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-4o delivers lower response latency at 280ms TTFT (1170ms faster than DeepSeek R1) with 100 vs. 58 tok/s throughput. DeepSeek R1 leads coding evaluations at 49.2% SWE-bench Verified vs. 48.0% for GPT-4o and 71.5% vs. 53.6% 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-4o
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
$1.250
DeepSeek R1 is 8.9x cheaper
Prompt Cache Write / 1M
$0.55
$2.50
DeepSeek R1 is 4.5x cheaper
Context Window (Max Output)
131k (33k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
1450ms
280ms
GPT-4o (1170ms faster)
Generation Speed (Throughput)
58 tok/s
100 tok/s
GPT-4o (+42 tok/s faster)
SWE-bench Verified (Coding)
49.2%
48%
DeepSeek R1 (+1.2% lead)
GPQA Diamond (PhD STEM)
71.5%
53.6%
DeepSeek R1 (+17.9% lead)
MMLU-Pro (Multi-Discipline)
84%
75.9%
DeepSeek R1 (+8.1% lead)
MATH-500 (Quantitative Logic)
97.3%
76.6%
DeepSeek R1 (+20.7% lead)
Inference Value Score (IVR)
64.8 / 100
47.6 / 100
DeepSeek R1 (+17.2 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-4o.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek R1 or GPT-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.
How do DeepSeek R1 and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 53.6% for GPT-4o (and 97.3% vs 76.6% 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-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
