Model comparison
Grok 4.20 Multi-Agent vs Laguna M.1
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 23.1.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Laguna M.1 | |
|---|---|---|
| Provider | xAI | Poolside |
| Noometry Index | 46.2 | 32.5 |
| Released | 2026-03-09 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 33K |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 3 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Laguna M.1: 36.6 (#204)
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
| LMArena Coding | 1457 | — |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Laguna M.1: 23.1 (#184)
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| LMArena Hard Prompts | 1448 | — |
| Surface Evolver Bench | — | 15.6% |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.4 (#104), Laguna M.1: 21.1 (#283)
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
| LMArena Math | 1442 | — |
Knowledge Not comparable
Grok 4.20 Multi-Agent: 40.4 (#119), Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena Expert | 1445 | — |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 40.5 (#48), Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.4 (#43), Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| 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
Grok 4.20 Multi-Agent: 74.8 (#84), Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena Instruction Following | 1420 | — |
Long Context Not comparable
Grok 4.20 Multi-Agent: 43.7 (#88), Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1431 | — |
Writing & Preference Not comparable
Grok 4.20 Multi-Agent: 64.0 (#59), Laguna M.1: —
| Benchmark | Grok 4.20 Multi-Agent | Laguna M.1 |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Laguna M.1?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 32.5 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Laguna M.1 better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 262K.
How many benchmarks do Grok 4.20 Multi-Agent and Laguna M.1 share?
0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Laguna M.1 has 3.