Claude Haiku 4.5 vs o4 Mini

For most product and developer use cases that need reliable multi-step planning and safer refusal behavior, Claude Haiku 4.5 is the better pick. o4 Mini wins when you need strict structured output (5 vs 4) and stronger external math performance at a slightly lower token cost.

anthropic

Claude Haiku 4.5

Overall
4.33/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
5/5
Multilingual
5/5
Tool Calling
5/5
Classification
4/5
Agentic Planning
5/5
Structured Output
4/5
Safety Calibration
2/5
Strategic Analysis
5/5
Persona Consistency
5/5
Constrained Rewriting
3/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$1.00/MTok

Output

$5.00/MTok

Context Window200K

modelpicker.net

openai

o4 Mini

Overall
4.25/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
5/5
Multilingual
5/5
Tool Calling
5/5
Classification
4/5
Agentic Planning
4/5
Structured Output
5/5
Safety Calibration
1/5
Strategic Analysis
5/5
Persona Consistency
5/5
Constrained Rewriting
3/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
97.8%
AIME 2025
81.7%

Pricing

Input

$1.10/MTok

Output

$4.40/MTok

Context Window200K

modelpicker.net

Benchmark Analysis

Across our 12-test suite the matchup is largely tied: 9 ties, Claude Haiku 4.5 wins 2 benchmarks (agentic_planning 5 vs 4; safety_calibration 2 vs 1), and o4 Mini wins 1 (structured_output 5 vs 4). Details: - Agentic planning: Haiku 4.5 scores 5 (tied for 1st with 14 others); o4 Mini scores 4 (rank 16/54). This means Haiku is measurably stronger at goal decomposition and failure recovery in our tests. - Safety calibration: Haiku 4.5 scores 2 vs o4 Mini 1; Haiku ranks 12/55 vs o4 at 32/55 — relevant for assistants that must refuse harmful requests reliably. - Structured output: o4 Mini scores 5 (tied for 1st of 54), Claude scores 4 (rank 26/54); o4 Mini is the clear winner for JSON/schema compliance and format adherence. - Ties (both models same score): strategic_analysis 5, constrained_rewriting 3, creative_problem_solving 4, tool_calling 5, faithfulness 5, classification 4, long_context 5, persona_consistency 5, multilingual 5 — in practice these ties mean similar behavior for most editing, long-context retrieval, tool selection, multilingual output, and classification tasks. - External benchmarks: o4 Mini scores 97.8% on MATH Level 5 and 81.7% on AIME 2025 (according to Epoch AI), supporting its strength on competition-style math; Claude Haiku 4.5 has no external percentages in the payload. Overall, Haiku edges the pair on agentic and safety dimensions; o4 Mini edges on structured formats and external math tests.

BenchmarkClaude Haiku 4.5o4 Mini
Faithfulness5/55/5
Long Context5/55/5
Multilingual5/55/5
Tool Calling5/55/5
Classification4/54/5
Agentic Planning5/54/5
Structured Output4/55/5
Safety Calibration2/51/5
Strategic Analysis5/55/5
Persona Consistency5/55/5
Constrained Rewriting3/53/5
Creative Problem Solving4/54/5
Summary2 wins1 wins

Pricing Analysis

Using the payload's per-mTok prices (input+output): Claude Haiku 4.5 = $1 + $5 = $6.0 per mTok; o4 Mini = $1.1 + $4.4 = $5.5 per mTok. At 1M tokens/month (1,000 mTok) that's $6,000 for Haiku vs $5,500 for o4 Mini (difference $500). At 10M it's $60,000 vs $55,000; at 100M it's $600,000 vs $550,000. High-volume integrations (multi-million tokens/month) will feel the $500/million-token gap; teams optimizing marginal cost should prefer o4 Mini, while teams prioritizing agentic planning or safer responses may accept the ~9% higher monthly spend for Haiku.

Real-World Cost Comparison

TaskClaude Haiku 4.5o4 Mini
iChat response$0.0027$0.0024
iBlog post$0.011$0.0094
iDocument batch$0.270$0.242
iPipeline run$2.70$2.42

Bottom Line

Choose Claude Haiku 4.5 if you need: - stronger agentic planning and recovery (score 5 vs 4) - better safety calibration in our testing (2 vs 1) - long-context, persona, multilingual parity with o4 Mini (ties). Choose o4 Mini if you need: - best-in-class structured output and schema compliance (5 vs 4; rank 1 of 54) - stronger external math performance (97.8% MATH Level 5, 81.7% AIME 2025, Epoch AI) - lower token cost (≈$5,500 vs $6,000 per 1M tokens). If cost at scale matters more than marginal gains in agentic planning or safety, pick o4 Mini; if safer handling and planning are core product requirements, pick Claude Haiku 4.5.

How We Test

We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.

Frequently Asked Questions