Claude Opus 5.5 API Pricing: $4 Input and $20 Output per Million Tokens
Current Opus 5.5 BazaarLink rates, cache prices, one-million-token context, and a copy-ready API-compatible API call.
Pricing checked on September 26, 2026 against the public BazaarLink model catalogue and Anthropic’s model documentation.
Claude Opus 5.5 API price table
| Item | Current rate |
|---|---|
| Input | $4.00 per 1M tokens |
| Output | $20.00 per 1M tokens |
| 5-minute cache write | $5.00 per 1M tokens |
| 1-hour cache write | $8.00 per 1M tokens |
| Cache read | $0.20 per 1M tokens |
| Context window | 1,000,000 tokens |
| Maximum output | 128,000 tokens |
The catalogue uses Claude Opus 5.5 as the model ID. The price is token based: each request combines the input-token charge and output-token charge. Cache rates apply only to the matching cache operation; they are not a replacement for the normal input rate.
USD cost examples
Use this estimate:
total = input_tokens / 1,000,000 × 4 + output_tokens / 1,000,000 × 20
| Example request | Estimated total |
|---|---|
| 10,000 input + 2,000 output tokens | $0.08 |
| 100,000 input + 10,000 output tokens | $0.60 |
| 1,000,000 input + 50,000 output tokens | $5.00 |
These examples exclude cache operations. A stable system prompt or other repeated prefix can be evaluated for caching separately, using the published write and read rates.
Context and maximum output
Anthropic’s current model page lists a 1M-token context window and a 128K-token maximum output. Context is the amount the request can make available to the model; it is not a flat charge. Your actual bill still depends on the input and output tokens used.
Calling it with an OpenAI-compatible SDK
The request shape below uses the OpenAI Python client with a BazaarLink-compatible base URL. Keep the API key in an environment variable.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.bazaarlink.ai/v1",
api_key=os.environ["BAZAARLINK_API_KEY"],
)
response = client.chat.completions.create(
model="claude-opus-5.5",
messages=[
{"role": "user", "content": "Summarize this document in five bullets."}
],
)
print(response.choices[0].message.content)
Keep max output large enough for the answer you actually need. If you are sending long repeated context, compare the cache-write and cache-read charges with the normal input charge before changing the request shape.
Is Opus 5.5 worth it?
Opus 5.5 is easiest to justify when the task benefits from long context, sustained reasoning, or careful coding and knowledge work. For a direct capability comparison, see Claude Opus 5.5 vs Opus 5. If the task is short, repetitive, and cost-sensitive, calculate the token mix first; a lower-priced model may be a better fit.
Sources
FAQ
What is the current Opus 5.5 API rate?
The catalogue lists $4 input and $20 output per 1M tokens. Cache reads are $0.20, 5-minute writes are $5, and 1-hour writes are $8 per 1M tokens.
Is Opus 5.5 cheaper than Opus 5?
Do not assume a fixed saving: calculate your input, output and cache mix against the current catalogue rates, then compare it with the rates for the model you are replacing.
What context size and maximum output does the catalogue documentation list?
The current documentation lists a 1,000,000-token context window and a 128,000-token maximum output.
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