Model comparison
Grok 4.20 Multi-Agent vs o3-pro
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in long context, where o3-pro leads 72.2 to 43.7.
- Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $20 / $80 for o3-pro.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 200K.
Side by side
| Grok 4.20 Multi-Agent | o3-pro | |
|---|---|---|
| Provider | xAI | OpenAI |
| Noometry Index | 46.2 | 42.9 |
| Released | 2026-03-09 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 200K |
| Max output | 30K | 100K |
| Input $ / M tokens | $1.25 | $20 |
| Output $ / M tokens | $2.50 | $80 |
| Results tracked | 20 | 12 |
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Category by category
Coding o3-pro leads
Grok 4.20 Multi-Agent: 43.0 (#92), o3-pro: 55.5 (#24)
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1457 | — |
Agentic & Tool Use Not comparable
Grok 4.20 Multi-Agent: —, o3-pro: —
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| LMArena Search | 1204 | — |
Reasoning Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 43.9 (#48), o3-pro: 23.8 (#171)
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1448 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Grok 4.20 Multi-Agent: 39.4 (#104), o3-pro: —
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| LMArena Math | 1442 | — |
Knowledge Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 40.4 (#119), o3-pro: 29.5 (#238)
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1445 | — |
Multimodal Not comparable
Grok 4.20 Multi-Agent: 40.5 (#48), o3-pro: —
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual Not comparable
Grok 4.20 Multi-Agent: 54.4 (#43), o3-pro: —
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| 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), o3-pro: —
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1420 | — |
Long Context o3-pro leads
Grok 4.20 Multi-Agent: 43.7 (#88), o3-pro: 72.2 (#1)
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1431 | — |
Writing & Preference Grok 4.20 Multi-Agent leads
Grok 4.20 Multi-Agent: 64.0 (#59), o3-pro: 57.1 (#133)
| Benchmark | Grok 4.20 Multi-Agent | o3-pro |
|---|---|---|
| LMArena Text | 1450 | — |
| LMArena Creative Writing | 1436 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Grok 4.20 Multi-Agent better than o3-pro?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.9 on the Noometry Index.
Which is cheaper, Grok 4.20 Multi-Agent or o3-pro?
Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; o3-pro lists at $20 and $80.
Is Grok 4.20 Multi-Agent or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 43.0 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 200K.
How many benchmarks do Grok 4.20 Multi-Agent and o3-pro share?
0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and o3-pro has 12.