Which model is better: Claude 3.5 Haiku or OpenAI o4-mini?
Claude 3.5 Haiku is 27.3% cheaper for input tokens ($0.80 vs. $1.10 per 1M tokens) and $4.00 vs. $4.40 for output tokens (1.4x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (490ms faster than OpenAI o4-mini) with 130 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 81.4% 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
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$1.10
Claude 3.5 Haiku is 1.4x cheaper
Output Cost / 1M Tokens
$4.00
$4.40
Claude 3.5 Haiku (9.1% lower)
Prompt Cache Read / 1M
$0.080
$0.275
Claude 3.5 Haiku is 3.4x cheaper
Prompt Cache Write / 1M
$1.00
$1.10
Claude 3.5 Haiku is 1.1x cheaper
Context Window (Max Output)
205k (8k out)
205k (100k out)
Equal Context Window
Avg TTFT Response Latency
190ms
680ms
Claude 3.5 Haiku (490ms faster)
Generation Speed (Throughput)
130 tok/s
125 tok/s
Claude 3.5 Haiku (+5 tok/s faster)
SWE-bench Verified (Coding)
40.6%
68.1%
OpenAI o4-mini (+27.5% lead)
GPQA Diamond (PhD STEM)
41.6%
81.4%
OpenAI o4-mini (+39.8% lead)
MMLU-Pro (Multi-Discipline)
71%
85.6%
OpenAI o4-mini (+14.6% lead)
MATH-500 (Quantitative Logic)
69.4%
97.8%
OpenAI o4-mini (+28.4% lead)
Inference Value Score (IVR)
52.4 / 100
63.7 / 100
OpenAI o4-mini (+11.3 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 OpenAI o4-mini?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o4-mini.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or OpenAI o4-mini?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do Claude 3.5 Haiku and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 81.4% for OpenAI o4-mini (and 69.4% vs 97.8% 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 OpenAI o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
