Skip to content
optera

Cost and performance comparison

Claude Sonnet 5 vs GPT-5.2

Model AAnthropic

Claude Sonnet 5

Capability score (editorial)92/100
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 source

How we verify prices

Model BOpenAI

GPT-5.2

Capability score (editorial)96/100
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 source

How we verify prices

In-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:

coding
95
94
reasoning
92
96
data extraction
92
91
creative tasks
91
95
vision/multimodal
90
92

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 terms beyond the list price, per 1M tokens
Pricing termClaude Sonnet 5GPT-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 API50% off input and output50% off input and output
Long promptsNo 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

CategoryClaude SonnetGPT-5.2Winner

Coding

95
94
A

Reasoning

92
96
B

Extraction

92
91
A

Creative

91
95
B

Vision

90
92
B
Claude Sonnet 5: 2 wins
GPT-5.2: 3 wins
GPT-5.2 leads overall

Speed Score

88/100vs85/100
ClaudeGPT-5.2

Context Window

1000Kvs400K
ClaudeGPT-5.2

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 Sonnet 5
$1.14
GPT-5.2
$0.70

Business email

One typical email (~200 words)

~270 tokens
Claude Sonnet 5
$77.22
GPT-5.2
$47.25

Code file

50-line Python script

~400 tokens
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_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 Sonnet 5

$188.76/mo

$2,265.12/yr

$2.00/M input$10.00/M output
Cheaper

GPT-5.2

$162.75/mo

$1,953.00/yr

$1.75/M input$14.00/M output

Annual Savings

$312.12 saved per year

GPT-5.2 cheaper · $26.01/mo

Related Comparisons

Explore similar model pairs to find your best fit