DeepSeek R1 is 78.0% cheaper for input tokens ($0.55 vs. $2.50 per 1M tokens) and $2.19 vs. $10.00 for output tokens (4.5x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (1110ms faster than DeepSeek R1) with 105 vs. 58 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 85.4% vs. 71.5% 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 R1
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$0.55
$2.50
DeepSeek R1 is 4.5x cheaper
Output Cost / 1M Tokens
$2.19
$10.00
DeepSeek R1 (78.1% lower)
Prompt Cache Read / 1M
$0.140
$0.625
DeepSeek R1 is 4.5x cheaper
Prompt Cache Write / 1M
$0.55
$2.50
DeepSeek R1 is 4.5x cheaper
Context Window (Max Output)
131k (33k out)
410k (128k out)
GPT-5 (3.1x larger context)
Avg TTFT Response Latency
1450ms
340ms
GPT-5 (1110ms faster)
Generation Speed (Throughput)
58 tok/s
105 tok/s
GPT-5 (+47 tok/s faster)
SWE-bench Verified (Coding)
49.2%
74.9%
GPT-5 (+25.7% lead)
GPQA Diamond (PhD STEM)
71.5%
85.4%
GPT-5 (+13.9% lead)
MMLU-Pro (Multi-Discipline)
84%
90.8%
GPT-5 (+6.8% lead)
MATH-500 (Quantitative Logic)
97.3%
98%
GPT-5 (+0.7% lead)
Inference Value Score (IVR)
64.8 / 100
59.2 / 100
DeepSeek R1 (+5.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek R1 is cheaper at $0.55/1M input tokens ($2.19/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-5.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek R1 or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.
How do DeepSeek R1 and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 85.4% for GPT-5 (and 97.3% vs 98% on MATH-500).
When should you choose DeepSeek R1?
Choose DeepSeek R1 (DeepSeek) for open-weight chain-of-thought reasoning, synthetic data distillation, and complex mathematical verification — offering a 131k context window, 1450ms TTFT, and $0.55/1M input pricing ($0.140/1M cached reads).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
