Model comparison
Grok 4.20 Multi-Agent vs Qwen3.5 397B-A17B
Grok 4.20 Multi-Agent and Qwen3.5 397B-A17B score almost the same on the Noometry Index (46.2 vs 46.0), so choose on price, context window or the category you care about most.
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 4 categories and Qwen3.5 397B-A17B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 40.4.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for Grok 4.20 Multi-Agent and 58.9% for Qwen3.5 397B-A17B.
- Qwen3.5 397B-A17B is cheaper at $0.60 / $3.60 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 397B-A17B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 46.0 |
| Released | 2026-03-09 | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 66K |
| Input $ / M tokens | $1.25 | $0.60 |
| Output $ / M tokens | $2.50 | $3.60 |
| Results tracked | 20 | 36 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Qwen3.5 397B-A17B: 42.0 (#114)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Coding | 1457 | 1465 |
| LMArena WebDev | — | 1400 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen3.5 397B-A17B: 33.3 (#53)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Qwen3.5 397B-A17B: 34.5 (#70)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| NYT Connections (extended) | 89.6% | 58.9% |
| LMArena Hard Prompts | 1448 | 1448 |
| Kagi LLM Benchmark | — | 73.7% |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| Epoch Capabilities Index | — | 146.65 |
Math Qwen3.5 397B-A17B leads
Grok 4.20 Multi-Agent: 39.4 (#104), Qwen3.5 397B-A17B: 46.1 (#73)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Math | 1442 | 1454 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
Knowledge Qwen3.5 397B-A17B leads
Grok 4.20 Multi-Agent: 40.4 (#119), Qwen3.5 397B-A17B: 53.3 (#58)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Expert | 1445 | 1462 |
| GPQA Diamond | — | 86.4% |
Multimodal Too close to call
Grok 4.20 Multi-Agent: 40.5 (#48), Qwen3.5 397B-A17B: 40.7 (#44)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | 1259 | 1263 |
Multilingual Too close to call
Grok 4.20 Multi-Agent: 54.4 (#43), Qwen3.5 397B-A17B: 53.7 (#59)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 1440 | 1430 |
| LMArena Chinese | 1475 | 1500 |
| LMArena French | 1466 | 1461 |
| LMArena German | 1456 | 1447 |
| LMArena Japanese | 1405 | 1426 |
| LMArena Korean | 1416 | 1384 |
| LMArena Russian | 1457 | 1429 |
| LMArena Spanish | 1447 | 1441 |
Instruction Following Too close to call
Grok 4.20 Multi-Agent: 74.8 (#84), Qwen3.5 397B-A17B: 75.0 (#77)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1424 |
Long Context Too close to call
Grok 4.20 Multi-Agent: 43.7 (#88), Qwen3.5 397B-A17B: 44.1 (#74)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | 1431 | 1442 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Qwen3.5 397B-A17B: 62.3 (#79)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 1450 | 1438 |
| LMArena Creative Writing | 1436 | 1401 |
| LMArena Multi-Turn | 1452 | 1446 |
| EQ-Bench Creative Writing | — | 1478 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen3.5 397B-A17B?
Grok 4.20 Multi-Agent and Qwen3.5 397B-A17B score almost the same on the Noometry Index (46.2 vs 46.0), so choose on price, context window or the category you care about most.
Which is cheaper, Grok 4.20 Multi-Agent or Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is cheaper. It lists at $0.60 per million input tokens and $3.60 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 397B-A17B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 42.0 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 397B-A17B share?
19 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3.5 397B-A17B has 36.