Which model is better: Grok 4 or Llama 4 Maverick?
Llama 4 Maverick is 92.0% cheaper for input tokens ($0.20 vs. $2.50 per 1M tokens) and $0.60 vs. $12.50 for output tokens (12.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (345ms faster than Grok 4) with 175 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 86.2% vs. 73.8% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Grok 4
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$0.20
Llama 4 Maverick is 12.5x cheaper
Output Cost / 1M Tokens
$12.50
$0.60
Llama 4 Maverick (95.2% lower)
Prompt Cache Read / 1M
$0.500
$0.050
Llama 4 Maverick is 10.0x cheaper
Prompt Cache Write / 1M
$2.50
$0.20
Llama 4 Maverick is 12.5x cheaper
Context Window (Max Output)
262k (66k out)
1,049k (33k out)
Llama 4 Maverick (4.0x larger context)
Avg TTFT Response Latency
480ms
135ms
Llama 4 Maverick (345ms faster)
Generation Speed (Throughput)
95 tok/s
175 tok/s
Llama 4 Maverick (+80 tok/s faster)
SWE-bench Verified (Coding)
73.2%
62.4%
Grok 4 (+10.8% lead)
GPQA Diamond (PhD STEM)
86.2%
73.8%
Grok 4 (+12.4% lead)
MMLU-Pro (Multi-Discipline)
89.9%
84.5%
Grok 4 (+5.4% lead)
MATH-500 (Quantitative Logic)
97.6%
91%
Grok 4 (+6.6% lead)
Inference Value Score (IVR)
57.6 / 100
77 / 100
Llama 4 Maverick (+19.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $2.50/1M input ($12.50/1M output) for Grok 4.
Which model has lower TTFT latency and higher tok/s throughput: Grok 4 or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 480ms TTFT (95 tok/s) for Grok 4.
How do Grok 4 and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 4 scores 73.2% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Grok 4 scores 86.2% versus 73.8% for Llama 4 Maverick (and 97.6% vs 91% on MATH-500).
When should you choose Grok 4?
Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).
When should you choose Llama 4 Maverick?
Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
