Claude Sonnet 4.6 vs o4 Mini

Claude Sonnet 4.6 is the better pick for high-stakes, agentic, and safety-sensitive professional work — it wins 3 of 12 benchmark categories including safety_calibration (5 vs 1). o4 Mini is a strong, much cheaper alternative for strict structured-output tasks and high-volume deployments, with structured_output 5 vs Sonnet's 4 and output pricing of $4.40 vs $15.00 per million tokens.

anthropic

Claude Sonnet 4.6

Overall
4.67/5Strong

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
5/5
Strategic Analysis
5/5
Persona Consistency
5/5
Constrained Rewriting
3/5
Creative Problem Solving
5/5

External Benchmarks

SWE-bench Verified
75.2%
MATH Level 5
N/A
AIME 2025
85.8%

Pricing

Input

$3.00/MTok

Output

$15.00/MTok

Context Window1000K

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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

Head‑to‑head by test (scores from our 12‑test suite):

  • Wins for Claude Sonnet 4.6: creative_problem_solving 5 vs 4 (Sonnet ranks tied 1st among 54 tested), safety_calibration 5 vs 1 (Sonnet tied 1st of 55; o4 Mini rank 32 of 55), agentic_planning 5 vs 4 (Sonnet tied 1st of 54; o4 Mini rank 16). These wins indicate Sonnet is stronger at producing non‑obvious feasible ideas, refusing/allowing correctly per policy, and decomposing goals with failure recovery.
  • Win for o4 Mini: structured_output 5 vs 4 (o4 Mini tied 1st of 54), which maps to better JSON schema compliance and format adherence in our tests. Expect fewer formatting errors when strict output shape matters.
  • Ties: strategic_analysis (5/5), tool_calling (5/5), faithfulness (5/5), classification (4/4), long_context (5/5), persona_consistency (5/5), multilingual (5/5), constrained_rewriting (3/3). On these core dimensions both models perform similarly in our suite.
  • External benchmarks (supplementary): Claude Sonnet 4.6 scores 75.2% on SWE‑bench Verified and 85.8% on AIME 2025 (Epoch AI); o4 Mini scores 97.8% on MATH Level 5 and 81.7% on AIME 2025 (Epoch AI). Use these third‑party numbers as task‑specific signals (coding/algorithmic resolution vs competition math) — we attribute them to Epoch AI. In short: Sonnet pulls ahead on safety, creativity, and agentic planning; o4 Mini excels at strict structured output and math benchmarks and is far cheaper.
BenchmarkClaude Sonnet 4.6o4 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 Calibration5/51/5
Strategic Analysis5/55/5
Persona Consistency5/55/5
Constrained Rewriting3/53/5
Creative Problem Solving5/54/5
Summary3 wins1 wins

Pricing Analysis

Raw per‑million token costs: Sonnet 4.6 input $3 / output $15; o4 Mini input $1.10 / output $4.40. Using a simple 50/50 input/output split as an example, cost per million total tokens is $9.00 for Sonnet 4.6 vs $2.75 for o4 Mini. At scale that becomes: 1M tokens/month = $9.00 vs $2.75; 10M = $90 vs $27.50; 100M = $900 vs $275. The ~3.4x price ratio (payload priceRatio 3.409) means teams with heavy throughput or tight margins should favor o4 Mini; teams that need Sonnet’s safety and agentic strengths should budget the higher spend. Savings matter most to high‑volume apps (10M–100M tokens/month) and startups monitoring monthly cloud costs.

Real-World Cost Comparison

TaskClaude Sonnet 4.6o4 Mini
iChat response$0.0081$0.0024
iBlog post$0.032$0.0094
iDocument batch$0.810$0.242
iPipeline run$8.10$2.42

Bottom Line

Choose Claude Sonnet 4.6 if you need: safety‑calibrated responses, agentic planning, and creative/problem‑solving quality (scores 5 in those tests, tied top ranks), and you can absorb higher costs (output $15/million). Choose o4 Mini if you need: reliable structured output (structured_output 5), top math/competition performance (math_level_5 97.8% per Epoch AI), or a much lower price per token (example: $275/month vs $900/month at 100M tokens with a 50/50 split). If you require both, consider using o4 Mini for high‑volume, schema‑driven inference and Sonnet 4.6 for safety‑critical or heavily agentic workflows.

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