Which model is better: Claude 3.5 Haiku or OpenAI o3-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 (760ms faster than OpenAI o3-mini) with 130 vs. 98 tok/s throughput. OpenAI o3-mini leads coding evaluations at 49.3% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 79.7% 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 o3-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
$0.550
Claude 3.5 Haiku is 6.9x 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
950ms
Claude 3.5 Haiku (760ms faster)
Generation Speed (Throughput)
130 tok/s
98 tok/s
Claude 3.5 Haiku (+32 tok/s faster)
SWE-bench Verified (Coding)
40.6%
49.3%
OpenAI o3-mini (+8.7% lead)
GPQA Diamond (PhD STEM)
41.6%
79.7%
OpenAI o3-mini (+38.1% lead)
MMLU-Pro (Multi-Discipline)
71%
83.2%
OpenAI o3-mini (+12.2% lead)
MATH-500 (Quantitative Logic)
69.4%
97.9%
OpenAI o3-mini (+28.5% lead)
Inference Value Score (IVR)
52.4 / 100
59.7 / 100
OpenAI o3-mini (+7.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: Claude 3.5 Haiku or OpenAI o3-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 o3-mini.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or OpenAI o3-mini?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do Claude 3.5 Haiku and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 79.7% for OpenAI o3-mini (and 69.4% vs 97.9% 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 o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
