Which model is better: DeepSeek V4 Flash Vision (Exp) or o1?
DeepSeek V4 Flash Vision (Exp) is 98.5% cheaper for input tokens ($0.22 vs. $15.00 per 1M tokens) and $0.65 vs. $60.00 for output tokens (68.2x cost advantage). In terms of operational performance, DeepSeek V4 Flash Vision (Exp) delivers lower response latency at 310ms TTFT (2290ms faster than o1) with 165 vs. 48 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 48.9% for o1 and 91.3% vs. 78.0% 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.
Which is cheaper: DeepSeek V4 Flash Vision (Exp) or o1?
DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Flash Vision (Exp) or o1?
DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do DeepSeek V4 Flash Vision (Exp) and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 78% for o1 (and 96.4% vs 96.4% on MATH-500).
When should you choose DeepSeek V4 Flash Vision (Exp)?
Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).
When should you choose o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
