Which model is better: Claude 3.5 Sonnet or DeepSeek V4 Flash Vision (Exp)?
DeepSeek V4 Flash Vision (Exp) is 92.7% cheaper for input tokens ($0.22 vs. $3.00 per 1M tokens) and $0.65 vs. $15.00 for output tokens (13.6x cost advantage). In terms of operational performance, Both models demonstrate comparable response latency around 310ms TTFT (80 vs. 165 tok/s). DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 91.3% vs. 59.4% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
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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: Claude 3.5 Sonnet or DeepSeek V4 Flash Vision (Exp)?
DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Sonnet or DeepSeek V4 Flash Vision (Exp)?
Both Claude 3.5 Sonnet and DeepSeek V4 Flash Vision (Exp) deliver comparable response times around 310ms TTFT.
How do Claude 3.5 Sonnet and DeepSeek V4 Flash Vision (Exp) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 77.4% for DeepSeek V4 Flash Vision (Exp). On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 91.3% for DeepSeek V4 Flash Vision (Exp) (and 78.3% vs 96.4% on MATH-500).
When should you choose Claude 3.5 Sonnet?
Choose Claude 3.5 Sonnet (Anthropic) for legacy enterprise workflows, code review pipelines, and human-like content generation — offering a 204k context window, 310ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
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).
