Which model is better: Claude 3.5 Haiku or GPT-4o Mini?
GPT-4o Mini is 81.2% cheaper for input tokens ($0.15 vs. $0.80 per 1M tokens) and $0.60 vs. $4.00 for output tokens (5.3x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (30ms faster than GPT-4o Mini) with 130 vs. 140 tok/s throughput. GPT-4o Mini leads coding evaluations at 41.0% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 40.2% 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 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$0.15
GPT-4o Mini is 5.3x cheaper
Output Cost / 1M Tokens
$4.00
$0.60
GPT-4o Mini (85.0% lower)
Prompt Cache Read / 1M
$0.080
$0.075
GPT-4o Mini is 1.1x cheaper
Prompt Cache Write / 1M
$1.00
$0.15
GPT-4o Mini is 6.7x cheaper
Context Window (Max Output)
205k (8k out)
131k (16k out)
Claude 3.5 Haiku (1.6x larger context)
Avg TTFT Response Latency
190ms
220ms
Claude 3.5 Haiku (30ms faster)
Generation Speed (Throughput)
130 tok/s
140 tok/s
GPT-4o Mini (+10 tok/s faster)
SWE-bench Verified (Coding)
40.6%
41%
GPT-4o Mini (+0.4% lead)
GPQA Diamond (PhD STEM)
41.6%
40.2%
Claude 3.5 Haiku (+1.4% lead)
MMLU-Pro (Multi-Discipline)
71%
68%
Claude 3.5 Haiku (+3.0% lead)
MATH-500 (Quantitative Logic)
69.4%
70.2%
GPT-4o Mini (+0.8% lead)
Inference Value Score (IVR)
52.4 / 100
67.2 / 100
GPT-4o Mini (+14.8 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 GPT-4o Mini?
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $0.80/1M input ($4.00/1M output) for Claude 3.5 Haiku.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or GPT-4o Mini?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.
How do Claude 3.5 Haiku and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 40.2% for GPT-4o Mini (and 69.4% vs 70.2% 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 Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
