Intelligence
Index v5.0
Custom pricing for production workloads
Anthropic's flagship model for demanding reasoning, coding and long-horizon agentic work, with a 1M token context window and always-on adaptive thinking.
anthropic/claude-opus-5.5https://api.aimlapi.com/v1Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding and long-horizon agentic work, and the first model in the Claude 5.5 family. Released on 22 September 2026, it succeeds Claude Opus 5. Anthropic says it performs at the level of Claude Fable 5.1 on most work while costing about 40% less to run than Opus 5, and generates output more than 30% faster than Opus 5.
Results published by Anthropic at launch, at max effort unless noted.
Fable-level work at Opus cost
Anthropic reports performance at the level of Claude Fable 5.1 on most tasks, with input and output tokens 20% cheaper than Opus 5 and cache reads 60% cheaper.
Agentic coding
The largest gains are on long, complex engineering work: Terminal-Bench 4.0 rises from 52.3% on Opus 5 to 66.4%, and one early tester completed a 680,000-line code migration in under a day.
Faster output
Output is generated more than 30% faster than Opus 5 at the default setting.
Always-on adaptive thinking
The model decides how much to reason on each step; the effort level trades depth against cost.
Agentic coding
Large migrations, refactors and multi-step changes across big codebases.
Enterprise knowledge work
Research, analysis and document-heavy workflows where quality matters most.
Computer use and automation
Long-running agents that operate software and carry context across many steps.
Sources: https://www.anthropic.com/claude-opus-5-5 · https://docs.aimlapi.com/api-references/text-models-llm/anthropic/claude-opus-5.5
See how Claude Opus 5.5 compares in intelligence, generation speed and cost per task. Data retrieved Nov 3, 2026.
Compare 5 models available on AI/ML API across 4 independent benchmarks.
Expert-written questions across academic subjects.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $4 | 1M tokens |
| Output | $20 | 1M tokens |
| Cached input | $0.2 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $4 | $20 | |
| $0.1 | $0.5 | |
| $2 | $10 | |
| $5 | $25 | |
| $10 | $50 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "anthropic/claude-opus-5.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "anthropic/claude-opus-5.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "anthropic/claude-opus-5.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Yes. Claude Opus 5.5 is available on AI/ML API through the OpenAI-compatible chat completions endpoint under the model ID anthropic/claude-opus-5.5.
Anthropic released Claude Opus 5.5 on 22 September 2026 as the first model in the Claude 5.5 family.
Claude Opus 5.5 costs $4 input and $20 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Anthropic reports that Opus 5.5 performs at the level of Claude Fable 5.1 on most work, costs about 40% less to run than Opus 5 and generates output more than 30% faster. The biggest gains are in agentic coding: Terminal-Bench 4.0 goes from 52.3% on Opus 5 to 66.4%, and CursorBench 4.0 from 46.6% to 57.8%.
Change the model ID from anthropic/claude-opus-5 to anthropic/claude-opus-5.5. Both are served through the same chat completions endpoint on AI/ML API, so nothing else in your integration needs to change.
Use anthropic/claude-opus-5.5 as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.
Claude Opus 5.5 accepts up to 1,000,000 tokens of context and returns up to 128,000 output tokens.