Which model is better: Claude 3.5 Haiku or GPT-4o?
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 (90ms faster than GPT-4o) with 130 vs. 100 tok/s throughput. GPT-4o leads coding evaluations at 48.0% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 53.6% 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-4o
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
$1.250
Claude 3.5 Haiku is 15.6x cheaper
Prompt Cache Write / 1M
$1.00
$2.50
Claude 3.5 Haiku is 2.5x cheaper
Context Window (Max Output)
205k (8k out)
131k (16k out)
Claude 3.5 Haiku (1.6x larger context)
Avg TTFT Response Latency
190ms
280ms
Claude 3.5 Haiku (90ms faster)
Generation Speed (Throughput)
130 tok/s
100 tok/s
Claude 3.5 Haiku (+30 tok/s faster)
SWE-bench Verified (Coding)
40.6%
48%
GPT-4o (+7.4% lead)
GPQA Diamond (PhD STEM)
41.6%
53.6%
GPT-4o (+12.0% lead)
MMLU-Pro (Multi-Discipline)
71%
75.9%
GPT-4o (+4.9% lead)
MATH-500 (Quantitative Logic)
69.4%
76.6%
GPT-4o (+7.2% lead)
Inference Value Score (IVR)
52.4 / 100
47.6 / 100
Claude 3.5 Haiku (+4.8 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-4o.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or GPT-4o?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 280ms TTFT (100 tok/s) for GPT-4o.
How do Claude 3.5 Haiku and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 53.6% for GPT-4o (and 69.4% vs 76.6% 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-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
