Claude 3.7 Sonnet vs DeepSeek V4 Flash Vision (Exp)
Live Unit Economics, Prompt Cache Pricing, TTFT Latency & Multi-Benchmark Analysis
Which model is better: Claude 3.7 Sonnet or DeepSeek V4 Flash Vision (Exp)?
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
| Metric / Dimension | Claude 3.7 Sonnet | DeepSeek V4 Flash Vision (Exp) | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $3.00 | $0.22 | DeepSeek V4 Flash Vision (Exp) is 13.6x cheaper |
| Output Cost / 1M Tokens | $15.00 | $0.65 | DeepSeek V4 Flash Vision (Exp) (95.7% lower) |
| Prompt Cache Read / 1M | $0.300 | $0.007 | DeepSeek V4 Flash Vision (Exp) is 43.5x cheaper |
| Prompt Cache Write / 1M | $3.75 | $0.22 | DeepSeek V4 Flash Vision (Exp) is 17.0x cheaper |
| Context Window (Max Output) | 205k (64k out) | 1,049k (128k out) | DeepSeek V4 Flash Vision (Exp) (5.1x larger context) |
| Avg TTFT Response Latency | 540ms | 310ms | DeepSeek V4 Flash Vision (Exp) (230ms faster) |
| Generation Speed (Throughput) | 72 tok/s | 165 tok/s | DeepSeek V4 Flash Vision (Exp) (+93 tok/s faster) |
| SWE-bench Verified (Coding) | 70.3% | 77.4% | DeepSeek V4 Flash Vision (Exp) (+7.1% lead) |
| GPQA Diamond (PhD STEM) | 78.5% | 91.3% | DeepSeek V4 Flash Vision (Exp) (+12.8% lead) |
| MMLU-Pro (Multi-Discipline) | 88% | 87.3% | Claude 3.7 Sonnet (+0.7% lead) |
| MATH-500 (Quantitative Logic) | 96.2% | 96.4% | DeepSeek V4 Flash Vision (Exp) (+0.2% lead) |
| Inference Value Score (IVR) | 54.3 / 100 | 81.6 / 100 | DeepSeek V4 Flash Vision (Exp) (+27.3 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Estimated Monthly Spend
$3.00/1M in · $15.00/1M out
Prompt Cache: $0.300/1M read · $3.75/1M write
$0.22/1M in · $0.65/1M out
Prompt Cache: $0.007/1M read · $0.22/1M write
When to Choose Claude 3.7 Sonnet
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When to 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).
Related Questions & Decision Factors
Which is cheaper: Claude 3.7 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 3.7 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or DeepSeek V4 Flash Vision (Exp)?
DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.
How do Claude 3.7 Sonnet and DeepSeek V4 Flash Vision (Exp) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 77.4% for DeepSeek V4 Flash Vision (Exp). On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 91.3% for DeepSeek V4 Flash Vision (Exp) (and 96.2% vs 96.4% on MATH-500).
When should you choose Claude 3.7 Sonnet?
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms 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).