Which model is better: Claude 4 Opus or DeepSeek V4 Pro?
DeepSeek V4 Pro is 91.2% cheaper for input tokens ($1.32 vs. $15.00 per 1M tokens) and $3.96 vs. $75.00 for output tokens (11.4x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (400ms faster than Claude 4 Opus) with 78 vs. 46 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 77.2% for Claude 4 Opus and 90.1% vs. 87.1% 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
Claude 4 Opus
DeepSeek V4 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$1.32
DeepSeek V4 Pro is 11.4x cheaper
Output Cost / 1M Tokens
$75.00
$3.96
DeepSeek V4 Pro (94.7% lower)
Prompt Cache Read / 1M
$1.500
$0.145
DeepSeek V4 Pro is 10.3x cheaper
Prompt Cache Write / 1M
$18.75
$1.32
DeepSeek V4 Pro is 14.2x cheaper
Context Window (Max Output)
205k (64k out)
1,024k (128k out)
DeepSeek V4 Pro (5.0x larger context)
Avg TTFT Response Latency
920ms
520ms
DeepSeek V4 Pro (400ms faster)
Generation Speed (Throughput)
46 tok/s
78 tok/s
DeepSeek V4 Pro (+32 tok/s faster)
SWE-bench Verified (Coding)
77.2%
80.6%
DeepSeek V4 Pro (+3.4% lead)
GPQA Diamond (PhD STEM)
87.1%
90.1%
DeepSeek V4 Pro (+3.0% lead)
MMLU-Pro (Multi-Discipline)
91.8%
88.4%
Claude 4 Opus (+3.4% lead)
MATH-500 (Quantitative Logic)
98.1%
97.3%
Claude 4 Opus (+0.8% lead)
Inference Value Score (IVR)
43.6 / 100
67 / 100
DeepSeek V4 Pro (+23.4 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: Claude 4 Opus or DeepSeek V4 Pro?
DeepSeek V4 Pro is cheaper at $1.32/1M input tokens ($3.96/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or DeepSeek V4 Pro?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and DeepSeek V4 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 80.6% for DeepSeek V4 Pro. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 90.1% for DeepSeek V4 Pro (and 98.1% vs 97.3% on MATH-500).
When should you choose Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).
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).
