Which model is better: DeepSeek V4 Pro or Llama 4 Maverick?
Llama 4 Maverick is 84.8% cheaper for input tokens ($0.20 vs. $1.32 per 1M tokens) and $0.60 vs. $3.96 for output tokens (6.6x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (385ms faster than DeepSeek V4 Pro) with 175 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 90.1% 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
DeepSeek V4 Pro
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$0.20
Llama 4 Maverick is 6.6x cheaper
Output Cost / 1M Tokens
$3.96
$0.60
Llama 4 Maverick (84.8% lower)
Prompt Cache Read / 1M
$0.145
$0.050
Llama 4 Maverick is 2.9x cheaper
Prompt Cache Write / 1M
$1.32
$0.20
Llama 4 Maverick is 6.6x cheaper
Context Window (Max Output)
1,024k (128k out)
1,049k (33k out)
Llama 4 Maverick (1.0x larger context)
Avg TTFT Response Latency
520ms
135ms
Llama 4 Maverick (385ms faster)
Generation Speed (Throughput)
78 tok/s
175 tok/s
Llama 4 Maverick (+97 tok/s faster)
SWE-bench Verified (Coding)
80.6%
62.4%
DeepSeek V4 Pro (+18.2% lead)
GPQA Diamond (PhD STEM)
90.1%
73.8%
DeepSeek V4 Pro (+16.3% lead)
MMLU-Pro (Multi-Discipline)
88.4%
84.5%
DeepSeek V4 Pro (+3.9% lead)
MATH-500 (Quantitative Logic)
97.3%
91%
DeepSeek V4 Pro (+6.3% lead)
Inference Value Score (IVR)
67 / 100
77 / 100
Llama 4 Maverick (+10 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: DeepSeek V4 Pro or Llama 4 Maverick?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $1.32/1M input ($3.96/1M output) for DeepSeek V4 Pro.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 73.8% for Llama 4 Maverick (and 97.3% vs 91% on MATH-500).
When should you choose DeepSeek V4 Pro?
Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M 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).
