Which model is better: Claude 3.5 Haiku or DeepSeek V4 Pro?
Claude 3.5 Haiku is 39.4% cheaper for input tokens ($0.80 vs. $1.32 per 1M tokens) and $4.00 vs. $3.96 for output tokens (1.6x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (330ms faster than DeepSeek V4 Pro) with 130 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 90.1% vs. 41.6% 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 Haiku
DeepSeek V4 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$1.32
Claude 3.5 Haiku is 1.6x cheaper
Output Cost / 1M Tokens
$4.00
$3.96
DeepSeek V4 Pro (1.0% lower)
Prompt Cache Read / 1M
$0.080
$0.145
Claude 3.5 Haiku is 1.8x cheaper
Prompt Cache Write / 1M
$1.00
$1.32
Claude 3.5 Haiku is 1.3x cheaper
Context Window (Max Output)
205k (8k out)
1,024k (128k out)
DeepSeek V4 Pro (5.0x larger context)
Avg TTFT Response Latency
190ms
520ms
Claude 3.5 Haiku (330ms faster)
Generation Speed (Throughput)
130 tok/s
78 tok/s
Claude 3.5 Haiku (+52 tok/s faster)
SWE-bench Verified (Coding)
40.6%
80.6%
DeepSeek V4 Pro (+40.0% lead)
GPQA Diamond (PhD STEM)
41.6%
90.1%
DeepSeek V4 Pro (+48.5% lead)
MMLU-Pro (Multi-Discipline)
71%
88.4%
DeepSeek V4 Pro (+17.4% lead)
MATH-500 (Quantitative Logic)
69.4%
97.3%
DeepSeek V4 Pro (+27.9% lead)
Inference Value Score (IVR)
52.4 / 100
67 / 100
DeepSeek V4 Pro (+14.6 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 Haiku or DeepSeek V4 Pro?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $1.32/1M input ($3.96/1M output) for DeepSeek V4 Pro.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or DeepSeek V4 Pro?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do Claude 3.5 Haiku and DeepSeek V4 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 80.6% for DeepSeek V4 Pro. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 90.1% for DeepSeek V4 Pro (and 69.4% vs 97.3% on MATH-500).
When should you choose Claude 3.5 Haiku?
Choose Claude 3.5 Haiku (Anthropic) for rapid customer-facing chat, sub-agent routing, and real-time code autocomplete — offering a 204k context window, 190ms TTFT, and $0.80/1M input pricing ($0.080/1M cached reads).
When should you choose DeepSeek V4 Pro?
Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M cached reads).
