OpenAI o3 vs Claude Sonnet 4.5: The Developer's Cost Guide
o3 and Claude Sonnet 4.5 are both frontier models, but they're built for different jobs. This guide tells you exactly which one to use — and when switching saves you 70%+ on AI costs.
The Short Version
Use o3 when: multi-step reasoning, mathematics, competitive programming, or PhD-level science problems.
Use Claude Sonnet 4.5 when: writing, code review, analysis, long-document summarisation, customer support, or anything where cost efficiency matters.
For 80% of production use cases, Claude Sonnet 4.5 is the right choice. o3 is a specialist.
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Cost Comparison
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context |
|---|---|---|---|
| OpenAI o3 | ~$10 | ~$40 | 200K |
| Claude Sonnet 4.5 | $3 | $15 | 200K |
| GPT-4o | $5 | $15 | 128K |
| Claude Haiku 3.5 | $0.80 | $4 | 200K |
Key takeaway: For most tasks, Claude Sonnet 4.5 is 60-70% cheaper than o3 and delivers comparable or better results on non-reasoning workloads.
When o3 Wins
o3 is a reasoning model — it uses extended internal "thinking" before answering. This makes it uniquely powerful for:
# o3 is worth the premium here — multi-constraint optimisation
response = client.chat.completions.create(
model="o3",
messages=[{"role": "user", "content": "Solve the travelling salesman problem for these 15 cities using dynamic programming, then explain your approach and complexity."}],
reasoning_effort="high" # o3-specific parameter
)The reasoning_effort parameter lets you control the thinking budget — use "low" for 70% cost reduction when the task isn't worth full reasoning.
When Claude Sonnet 4.5 Wins
Claude Sonnet 4.5 is Anthropic's flagship production model — high intelligence at reasonable cost. It's the right choice for:
import anthropic
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=1024,
messages=[
{"role": "user", "content": "Summarise this earnings report and flag any risk factors: ..."}
]
)The Migration Decision
Migrating from o3 to Claude Sonnet 4.5
Most apps currently using o3 are over-paying for non-reasoning tasks. Ask yourself:
A/B test pattern:
import random
def get_model_for_task(task_type: str) -> str:
REASONING_TASKS = {"math", "algorithm_design", "proof_verification"}
if task_type in REASONING_TASKS:
return "o3"
# Route 10% to o3 as quality baseline, 90% to Sonnet
return "o3" if random.random() < 0.1 else "claude-sonnet-4-5"Checklist Before Switching
messages + system vs OpenAI's single messages array)max_tokens — Claude's default is lower; set explicitlyBottom Line
For a typical SaaS app spending $500/month on o3, switching to Claude Sonnet 4.5 for non-reasoning tasks saves $300–400/month with no quality degradation. Claim your free Anthropic credits and run the benchmark yourself.