Grok 4.20
Grok 4.20 is a revolutionary ~6-trillion parameter MoE model that runs four specialized agents simultaneously on a shared backbone. It utilizes persona adapters to coordinate multi-agent workflows within a 2M token context.
Leaderboards
QUALITY
Average Score combining domain-specific Autobench scores; Higher is better
- 2.92
- 3.17
- 3.06
- 3.02
- 2.99
- 2.99
- 2.92
- 2.92
- 2.92
- 2.91
- 2.90
- 2.84
- 2.83
- 2.78
- 2.76
- 2.72
- 2.70
- 2.69
- 2.66
- 2.65
- 2.55
- 2.27
PRICE
USD cent per average answer; Lower is better
- 1.54
- 0.01
- 0.02
- 0.02
- 0.03
- 0.05
- 0.05
- 0.06
- 0.09
- 0.11
- 0.12
- 0.13
- 0.14
- 0.20
- 0.32
- 0.43
- 0.50
- 0.86
- 1.56
- 2.03
- 2.56
- 5.82
LATENCY
Average Latency in Seconds; Lower is better
- 37.00s
- 9.00s
- 11.00s
- 13.00s
- 13.00s
- 14.00s
- 14.00s
- 18.00s
- 26.00s
- 26.00s
- 28.00s
- 36.00s
- 38.00s
- 41.00s
- 43.00s
- 44.00s
- 44.00s
- 46.00s
- 48.00s
- 52.00s
- 54.00s
- 55.00s
- 57.00s
- 66.00s
- 85.00s
- 87.00s
- 93.00s
- 103.00s
- 129.00s
Performance vs. Industry Average
Intelligence
Grok 4.20 is of higher intelligence compared to average (2.8), with an intelligence score of 2.9.
Price
Grok 4.20 is more expensive compared to average ($0.67 per 1M Tokens) with a price of $1.54 per 1M Tokens.
Latency
Grok 4.20 has a lower average latency compared to average (45.95s), with an average latency of 36.77s.
P99 Latency
Grok 4.20 has a lower P99 latency compared to average (131.50s), taking 97.82s to receive the first token at P99 (TTFT).
Context Window
Grok 4.20 has a larger context window than average (401k tokens), with a context window of 2000k tokens.