Which model is better: GPT-4o Mini or Llama 4 Maverick?
GPT-4o Mini is 25.0% cheaper for input tokens ($0.15 vs. $0.20 per 1M tokens) and $0.60 vs. $0.60 for output tokens (1.3x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (85ms faster than GPT-4o Mini) with 175 vs. 140 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 73.8% vs. 40.2% 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 Mini
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$0.20
GPT-4o Mini is 1.3x cheaper
Output Cost / 1M Tokens
$0.60
$0.60
Identical Output Pricing
Prompt Cache Read / 1M
$0.075
$0.050
Llama 4 Maverick is 1.5x cheaper
Prompt Cache Write / 1M
$0.15
$0.20
GPT-4o Mini is 1.3x cheaper
Context Window (Max Output)
131k (16k out)
1,049k (33k out)
Llama 4 Maverick (8.0x larger context)
Avg TTFT Response Latency
220ms
135ms
Llama 4 Maverick (85ms faster)
Generation Speed (Throughput)
140 tok/s
175 tok/s
Llama 4 Maverick (+35 tok/s faster)
SWE-bench Verified (Coding)
41%
62.4%
Llama 4 Maverick (+21.4% lead)
GPQA Diamond (PhD STEM)
40.2%
73.8%
Llama 4 Maverick (+33.6% lead)
MMLU-Pro (Multi-Discipline)
68%
84.5%
Llama 4 Maverick (+16.5% lead)
MATH-500 (Quantitative Logic)
70.2%
91%
Llama 4 Maverick (+20.8% lead)
Inference Value Score (IVR)
67.2 / 100
77 / 100
Llama 4 Maverick (+9.8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: GPT-4o Mini or Llama 4 Maverick?
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $0.20/1M input ($0.60/1M output) for Llama 4 Maverick.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.
How do GPT-4o Mini and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 73.8% for Llama 4 Maverick (and 70.2% vs 91% on MATH-500).
When should you choose GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M 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).
