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Cost and performance comparison

Claude 3.7 Sonnet vs o3-mini

Model AAnthropic

Claude 3.7 Sonnet

Capability score (editorial)90/100
Cost / 1M Tokens
$6.60
70% in · 30% out mix
≈ $7.26 for the same text, tokenizer included
Value Index (score÷cost)
12.4
Higher = better value
Speed
88/100
Context
200K
Tier
Smart Tier

Last list price before the model was retired.

Its tokenizer produces about 10% more tokens than OpenAI's for the same text, so the real cost runs higher than the list price suggests. This is an estimate: the tokenizer has not been measured yet.

How we verify prices

Model BOpenAI

o3-mini

Capability score (editorial)93/100
Cost / 1M Tokens
$2.09
70% in · 30% out mix
Value Index (score÷cost)
44.5
Higher = better value
Speed
78/100
Context
200K
Tier
Smart Tier

Last list price before the model was retired.

How we verify prices

In-depth analysis

Claude 3.7 Sonnet vs o3-mini: Detailed Comparison

Claude 3.7 Sonnet is Anthropic's mid-range-tier language model with a 200K-token context window, excelling at data extraction. o3-mini from OpenAI is a mid-range-tier model supporting 200K tokens in context, with standout performance in reasoning.

o3-mini is both the cheaper and the stronger model here — for the same text it costs 71% less than Claude 3.7 Sonnet and still leads on combined coding and reasoning by 1 points. There is no tradeoff to weigh on this pair: unless you need something specific from Claude 3.7 Sonnet, the cheaper model is simply the better one. Claude 3.7 Sonnet is priced at $3.00/M input tokens and $15.00/M output tokens. o3-mini costs $1.10/M input and $4.40/M output.

Claude 3.7 Sonnet turns the same text into about 10% more tokens than o3-mini, because their tokenizers differ — so comparing list prices per token understates what Claude 3.7 Sonnet costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude 3.7 Sonnet works out at about $7.26 per million tokens and o3-mini at $2.09. Every cost figure on this page includes that difference.

On iOPTERA's editorial scores, o3-mini leads with 88/100 for coding and 93/100 for reasoning, against Claude 3.7 Sonnet's 90/100 and 90/100.

Capability breakdown

Across the five core benchmark categories, here is how Claude 3.7 Sonnet and o3-mini stack up head to head:

coding
90
88
reasoning
90
93
data extraction
91
85
creative tasks
91
80
vision/multimodal
89
0

Best model by task

  • coding: Claude 3.7 Sonnet wins with 90/100
  • reasoning: o3-mini wins with 93/100
  • data extraction: Claude 3.7 Sonnet wins with 91/100
  • creative tasks: Claude 3.7 Sonnet wins with 91/100
  • vision/multimodal: Claude 3.7 Sonnet wins with 89/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Claude 3.7 Sonnet runs about $66.00 while o3-mini runs about $19.80 — o3-mini saves roughly $46.20 (70%) every month.

What actually decides it

Claude 3.7 Sonnet and o3-mini come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

Claude 3.7 Sonnet and o3-mini were released within 1 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

Context is effectively a tie: 200K against 200K. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.

Throughput is close enough to ignore — 88/100 versus 78/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

o3-mini wins this comparison outright — cheaper and stronger. Choose Claude 3.7 Sonnet only if it has a specific capability you need; on price and benchmarks it is behind on both.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryClaude 3.7o3-miniWinner

Coding

90
88
A

Reasoning

90
93
B

Extraction

91
85
A

Creative

91
80
A

Vision

89
0
A
Claude 3.7 Sonnet: 4 wins
o3-mini: 1 wins
Claude 3.7 Sonnet leads overall

Speed Score

88/100vs78/100
Claudeo3-mini

Context Window

200Kvs200K
Claudeo3-mini

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens
Claude 3.7 Sonnet
$1.32
o3-mini
$0.44

Business email

One typical email (~200 words)

~270 tokens
Claude 3.7 Sonnet
$89.10
o3-mini
$29.70

Code file

50-line Python script

~400 tokens
Claude 3.7 Sonnet
$132.00
o3-mini
$44.00

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude 3.7 Sonnet and o3-mini, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

30M tokens
Prompt 70%Completion 30%

Claude 3.7 Sonnet

$217.80/mo

$2,613.60/yr

$3.00/M input$15.00/M output
Cheaper

o3-mini

$62.70/mo

$752.40/yr

$1.10/M input$4.40/M output

Annual Savings

$1,861.20 saved per year

o3-mini cheaper · $155.10/mo

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