Model comparison
Gemma 3n E4b IT vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and Grok 4.20 Multi-Agent in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 19.9.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | xAI | |
| Noometry Index | 37.3 | 46.2 |
| Released | — | 2026-03-09 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 18 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 37.0 (#198), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1268 | 1457 |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Grok 4.20 Multi-Agent: —
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 19.9 (#247), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1448 |
| Kagi LLM Benchmark | 31.5% | — |
| NYT Connections (extended) | — | 89.6% |
Math Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 35.1 (#188), Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1251 | 1442 |
Knowledge Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 34.2 (#198), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1246 | 1445 |
Multimodal Not comparable
Gemma 3n E4b IT: —, Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 43.4 (#183), Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1285 | 1440 |
| LMArena Chinese | 1309 | 1475 |
| LMArena French | 1330 | 1466 |
| LMArena German | 1311 | 1456 |
| LMArena Japanese | 1272 | 1405 |
| LMArena Korean | 1259 | 1416 |
| LMArena Russian | 1288 | 1457 |
| LMArena Spanish | 1305 | 1447 |
Instruction Following Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 66.1 (#210), Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1255 | 1420 |
Long Context Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 38.7 (#191), Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1276 | 1431 |
Writing & Preference Grok 4.20 Multi-Agent leads
Gemma 3n E4b IT: 50.1 (#186), Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | Gemma 3n E4b IT | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1306 | 1450 |
| LMArena Creative Writing | 1287 | 1436 |
| LMArena Multi-Turn | 1276 | 1452 |
Frequently asked questions
Is Gemma 3n E4b IT better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Grok 4.20 Multi-Agent share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Grok 4.20 Multi-Agent has 20.