Model comparison
Grok 4.20 Multi-Agent vs Qwen3.5 122B-A10B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 9 categories and Qwen3.5 122B-A10B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 27.2.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for Grok 4.20 Multi-Agent and 51.7% for Qwen3.5 122B-A10B.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 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 262K.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 42.1 |
| Released | 2026-03-09 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 66K |
| Input $ / M tokens | $1.25 | $0.40 |
| Output $ / M tokens | $2.50 | $3.20 |
| Results tracked | 20 | 27 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1457 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen3.5 122B-A10B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | 89.6% | 51.7% |
| LMArena Hard Prompts | 1448 | 1421 |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
Math Too close to call
Grok 4.20 Multi-Agent: 39.4 (#104), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1442 | 1432 |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.4 (#119), Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1445 | 1432 |
| Vectara Hallucination Rate | — | 11.2% |
Multimodal Too close to call
Grok 4.20 Multi-Agent: 40.5 (#48), Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | 1259 | 1245 |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.4 (#43), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1440 | 1400 |
| LMArena Chinese | 1475 | 1462 |
| LMArena French | 1466 | 1442 |
| LMArena German | 1456 | 1426 |
| LMArena Japanese | 1405 | 1367 |
| LMArena Korean | 1416 | 1352 |
| LMArena Russian | 1457 | 1400 |
| LMArena Spanish | 1447 | 1424 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 74.8 (#84), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1399 |
Long Context Too close to call
Grok 4.20 Multi-Agent: 43.7 (#88), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1431 | 1410 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1450 | 1417 |
| LMArena Creative Writing | 1436 | 1368 |
| LMArena Multi-Turn | 1452 | 1416 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen3.5 122B-A10B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.1 on the Noometry Index.
Which is cheaper, Grok 4.20 Multi-Agent or Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Qwen3.5 122B-A10B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 262K.
How many benchmarks do Grok 4.20 Multi-Agent and Qwen3.5 122B-A10B share?
19 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3.5 122B-A10B has 27.