Model comparison
Grok 4.20 Multi-Agent vs Yi-1.5-34B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 30.2 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.1 to 37.6.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Yi-1.5-34B | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 45.5 | 30.2 |
| Released | 2026-03-09 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 21 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1458 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Yi-1.5-34B: —
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1160 |
| NYT Connections (extended) | 89.6% | — |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1441 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1445 | 1144 |
| GPQA Diamond | — | 32% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Yi-1.5-34B: —
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Yi-1.5-34B: 32.5 (#251)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1440 | 1121 |
| LMArena Chinese | 1475 | 1213 |
| LMArena French | 1467 | 1155 |
| LMArena German | 1456 | 1111 |
| LMArena Japanese | 1405 | 1021 |
| LMArena Korean | 1416 | 1005 |
| LMArena Russian | 1457 | 1091 |
| LMArena Spanish | 1447 | 1120 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Yi-1.5-34B: 59.4 (#252)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1139 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1430 | 1144 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Yi-1.5-34B: 37.6 (#252)
| Benchmark | Grok 4.20 Multi-Agent | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1450 | 1173 |
| LMArena Creative Writing | 1435 | 1135 |
| LMArena Multi-Turn | 1451 | 1153 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Yi-1.5-34B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 30.2 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Yi-1.5-34B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 31.9 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and Yi-1.5-34B share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Yi-1.5-34B has 21.