Model comparison
Grok 4.20 Multi-Agent vs Qwen3.5-9B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 33.8 on the Noometry Index. Qwen3.5-9B costs 14× 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 . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 23.1.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 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.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen3.5-9B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 33.8 |
| Released | 2026-03-09 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 66K |
| Input $ / M tokens | $1.25 | $0.10 |
| Output $ / M tokens | $2.50 | $0.15 |
| Results tracked | 20 | 10 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1457 | — |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| NYT Connections (extended) | 89.6% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1448 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.4 (#104), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1442 | — |
Knowledge Qwen3.5-9B leads
Grok 4.20 Multi-Agent: 40.4 (#119), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1445 | — |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 40.5 (#48), Qwen3.5-9B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.4 (#43), Qwen3.5-9B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| 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), Qwen3.5-9B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1420 | — |
Long Context Not comparable
Grok 4.20 Multi-Agent: 43.7 (#88), Qwen3.5-9B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1431 | — |
Writing & Preference Not comparable
Grok 4.20 Multi-Agent: 64.0 (#59), Qwen3.5-9B: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen3.5-9B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 33.8 on the Noometry Index. Qwen3.5-9B costs 14× 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 Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Grok 4.20 Multi-Agent or Qwen3.5-9B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 35.9 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 Qwen3.5-9B share?
0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3.5-9B has 10.