Model comparison
Grok 4.20 Multi-Agent vs Qwen3-30B-A3B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 7.3× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
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 7 categories and Qwen3-30B-A3B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 21.6.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen3-30B-A3B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 38.5 |
| Released | 2026-03-09 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 1M | 41K |
| Max output | 30K | 16K |
| Input $ / M tokens | $1.25 | $0.12 |
| Output $ / M tokens | $2.50 | $0.50 |
| Results tracked | 20 | 32 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1458 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Too close to call
Grok 4.20 Multi-Agent: 36.6 (#106), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1441 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
Knowledge Qwen3-30B-A3B leads
Grok 4.20 Multi-Agent: 39.7 (#116), Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1445 | 1395 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Qwen3-30B-A3B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1440 | 1372 |
| LMArena Chinese | 1475 | 1434 |
| LMArena French | 1467 | 1419 |
| LMArena German | 1456 | 1379 |
| LMArena Japanese | 1405 | 1338 |
| LMArena Korean | 1416 | 1333 |
| LMArena Russian | 1457 | 1369 |
| LMArena Spanish | 1447 | 1403 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1364 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1430 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1450 | 1384 |
| LMArena Creative Writing | 1435 | 1318 |
| LMArena Multi-Turn | 1451 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen3-30B-A3B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 7.3× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Which is cheaper, Grok 4.20 Multi-Agent or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Qwen3-30B-A3B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 37.0 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 41K.
How many benchmarks do Grok 4.20 Multi-Agent and Qwen3-30B-A3B share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3-30B-A3B has 32.