OPENAI VS ANTHROPIC
GPT-5.6 Terra vs Claude Opus 5
GPT-5.6 Terra is about 2.2x cheaper than Claude Opus 5 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.044 vs $0.10. GPT-5.6 Terra has the larger context window (1,047,576 vs 1,000,000 tokens).
Pricing verified
API pricing per 1M tokens
| Model | Input / 1M tokens | Output / 1M tokens | Blended (3:1 mix) |
|---|---|---|---|
| GPT-5.6 Terra | $2.00 | $12.00 | $4.50 |
| Claude Opus 5 | $5.00 | $25.00 | $10.00 |
Rates from official OpenAI pricing and official Anthropic pricing, checked 2026-08-11.
What a real workload costs
Example: one request with 10,000 input tokens and 2,000 output tokens, then that request at 100,000 runs per month.
| Model | Per request (10K in / 2K out) | Per month (100K requests) | Monthly delta |
|---|---|---|---|
| GPT-5.6 Terra | $0.044 | $4,400 | — |
| Claude Opus 5 | $0.10 | $10,000 | +$5,600 |
Model your own prompt sizes and volumes in the token cost analyzer, or check caching savings with the prompt caching calculator.
Specs side by side
| Spec | GPT-5.6 Terra | Claude Opus 5 |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Context window | 1,047,576 tokens | 1,000,000 tokens |
| Model class | General text | Reasoning |
| Tokenizer | o200k_base (exact, public) | Proprietary (counts estimated) |
Count tokens for each model on its own page: GPT-5.6 Terra token counter and Claude Opus 5 token counter. All OpenAI models are on the OpenAI Token Counter. All Anthropic models are on the Claude Token Counter.
FAQ
GPT-5.6 Terra vs Claude Opus 5 FAQ
Which is cheaper, GPT-5.6 Terra or Claude Opus 5?
GPT-5.6 Terra is cheaper. At rates checked 2026-08-11, GPT-5.6 Terra costs $2.00 input / $12.00 output per 1M tokens, while Claude Opus 5 costs $5.00 input / $25.00 output — about a 2.2x difference on a typical 3:1 input-heavy workload.
How much does a real request cost on GPT-5.6 Terra vs Claude Opus 5?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.044 on GPT-5.6 Terra and $0.10 on Claude Opus 5. At 100,000 such requests per month that is $4,400 vs $10,000 — a difference of $5,600 per month.
Which has the bigger context window, GPT-5.6 Terra or Claude Opus 5?
GPT-5.6 Terra. It supports 1,047,576 tokens of context versus 1,000,000 tokens — roughly 786,000 English words in one request.
Do GPT-5.6 Terra and Claude Opus 5 count tokens the same way?
Not exactly. GPT-5.6 Terra uses the published o200k_base tokenizer and Claude Opus 5 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.