Which model is better: DeepSeek V4 Flash Vision (Exp) or GPT-5?
DeepSeek V4 Flash Vision (Exp) outperforms GPT-5 with an 11.4x cost advantage and superior capability. It cuts input pricing by 91.2% ($0.22 vs. $2.50) and output to $0.65 vs. $10.00 per 1M tokens. DeepSeek also achieves a faster 310ms TTFT and 165 tok/s, while leading SWE-bench Verified (77.4% vs. 74.9%) and GPQA Diamond (91.3% vs. 85.4%).
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 GPT-5?
DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M 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 V4 Flash Vision (Exp) or GPT-5?
DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.
How do DeepSeek V4 Flash Vision (Exp) and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 85.4% for GPT-5 (and 96.4% vs 98% 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 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).
