Cost and performance comparison
Claude 3.5 Sonnet vs Claude 3.7 Sonnet
Model AAnthropic
Claude 3.5 Sonnet
- Cost / 1M Tokens
- $6.60
- 70% in · 30% out mix
- ≈ $7.26 for the same text, tokenizer included
- Value Index (score÷cost)
- 12.3
- Higher = better value
- Speed
- 95/100
- 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.
Model BAnthropic
Claude 3.7 Sonnet
- 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.
In-depth analysis
Claude 3.5 Sonnet vs Claude 3.7 Sonnet: Detailed Comparison
Claude 3.5 Sonnet is Anthropic's mid-range-tier language model with a 200K-token context window, excelling at creative tasks. Claude 3.7 Sonnet from Anthropic is a mid-range-tier model supporting 200K tokens in context, with standout performance in data extraction.
Price is not the deciding factor here. For the same text, Claude 3.5 Sonnet and Claude 3.7 Sonnet land within 0% of each other, which is inside the margin your own input/output ratio will move anyway. Pick on capability, context, or latency instead — the monthly bill will look much the same either way. Claude 3.5 Sonnet is priced at $3.00/M input tokens and $15.00/M output tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output.
On iOPTERA's editorial scores, Claude 3.7 Sonnet leads with 90/100 for coding and 90/100 for reasoning, against Claude 3.5 Sonnet's 88/100 and 89/100.
Capability breakdown
Across the five core benchmark categories, here is how Claude 3.5 Sonnet and Claude 3.7 Sonnet stack up head to head:
Best model by task
- coding: Claude 3.7 Sonnet wins with 90/100
- reasoning: Claude 3.7 Sonnet wins with 90/100
- data extraction: 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 3.5 Sonnet runs about $66.00 while Claude 3.7 Sonnet runs about $66.00 — Claude 3.5 Sonnet saves roughly $0.00 (0%) every month.
What actually decides it
Both models come from Anthropic, so they share a tokenizer, an API surface, and a billing account. Switching between them is a model-string change and nothing else — no new SDK, no re-tokenizing your prompts to re-estimate cost, no second vendor to onboard. That makes routing between them far cheaper to implement than a cross-vendor split.
These are the same lab's model at the same tier, 8 months apart — so this is an upgrade question, not a choice between alternatives. Claude 3.7 Sonnet is the current entry; Claude 3.5 Sonnet is here because plenty of production traffic still runs on it. If you are starting something new there is little reason to pick the older one, and if you are already on it the question is whether the migration cost is worth the gain.
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 — 95/100 versus 88/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
With prices this close (0% apart), pick on fit rather than cost. Claude 3.7 Sonnet holds the benchmark edge; weigh that against where each one is weakest — coding and vision processing respectively — and use the calculator above with your own token mix.
Capability scores
iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
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!"
- Claude 3.5 Sonnet
- $1.32
- Claude 3.7 Sonnet
- $1.32
Business email
One typical email (~200 words)
- Claude 3.5 Sonnet
- $89.10
- Claude 3.7 Sonnet
- $89.10
Code file
50-line Python script
- Claude 3.5 Sonnet
- $132.00
- Claude 3.7 Sonnet
- $132.00
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude 3.5 Sonnet and Claude 3.7 Sonnet, 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_tokensEvery 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
Claude 3.5 Sonnet
$217.80/mo
$2,613.60/yr
Claude 3.7 Sonnet
$217.80/mo
$2,613.60/yr
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