Which model is better: Llama 4 Maverick or OpenAI o3?
Llama 4 Maverick is 90.0% cheaper for input tokens ($0.20 vs. $2.00 per 1M tokens) and $0.60 vs. $8.00 for output tokens (10.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (1015ms faster than OpenAI o3) with 175 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 87.7% 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
Llama 4 Maverick
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.20
$2.00
Llama 4 Maverick is 10.0x cheaper
Output Cost / 1M Tokens
$0.60
$8.00
Llama 4 Maverick (92.5% lower)
Prompt Cache Read / 1M
$0.050
$0.500
Llama 4 Maverick is 10.0x cheaper
Prompt Cache Write / 1M
$0.20
$2.00
Llama 4 Maverick is 10.0x cheaper
Context Window (Max Output)
1,049k (33k out)
205k (100k out)
Llama 4 Maverick (5.1x larger context)
Avg TTFT Response Latency
135ms
1150ms
Llama 4 Maverick (1015ms faster)
Generation Speed (Throughput)
175 tok/s
82 tok/s
Llama 4 Maverick (+93 tok/s faster)
SWE-bench Verified (Coding)
62.4%
71.7%
OpenAI o3 (+9.3% lead)
GPQA Diamond (PhD STEM)
73.8%
87.7%
OpenAI o3 (+13.9% lead)
MMLU-Pro (Multi-Discipline)
84.5%
89.8%
OpenAI o3 (+5.3% lead)
MATH-500 (Quantitative Logic)
91%
98.6%
OpenAI o3 (+7.6% lead)
Inference Value Score (IVR)
77 / 100
60.6 / 100
Llama 4 Maverick (+16.4 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 $2.00/1M input ($8.00/1M output) for OpenAI o3.
Which model has lower TTFT latency and higher tok/s throughput: Llama 4 Maverick or OpenAI o3?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do Llama 4 Maverick and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Llama 4 Maverick scores 62.4% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, Llama 4 Maverick scores 73.8% versus 87.7% for OpenAI o3 (and 91% vs 98.6% 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?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
