Model comparison
Grok 4.20 Multi-Agent vs Qwen1.5 4b Chat
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 28.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.1 to 23.9.
- Qwen1.5 4b Chat has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 28.3 |
| Released | 2026-03-09 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 13 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Qwen1.5 4b Chat: 28.6 (#305)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1458 | 999 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen1.5 4b Chat: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Qwen1.5 4b Chat: 17.7 (#277)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1448 | 976 |
| NYT Connections (extended) | 89.6% | — |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Qwen1.5 4b Chat: 27.9 (#233)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1441 | 1026 |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Qwen1.5 4b Chat: 26.2 (#252)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1445 | 980 |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Qwen1.5 4b Chat: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Qwen1.5 4b Chat: 24.2 (#285)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1440 | 979 |
| LMArena Chinese | 1475 | 1024 |
| LMArena German | 1456 | 902 |
| LMArena Russian | 1457 | 952 |
| LMArena French | 1467 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Spanish | 1447 | — |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Qwen1.5 4b Chat: 49.3 (#295)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1420 | 979 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Qwen1.5 4b Chat: 30.1 (#285)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1430 | 988 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Qwen1.5 4b Chat: 23.9 (#304)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1450 | 997 |
| LMArena Creative Writing | 1435 | 969 |
| LMArena Multi-Turn | 1451 | 977 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen1.5 4b Chat?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 28.3 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Qwen1.5 4b Chat better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 28.6 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen1.5 4b Chat has 13.