Which model is better: Grok 3 or Llama 4 Maverick?
Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (485ms faster than Grok 3) with 175 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 84.6% 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 3
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.20
Llama 4 Maverick is 15.0x cheaper
Output Cost / 1M Tokens
$15.00
$0.60
Llama 4 Maverick (96.0% lower)
Prompt Cache Read / 1M
$0.750
$0.050
Llama 4 Maverick is 15.0x cheaper
Prompt Cache Write / 1M
$3.00
$0.20
Llama 4 Maverick is 15.0x cheaper
Context Window (Max Output)
134k (16k out)
1,049k (33k out)
Llama 4 Maverick (7.8x larger context)
Avg TTFT Response Latency
620ms
135ms
Llama 4 Maverick (485ms faster)
Generation Speed (Throughput)
88 tok/s
175 tok/s
Llama 4 Maverick (+87 tok/s faster)
SWE-bench Verified (Coding)
65.8%
62.4%
Grok 3 (+3.4% lead)
GPQA Diamond (PhD STEM)
84.6%
73.8%
Grok 3 (+10.8% lead)
MMLU-Pro (Multi-Discipline)
80%
84.5%
Llama 4 Maverick (+4.5% lead)
MATH-500 (Quantitative Logic)
89.8%
91%
Llama 4 Maverick (+1.2% lead)
Inference Value Score (IVR)
52.7 / 100
77 / 100
Llama 4 Maverick (+24.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Grok 3 or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Grok 3 and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 73.8% for Llama 4 Maverick (and 89.8% vs 91% on MATH-500).
When should you choose Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M 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).
