Model comparison
Grok 4.20 Multi-Agent vs Yi-34B
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 27.8 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-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.20 Multi-Agent leads 40.4 to 7.5.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Yi-34B | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 46.2 | 27.8 |
| Released | 2026-03-09 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 23 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.0 (#92), Yi-34B: 32.3 (#274)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Coding | 1457 | 1112 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Yi-34B: —
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), Yi-34B: 21.2 (#226)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1104 |
| NYT Connections (extended) | 89.6% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.4 (#104), Yi-34B: 21.6 (#282)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Math | 1442 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.4 (#119), Yi-34B: 7.5 (#309)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Expert | 1445 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 40.5 (#48), Yi-34B: —
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.4 (#43), Yi-34B: 29.7 (#264)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Non-English | 1440 | 1079 |
| LMArena Chinese | 1475 | 1176 |
| LMArena French | 1466 | 1081 |
| LMArena German | 1456 | 1042 |
| LMArena Japanese | 1405 | 993 |
| LMArena Korean | 1416 | 959 |
| LMArena Russian | 1457 | 1050 |
| LMArena Spanish | 1447 | 1070 |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 74.8 (#84), Yi-34B: 56.2 (#274)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1420 | 1091 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#88), Yi-34B: 33.2 (#264)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1431 | 1094 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), Yi-34B: 34.1 (#273)
| Benchmark | Grok 4.20 Multi-Agent | Yi-34B |
|---|---|---|
| LMArena Text | 1450 | 1129 |
| LMArena Creative Writing | 1436 | 1108 |
| LMArena Multi-Turn | 1452 | 1113 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Yi-34B?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 27.8 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Yi-34B better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 32.3 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and Yi-34B share?
17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Yi-34B has 23.