Cost and performance comparison
Claude Sonnet 5 vs GPT-5.2
Model AAnthropic
Claude Sonnet 5
- Cost / 1M Tokens
- $4.40
- 70% in · 30% out mix
- ≈ $6.29 for the same text, tokenizer included
- Value Index (score÷cost)
- 14.6
- Higher = better value
- Speed
- 88/100
- Context
- 1.0M
- Tier
- Smart Tier
List price from the Anthropic pricing page, verified October 12, 2026.
Its tokenizer produces about 43% 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.
Check the sourceModel BOpenAI
GPT-5.2
- Cost / 1M Tokens
- $5.43
- 70% in · 30% out mix
- Value Index (score÷cost)
- 17.7
- Higher = better value
- Speed
- 85/100
- Context
- 400K
- Tier
- Smart Tier
List price from the OpenAI pricing page, verified October 12, 2026.
Check the sourceIn-depth analysis
Claude Sonnet 5 vs GPT-5.2: Detailed Comparison
Claude Sonnet 5 is Anthropic's mid-range-tier language model with a 1.0M-token context window, excelling at coding. GPT-5.2 from OpenAI is a mid-range-tier model supporting 400K tokens in context, with standout performance in reasoning.
Price is not the deciding factor here. For the same text, GPT-5.2 and Claude Sonnet 5 land within 14% 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 Sonnet 5 is priced at $2.00/M input tokens and $10.00/M output tokens. GPT-5.2 costs $1.75/M input and $14.00/M output.
Claude Sonnet 5 turns the same text into about 43% more tokens than GPT-5.2, because their tokenizers differ — so comparing list prices per token understates what Claude Sonnet 5 costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude Sonnet 5 works out at about $6.29 per million tokens and GPT-5.2 at $5.43. Every cost figure on this page includes that difference.
On iOPTERA's editorial scores, GPT-5.2 leads with 94/100 for coding and 96/100 for reasoning, against Claude Sonnet 5's 95/100 and 92/100.
Capability breakdown
Across the five core benchmark categories, here is how Claude Sonnet 5 and GPT-5.2 stack up head to head:
Best model by task
- coding: Claude Sonnet 5 wins with 95/100
- reasoning: GPT-5.2 wins with 96/100
- data extraction: Claude Sonnet 5 wins with 92/100
- creative tasks: GPT-5.2 wins with 95/100
- vision/multimodal: GPT-5.2 wins with 92/100
Estimated monthly cost at scale
For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Claude Sonnet 5 runs about $57.20 while GPT-5.2 runs about $45.50 — GPT-5.2 saves roughly $11.70 (20%) every month.
What actually decides it
Claude Sonnet 5 and GPT-5.2 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 Sonnet 5 and GPT-5.2 were released within 6 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.
Claude Sonnet 5 carries the larger context window at 1.0M tokens versus 400K for GPT-5.2. The gap is real but not decisive — it matters if your prompts routinely run long, and is irrelevant if they sit where most production prompts sit, well under 100K. Bear in mind that filling a large window is also what makes a request expensive.
Throughput is close enough to ignore — 88/100 versus 85/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
With prices this close (14% apart), pick on fit rather than cost. GPT-5.2 holds the benchmark edge; weigh that against where each one is weakest — vision processing and data extraction respectively — and use the calculator above with your own token mix.
What you actually pay
The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.
| Pricing term | Claude Sonnet 5 | GPT-5.2 |
|---|---|---|
| List price (input / output) | $2.00 / $10.00 | $1.75 / $14.00 |
| Cached input | $0.2010% of the input price | $0.17510% of the input price |
| Batch API | 50% off input and output | 50% off input and output |
| Long prompts | No surcharge across the 1M window | — |
| Input with 80% cache hits | $0.56 | $0.49 |
With 80% of input served from the cache, GPT-5.2 costs 39% less than Claude Sonnet 5 for the same input text, counting each model's tokenizer.The tokenizer factor for Claude Sonnet 5 is our estimate until it is measured.
The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.
Claude also bills cache writes: 1.25× the input price for a 5-minute cache, 2× for one hour.
Checked on October 8, 2026 against the pricing pages of Anthropic, OpenAI.
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 Sonnet 5
- $1.14
- GPT-5.2
- $0.70
Business email
One typical email (~200 words)
- Claude Sonnet 5
- $77.22
- GPT-5.2
- $47.25
Code file
50-line Python script
- Claude Sonnet 5
- $114.40
- GPT-5.2
- $70.00
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude Sonnet 5 and GPT-5.2, 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 Sonnet 5
$188.76/mo
$2,265.12/yr
GPT-5.2
$162.75/mo
$1,953.00/yr
Annual Savings
$312.12 saved per year
GPT-5.2 cheaper · $26.01/mo
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