Model comparison
Grok 4.20 Multi-Agent vs Mercury
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.6 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 6 categories and Mercury in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 17.5.
Side by side
| Grok 4.20 Multi-Agent | Mercury | |
|---|---|---|
| Provider | xAI | Inception |
| Noometry Index | 46.2 | 37.6 |
| Released | 2026-03-09 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 9 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Mercury: 38.7 (#170)
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Coding | 1457 | 1322 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Mercury: —
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Mercury: 17.5 (#293)
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1285 |
| Kagi LLM Benchmark | — | 21.6% |
| NYT Connections (extended) | 89.6% | — |
Math Not comparable
Grok 4.20 Multi-Agent: 39.4 (#104), Mercury: —
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Math | 1442 | — |
Knowledge Not comparable
Grok 4.20 Multi-Agent: 40.4 (#119), Mercury: —
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Expert | 1445 | — |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 40.5 (#48), Mercury: —
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.4 (#43), Mercury: 41.6 (#206)
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Non-English | 1440 | 1260 |
| 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
Grok 4.20 Multi-Agent: 74.8 (#84), Mercury: 65.2 (#224)
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Instruction Following | 1420 | 1239 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#88), Mercury: 38.4 (#198)
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Longer Query | 1431 | 1266 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Mercury: 46.2 (#221)
| Benchmark | Grok 4.20 Multi-Agent | Mercury |
|---|---|---|
| LMArena Text | 1450 | 1282 |
| LMArena Creative Writing | 1436 | 1191 |
| LMArena Multi-Turn | 1452 | 1282 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Mercury?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.6 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Mercury better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 38.7 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and Mercury share?
8 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mercury has 9.