Model comparison
Grok 4.20 Multi-Agent vs Qwen3-4B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 19.2.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen3-4B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 31.9 |
| Released | 2026-03-09 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 6 |
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Category by category
Coding Not comparable
Grok 4.20 Multi-Agent: 43.0 (#92), Qwen3-4B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1457 | — |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen3-4B: 27.6 (#100)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Qwen3-4B: 19.2 (#268)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1448 | — |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.4 (#104), Qwen3-4B: 29.7 (#240)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1442 | — |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.4 (#119), Qwen3-4B: 33.0 (#208)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1445 | — |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 40.5 (#48), Qwen3-4B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.4 (#43), Qwen3-4B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1475 | — |
| LMArena French | 1466 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Russian | 1457 | — |
| LMArena Spanish | 1447 | — |
Instruction Following Not comparable
Grok 4.20 Multi-Agent: 74.8 (#84), Qwen3-4B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |
Long Context Not comparable
Grok 4.20 Multi-Agent: 43.7 (#88), Qwen3-4B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1431 | — |
Writing & Preference Not comparable
Grok 4.20 Multi-Agent: 64.0 (#59), Qwen3-4B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-4B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen3-4B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.9 on the Noometry Index.
How many benchmarks do Grok 4.20 Multi-Agent and Qwen3-4B share?
0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3-4B has 6.