Model comparison
Grok 4.20 Multi-Agent vs phi-3-medium 14B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where Grok 4.20 Multi-Agent leads 39.7 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | phi-3-medium 14B | |
|---|---|---|
| Provider | xAI | Microsoft |
| Noometry Index | 45.5 | 29.1 |
| Released | 2026-03-09 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 13 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), phi-3-medium 14B: 36.3 (#198)
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1458 | — |
| BigCodeBench Complete | — | 48.7% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Not comparable
Grok 4.20 Multi-Agent: 42.4 (#44), phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| LMArena Hard Prompts | 1448 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), phi-3-medium 14B: 25.2 (#249)
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1441 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), phi-3-medium 14B: 9.1 (#301)
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1445 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.6 (#40), phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1475 | — |
| LMArena French | 1467 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Russian | 1457 | — |
| LMArena Spanish | 1447 | — |
Instruction Following Not comparable
Grok 4.20 Multi-Agent: 75.0 (#80), phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |
Long Context Not comparable
Grok 4.20 Multi-Agent: 43.7 (#84), phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1430 | — |
Writing & Preference Not comparable
Grok 4.20 Multi-Agent: 64.1 (#57), phi-3-medium 14B: —
| Benchmark | Grok 4.20 Multi-Agent | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1435 | — |
| LMArena Multi-Turn | 1451 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than phi-3-medium 14B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 29.1 on the Noometry Index.
Is Grok 4.20 Multi-Agent or phi-3-medium 14B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 36.3 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and phi-3-medium 14B share?
0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and phi-3-medium 14B has 13.