Which model is better: Claude 3.5 Haiku or Claude 4.5 Sonnet?
Claude 3.5 Haiku cuts input token costs by 73.3% compared to Claude 4.5 Sonnet ($0.80 vs. $3.00 per 1M input tokens; $4.00 vs. $15.00/1M output). For autonomous software engineering, Claude 4.5 Sonnet leads on SWE-bench Verified (75.8% vs. 40.6%), while Claude 4.5 Sonnet edges ahead on GPQA Diamond scientific reasoning (84.2%). In real-time API production, Claude 3.5 Haiku achieves a faster 190ms TTFT latency (130.0 tokens/sec).
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
Claude 4.5 Sonnet
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$3.00
Claude 3.5 Haiku is 3.8x cheaper
Output Cost / 1M Tokens
$4.00
$15.00
Claude 3.5 Haiku (73.3% lower)
Prompt Cache Read / 1M
$0.080
$0.300
Claude 3.5 Haiku is 3.8x cheaper
Prompt Cache Write / 1M
$1.00
$3.75
Claude 3.5 Haiku is 3.8x cheaper
Context Window (Max Output)
205k (8k out)
205k (64k out)
Equal Context Window
Avg TTFT Response Latency
190ms
380ms
Claude 3.5 Haiku (190ms faster)
Generation Speed (Throughput)
130 tok/s
84 tok/s
Claude 3.5 Haiku (+46 tok/s faster)
SWE-bench Verified (Coding)
40.6%
75.8%
Claude 4.5 Sonnet (+35.2% lead)
GPQA Diamond (PhD STEM)
41.6%
84.2%
Claude 4.5 Sonnet (+42.6% lead)
MMLU-Pro (Multi-Discipline)
71%
90.4%
Claude 4.5 Sonnet (+19.4% lead)
MATH-500 (Quantitative Logic)
69.4%
97.5%
Claude 4.5 Sonnet (+28.1% lead)
Inference Value Score (IVR)
52.4 / 100
56.5 / 100
Claude 4.5 Sonnet (+4.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Deploy Claude 3.5 Haiku when your architecture requires 40.6% SWE-bench coding accuracy, 41.6% GPQA Diamond reasoning, and 204k context at $0.80/1M input ($0.080/1M cached read).
Which is cheaper: Claude 3.5 Haiku or Claude 4.5 Sonnet?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 4.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or Claude 4.5 Sonnet?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 380ms TTFT (84 tok/s) for Claude 4.5 Sonnet.
How do Claude 3.5 Haiku and Claude 4.5 Sonnet compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 75.8% for Claude 4.5 Sonnet. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 84.2% for Claude 4.5 Sonnet (and 69.4% vs 97.5% on MATH-500).
When should you choose Claude 3.5 Haiku?
Deploy Claude 3.5 Haiku when your architecture requires 40.6% SWE-bench coding accuracy, 41.6% GPQA Diamond reasoning, and 204k context at $0.80/1M input ($0.080/1M cached read).
When should you choose Claude 4.5 Sonnet?
Select Claude 4.5 Sonnet for workloads prioritizing 380ms TTFT latency, 84.0 tokens/sec throughput, and $3.00/1M input pricing ($0.300/1M cached read).
