Which model is better: Claude 3.5 Sonnet or DeepSeek V3?
DeepSeek V3 is 95.3% cheaper for input tokens ($0.14 vs. $3.00 per 1M tokens) and $0.28 vs. $15.00 for output tokens (21.4x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (100ms faster than DeepSeek V3) with 80 vs. 78 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 59.4% vs. 59.1% 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
Claude 3.5 Sonnet
DeepSeek V3
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.14
DeepSeek V3 is 21.4x cheaper
Output Cost / 1M Tokens
$15.00
$0.28
DeepSeek V3 (98.1% lower)
Prompt Cache Read / 1M
$0.300
$0.014
DeepSeek V3 is 21.4x cheaper
Prompt Cache Write / 1M
$3.75
$0.14
DeepSeek V3 is 26.8x cheaper
Context Window (Max Output)
205k (8k out)
131k (8k out)
Claude 3.5 Sonnet (1.6x larger context)
Avg TTFT Response Latency
310ms
410ms
Claude 3.5 Sonnet (100ms faster)
Generation Speed (Throughput)
80 tok/s
78 tok/s
Claude 3.5 Sonnet (+2 tok/s faster)
SWE-bench Verified (Coding)
49%
42%
Claude 3.5 Sonnet (+7.0% lead)
GPQA Diamond (PhD STEM)
59.4%
59.1%
Claude 3.5 Sonnet (+0.3% lead)
MMLU-Pro (Multi-Discipline)
78%
75.9%
Claude 3.5 Sonnet (+2.1% lead)
MATH-500 (Quantitative Logic)
78.3%
90.2%
DeepSeek V3 (+11.9% lead)
Inference Value Score (IVR)
46.2 / 100
75 / 100
DeepSeek V3 (+28.8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 3.5 Sonnet or DeepSeek V3?
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M 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 V3?
Claude 3.5 Sonnet delivers faster first-token latency at 310ms TTFT (80 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.
How do Claude 3.5 Sonnet and DeepSeek V3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 42% for DeepSeek V3. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 59.1% for DeepSeek V3 (and 78.3% vs 90.2% 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 V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M cached reads).
