Claude 3.5 Haiku is 68.0% cheaper for input tokens ($0.80 vs. $2.50 per 1M tokens) and $4.00 vs. $10.00 for output tokens (3.1x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (150ms faster than GPT-5) with 130 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 85.4% 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
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$2.50
Claude 3.5 Haiku is 3.1x cheaper
Output Cost / 1M Tokens
$4.00
$10.00
Claude 3.5 Haiku (60.0% lower)
Prompt Cache Read / 1M
$0.080
$0.625
Claude 3.5 Haiku is 7.8x cheaper
Prompt Cache Write / 1M
$1.00
$2.50
Claude 3.5 Haiku is 2.5x cheaper
Context Window (Max Output)
205k (8k out)
410k (128k out)
GPT-5 (2.0x larger context)
Avg TTFT Response Latency
190ms
340ms
Claude 3.5 Haiku (150ms faster)
Generation Speed (Throughput)
130 tok/s
105 tok/s
Claude 3.5 Haiku (+25 tok/s faster)
SWE-bench Verified (Coding)
40.6%
74.9%
GPT-5 (+34.3% lead)
GPQA Diamond (PhD STEM)
41.6%
85.4%
GPT-5 (+43.8% lead)
MMLU-Pro (Multi-Discipline)
71%
90.8%
GPT-5 (+19.8% lead)
MATH-500 (Quantitative Logic)
69.4%
98%
GPT-5 (+28.6% lead)
Inference Value Score (IVR)
52.4 / 100
59.2 / 100
GPT-5 (+6.8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-5.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or GPT-5?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.
How do Claude 3.5 Haiku and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 85.4% for GPT-5 (and 69.4% vs 98% 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 GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
