Compare/o3-mini vs Claude 4.5 Haiku (Reasoning)

o3-minivsClaude 4.5 Haiku (Reasoning)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

o3-mini

Input
$1.1/M
Output
$4.4/M
Speed
138 tok/s
TTFT
8.20s
Anthropic

Claude 4.5 Haiku (Reasoning)

Input
$1/M
Output
$5/M
Speed
121 tok/s
TTFT
13.45s

Winner by Category

Cheaper
o3-mini
Faster (tok/s)
o3-mini
Lower Latency
o3-mini
Benchmarks (4-8)
Claude 4.5 Haiku (Reasoning)

Pricing Comparison

Metrico3-miniClaude 4.5 Haiku (Reasoning)
Input ($/M tokens)$1.1$1
Output ($/M tokens)$4.4$5
Cost for 1M input + 100K output tokens:
o3-mini$1.54
Claude 4.5 Haiku (Reasoning)$1.50

Speed Comparison

Output Speed (tokens/s) — higher is better
o3-mini
138 tok/s
Claude 4.5 Haiku (Reasoning)
121 tok/s
Time to First Token (seconds) — lower is better
o3-mini
8.20s
Claude 4.5 Haiku (Reasoning)
13.45s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
25.937.1
Coding Index
17.932.6
Math Index
83.7
GPQA Diamond
74.8%67.2%
MMLU-Pro
79.1%76.0%
LiveCodeBench
71.7%61.5%
AIME 2025
83.7%
MATH-500
97.3%
Humanity's Last Exam
8.7%9.7%
SciCode
39.9%43.3%
IFBench
54.3%
TerminalBench
6.8%27.3%
o3-mini4 wins
8 winsClaude 4.5 Haiku (Reasoning)

Frequently Asked Questions

Which is cheaper, o3-mini or Claude 4.5 Haiku (Reasoning)?

o3-mini is cheaper overall. Its blended price (3:1 input/output ratio) is $1.93/M tokens vs $2.00/M for Claude 4.5 Haiku (Reasoning).

Which model performs better on benchmarks?

Claude 4.5 Haiku (Reasoning) wins 8 out of 12 benchmarks compared to 4 for o3-mini. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o3-mini generates tokens faster at 138 tok/s vs 121 tok/s. o3-mini also has lower time-to-first-token (8.20s vs 13.45s).

When should I use o3-mini vs Claude 4.5 Haiku (Reasoning)?

Choose based on your priorities: o3-mini for lower cost, Claude 4.5 Haiku (Reasoning) for stronger benchmark performance, and o3-mini for faster generation. For latency-sensitive apps, check the TTFT comparison above.