Which model is better: GPT-4o 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. $10.00 for output tokens (12.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (145ms faster than GPT-4o) with 175 vs. 100 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 48.0% for GPT-4o and 73.8% vs. 53.6% 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
GPT-4o
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
$10.00
$0.60
Llama 4 Maverick (94.0% lower)
Prompt Cache Read / 1M
$1.250
$0.050
Llama 4 Maverick is 25.0x cheaper
Prompt Cache Write / 1M
$2.50
$0.20
Llama 4 Maverick is 12.5x cheaper
Context Window (Max Output)
131k (16k out)
1,049k (33k out)
Llama 4 Maverick (8.0x larger context)
Avg TTFT Response Latency
280ms
135ms
Llama 4 Maverick (145ms faster)
Generation Speed (Throughput)
100 tok/s
175 tok/s
Llama 4 Maverick (+75 tok/s faster)
SWE-bench Verified (Coding)
48%
62.4%
Llama 4 Maverick (+14.4% lead)
GPQA Diamond (PhD STEM)
53.6%
73.8%
Llama 4 Maverick (+20.2% lead)
MMLU-Pro (Multi-Discipline)
75.9%
84.5%
Llama 4 Maverick (+8.6% lead)
MATH-500 (Quantitative Logic)
76.6%
91%
Llama 4 Maverick (+14.4% lead)
Inference Value Score (IVR)
47.6 / 100
77 / 100
Llama 4 Maverick (+29.4 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 ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 280ms TTFT (100 tok/s) for GPT-4o.
How do GPT-4o and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 73.8% for Llama 4 Maverick (and 76.6% vs 91% on MATH-500).
When should you choose GPT-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M 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).
