Which model is better: Llama 4 Maverick or OpenAI o3-mini?
Llama 4 Maverick is 81.8% cheaper for input tokens ($0.20 vs. $1.10 per 1M tokens) and $0.60 vs. $4.40 for output tokens (5.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (815ms faster than OpenAI o3-mini) with 175 vs. 98 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 73.8% vs. 79.7% 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
Llama 4 Maverick
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.20
$1.10
Llama 4 Maverick is 5.5x cheaper
Output Cost / 1M Tokens
$0.60
$4.40
Llama 4 Maverick (86.4% lower)
Prompt Cache Read / 1M
$0.050
$0.550
Llama 4 Maverick is 11.0x cheaper
Prompt Cache Write / 1M
$0.20
$1.10
Llama 4 Maverick is 5.5x cheaper
Context Window (Max Output)
1,049k (33k out)
205k (100k out)
Llama 4 Maverick (5.1x larger context)
Avg TTFT Response Latency
135ms
950ms
Llama 4 Maverick (815ms faster)
Generation Speed (Throughput)
175 tok/s
98 tok/s
Llama 4 Maverick (+77 tok/s faster)
SWE-bench Verified (Coding)
62.4%
49.3%
Llama 4 Maverick (+13.1% lead)
GPQA Diamond (PhD STEM)
73.8%
79.7%
OpenAI o3-mini (+5.9% lead)
MMLU-Pro (Multi-Discipline)
84.5%
83.2%
Llama 4 Maverick (+1.3% lead)
MATH-500 (Quantitative Logic)
91%
97.9%
OpenAI o3-mini (+6.9% lead)
Inference Value Score (IVR)
77 / 100
59.7 / 100
Llama 4 Maverick (+17.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: Llama 4 Maverick or OpenAI o3-mini?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o3-mini.
Which model has lower TTFT latency and higher tok/s throughput: Llama 4 Maverick or OpenAI o3-mini?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do Llama 4 Maverick and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Llama 4 Maverick scores 62.4% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, Llama 4 Maverick scores 73.8% versus 79.7% for OpenAI o3-mini (and 91% vs 97.9% on MATH-500).
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).
When should you choose OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
