Model comparison
Gemma 7B vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 30.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 7B 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 writing & preference, where Grok 4.20 Multi-Agent leads 64.0 to 27.1.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Gemma 7B | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | xAI | |
| Noometry Index | 30.0 | 46.2 |
| Released | 2024-02-21 | 2026-03-09 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 27 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Gemma 7B: 30.5 (#294), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1048 | 1457 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, Grok 4.20 Multi-Agent: —
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
Gemma 7B: 19.9 (#249), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1448 |
| NYT Connections (extended) | — | 89.6% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.99 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Grok 4.20 Multi-Agent leads
Gemma 7B: 31.2 (#228), Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1066 | 1442 |
| GSM8K | 46.4% | — |
Knowledge Grok 4.20 Multi-Agent leads
Gemma 7B: 27.3 (#252), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1001 | 1445 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multimodal Not comparable
Gemma 7B: —, Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual Grok 4.20 Multi-Agent leads
Gemma 7B: 25.1 (#287), Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 999 | 1440 |
| LMArena Chinese | 1035 | 1475 |
| LMArena French | 1025 | 1466 |
| LMArena Russian | 993 | 1457 |
| LMArena German | — | 1456 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1416 |
| LMArena Spanish | — | 1447 |
Instruction Following Grok 4.20 Multi-Agent leads
Gemma 7B: 51.5 (#295), Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1017 | 1420 |
Long Context Grok 4.20 Multi-Agent leads
Gemma 7B: 31.1 (#282), Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1022 | 1431 |
Writing & Preference Grok 4.20 Multi-Agent leads
Gemma 7B: 27.1 (#302), Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | Gemma 7B | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1056 | 1450 |
| LMArena Creative Writing | 1024 | 1436 |
| LMArena Multi-Turn | 963 | 1452 |
Frequently asked questions
Is Gemma 7B better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 30.0 on the Noometry Index.
Is Gemma 7B or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and Grok 4.20 Multi-Agent share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Grok 4.20 Multi-Agent has 20.