Model comparison
Grok 4.20 Multi-Agent vs Qwen3-Coder 480B-A35B Instruct
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 37.7 on the Noometry Index.
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 8 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 24.7.
- Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 37.7 |
| Released | 2026-03-09 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 66K |
| Input $ / M tokens | $1.25 | $1.50 |
| Output $ / M tokens | $2.50 | $7.50 |
| Results tracked | 20 | 25 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1458 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 89.6% | — |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1441 | 1364 |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1445 | 1337 |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1440 | 1345 |
| LMArena Chinese | 1475 | 1356 |
| LMArena French | 1467 | 1394 |
| LMArena German | 1456 | 1324 |
| LMArena Japanese | 1405 | 1309 |
| LMArena Korean | 1416 | 1307 |
| LMArena Russian | 1457 | 1367 |
| LMArena Spanish | 1447 | 1360 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1420 | 1356 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1430 | 1379 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Grok 4.20 Multi-Agent | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1450 | 1356 |
| LMArena Creative Writing | 1435 | 1333 |
| LMArena Multi-Turn | 1451 | 1365 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Qwen3-Coder 480B-A35B Instruct?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 37.7 on the Noometry Index.
Which is cheaper, Grok 4.20 Multi-Agent or Qwen3-Coder 480B-A35B Instruct?
Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Grok 4.20 Multi-Agent or Qwen3-Coder 480B-A35B Instruct better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 36.2 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-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.