Which model is better: Claude 3.5 Haiku or Claude 4 Opus?
Claude 3.5 Haiku is 94.7% cheaper for input tokens ($0.80 vs. $15.00 per 1M tokens) and $4.00 vs. $75.00 for output tokens (18.8x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (730ms faster than Claude 4 Opus) with 130 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 87.1% 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
Claude 4 Opus
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$15.00
Claude 3.5 Haiku is 18.8x cheaper
Output Cost / 1M Tokens
$4.00
$75.00
Claude 3.5 Haiku (94.7% lower)
Prompt Cache Read / 1M
$0.080
$1.500
Claude 3.5 Haiku is 18.8x cheaper
Prompt Cache Write / 1M
$1.00
$18.75
Claude 3.5 Haiku is 18.8x cheaper
Context Window (Max Output)
205k (8k out)
205k (64k out)
Equal Context Window
Avg TTFT Response Latency
190ms
920ms
Claude 3.5 Haiku (730ms faster)
Generation Speed (Throughput)
130 tok/s
46 tok/s
Claude 3.5 Haiku (+84 tok/s faster)
SWE-bench Verified (Coding)
40.6%
77.2%
Claude 4 Opus (+36.6% lead)
GPQA Diamond (PhD STEM)
41.6%
87.1%
Claude 4 Opus (+45.5% lead)
MMLU-Pro (Multi-Discipline)
71%
91.8%
Claude 4 Opus (+20.8% lead)
MATH-500 (Quantitative Logic)
69.4%
98.1%
Claude 4 Opus (+28.7% lead)
Inference Value Score (IVR)
52.4 / 100
43.6 / 100
Claude 3.5 Haiku (+8.8 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 Haiku or Claude 4 Opus?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or Claude 4 Opus?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 3.5 Haiku and Claude 4 Opus compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 77.2% for Claude 4 Opus. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 87.1% for Claude 4 Opus (and 69.4% vs 98.1% 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 Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).
