Russian | 1311 | 1457 |
| LMArena Spanish | 1299 | 1447 |
Instruction Following Grok 4.20 Multi-Agent leads
Claude 3.7 Sonnet: 73.1 (#120), Grok 4.20 Multi-Agent: 75.0 (#80)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1352 | 1420 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Grok 4.20 Multi-Agent: 43.7 (#84)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1373 | 1430 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Grok 4.20 Multi-Agent leads
Claude 3.7 Sonnet: 54.6 (#145), Grok 4.20 Multi-Agent: 64.1 (#57)
| Benchmark | Claude 3.7 Sonnet | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1314 | 1450 |
| LMArena Creative Writing | 1332 | 1435 |
| LMArena Multi-Turn | 1339 | 1451 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 39.4 on the Noometry Index.
Is Claude 3.7 Sonnet or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 41.1 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Grok 4.20 Multi-Agent share?
18 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Grok 4.20 Multi-Agent has 20.