Cost and performance comparison
GPT-5.6 Terra vs Claude Sonnet 5
Model AOpenAI
GPT-5.6 Terra
- Cost / 1M Tokens
- $5.00
- 70% in · 30% out mix
- Value Index (score÷cost)
- 18.8
- Higher = better value
- Speed
- 86/100
- Context
- 1.1M
- Tier
- Smart Tier
List price from the OpenAI pricing page, verified October 12, 2026.
Check the sourceModel BAnthropic
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 sourceIn-depth analysis
GPT-5.6 Terra vs Claude Sonnet 5: Detailed Comparison
GPT-5.6 Terra is OpenAI's mid-range-tier language model with a 1.1M-token context window, excelling at reasoning. Claude Sonnet 5 from Anthropic is a mid-range-tier model supporting 1.0M tokens in context, with standout performance in coding.
GPT-5.6 Terra is both the cheaper and the stronger model here — for the same text it costs 21% less than Claude Sonnet 5 and still leads on combined coding and reasoning by 0 points. There is no tradeoff to weigh on this pair: unless you need something specific from Claude Sonnet 5, the cheaper model is simply the better one. GPT-5.6 Terra is priced at $2.00/M input tokens and $12.00/M output tokens. Claude Sonnet 5 costs $2.00/M input and $10.00/M output.
Claude Sonnet 5 turns the same text into about 43% more tokens than GPT-5.6 Terra, 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-5.6 Terra at $5.00. Every cost figure on this page includes that difference.
On iOPTERA's editorial scores, GPT-5.6 Terra leads with 93/100 for coding and 94/100 for reasoning, against Claude Sonnet 5's 95/100 and 92/100.
Capability breakdown
Across the five core benchmark categories, here is how GPT-5.6 Terra and Claude Sonnet 5 stack up head to head:
Best model by task
- coding: Claude Sonnet 5 wins with 95/100
- reasoning: GPT-5.6 Terra wins with 94/100
- data extraction: GPT-5.6 Terra wins with 93/100
- creative tasks: GPT-5.6 Terra wins with 92/100
- vision/multimodal: GPT-5.6 Terra wins with 93/100
Estimated monthly cost at scale
For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-5.6 Terra runs about $44.00 while Claude Sonnet 5 runs about $57.20 — GPT-5.6 Terra saves roughly $13.20 (23%) every month.
What actually decides it
GPT-5.6 Terra and Claude Sonnet 5 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.
GPT-5.6 Terra and Claude Sonnet 5 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: 1.1M against 1.0M. 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 86/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
GPT-5.6 Terra wins this comparison outright — cheaper and stronger. Choose Claude Sonnet 5 only if it has a specific capability you need; on price and benchmarks it is behind on both.
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 | GPT-5.6 Terra | Claude Sonnet 5 |
|---|---|---|
| List price (input / output) | $2.00 / $12.00 | $2.00 / $10.00 |
| Cached input | $0.2010% of the input price | $0.2010% of the input price |
| Batch API | 50% off input and output | 50% off input and output |
| Long prompts | Over 272K tokens: $4.00 / $18.00 | No surcharge across the 1M window |
| Input with 80% cache hits | $0.56 | $0.56 |
With 80% of input served from the cache, GPT-5.6 Terra costs 30% 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 OpenAI, Anthropic.
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!"
- GPT-5.6 Terra
- $0.80
- Claude Sonnet 5
- $1.14
Business email
One typical email (~200 words)
- GPT-5.6 Terra
- $54.00
- Claude Sonnet 5
- $77.22
Code file
50-line Python script
- GPT-5.6 Terra
- $80.00
- Claude Sonnet 5
- $114.40
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-5.6 Terra and Claude Sonnet 5, 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
GPT-5.6 Terra
$150.00/mo
$1,800.00/yr
Claude Sonnet 5
$188.76/mo
$2,265.12/yr
Annual Savings
$465.12 saved per year
GPT-5.6 Terra cheaper · $38.76/mo
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