Model comparison
Grok 4.20 Multi-Agent vs Qwen1.5-32B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 30.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Qwen1.5-32B 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 34.4.
- Qwen1.5-32B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen1.5-32B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 30.0 |
| Released | 2026-03-09 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 21 |
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), Qwen1.5-32B: 31.1 (#278)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1458 | 1155 |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen1.5-32B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Qwen1.5-32B: 20.9 (#210)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1131 |
| NYT Connections (extended) | 89.6% | — |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Qwen1.5-32B: 30.5 (#207)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1441 | 1155 |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Qwen1.5-32B: 13.5 (#291)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Expert | 1445 | 1126 |
| GPQA Diamond | — | 30.7% |
| MMLU | — | 74.4% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Qwen1.5-32B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Qwen1.5-32B: 31.6 (#254)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1440 | 1106 |
| LMArena Chinese | 1475 | 1176 |
| LMArena French | 1467 | 1100 |
| LMArena German | 1456 | 1058 |
| LMArena Japanese | 1405 | 1027 |
| LMArena Korean | 1416 | 1007 |
| LMArena Russian | 1457 | 1073 |
| LMArena Spanish | 1447 | 1089 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Qwen1.5-32B: 58.0 (#260)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1116 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Qwen1.5-32B: 34.7 (#241)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1430 | 1146 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Qwen1.5-32B: 34.4 (#266)
| Benchmark | Grok 4.20 Multi-Agent | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1450 | 1137 |
| LMArena Creative Writing | 1435 | 1083 |
| LMArena Multi-Turn | 1451 | 1140 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen1.5-32B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 30.0 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Qwen1.5-32B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 31.1 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and Qwen1.5-32B share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen1.5-32B has 21.