Model comparison
Grok 4.20 Multi-Agent vs Olmo 3 32b Think
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 38.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 14 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Olmo 3 32b Think 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 24.9.
- Olmo 3 32b Think has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 Multi-Agent | Olmo 3 32b Think | |
|---|---|---|
| Provider | xAI | Allen Institute for AI (Ai2) |
| Noometry Index | 45.5 | 38.1 |
| Released | 2026-03-09 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 20 | 14 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#91), Olmo 3 32b Think: 38.0 (#169)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1458 | 1318 |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, Olmo 3 32b Think: —
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 42.4 (#44), Olmo 3 32b Think: 24.9 (#138)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1302 |
| NYT Connections (extended) | 89.6% | — |
Math Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 36.6 (#106), Olmo 3 32b Think: 33.8 (#165)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1441 | 1315 |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 39.7 (#116), Olmo 3 32b Think: 34.4 (#189)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1445 | 1272 |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 39.8 (#44), Olmo 3 32b Think: —
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 54.6 (#40), Olmo 3 32b Think: 41.4 (#205)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1440 | 1255 |
| LMArena Chinese | 1475 | 1300 |
| LMArena French | 1467 | 1291 |
| LMArena German | 1456 | 1290 |
| LMArena Russian | 1457 | 1255 |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1416 | — |
| LMArena Spanish | 1447 | — |
Instruction Following Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 75.0 (#80), Olmo 3 32b Think: 67.4 (#193)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1420 | 1275 |
Long Context Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.7 (#84), Olmo 3 32b Think: 39.4 (#177)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1430 | 1296 |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.1 (#57), Olmo 3 32b Think: 49.2 (#188)
| Benchmark | Grok 4.20 Multi-Agent | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1450 | 1300 |
| LMArena Creative Writing | 1435 | 1256 |
| LMArena Multi-Turn | 1451 | 1289 |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than Olmo 3 32b Think?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 38.1 on the Noometry Index.
Is Grok 4.20 Multi-Agent or Olmo 3 32b Think better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 38.0 in the Noometry coding category.
How many benchmarks do Grok 4.20 Multi-Agent and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Olmo 3 32b Think has 14.