Moduck

Anthropic: Claude Opus 4.6

High-end Claude for difficult coding, planning, and slower expert reasoning

Model lab
Anthropic
Model family
claude-opus
Modalitiestext, image, pdf → text
Context window1,000,000
Maximum output128,000
InputUSD 4 / 1M tokens
OutputUSD 20 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/anthropic/claude-opus-4-6.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/anthropic/claude-opus-4-6"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Claude Opus 4.6 API Pricing

TypePrice information
InputUSD 4 / 1M tokens
OutputUSD 20 / 1M tokens
Cached inputUSD 0.4 / 1M tokens
Cache writeUSD 5 / 1M tokens

Benchmarks

Max

Intelligence Index · v4.331.9
Coding Index—
Agentic Index—

Non-reasoning, High

Intelligence Index · v4.326.4
Coding Index—
Agentic Index—
BenchmarkScoreMeasurementSource
SWE-Bench Pro51.9resolve rate · Dataset: public
SWE-Atlas Codebase QnA33.3score · Harness: Claude Code
SWE-Atlas Codebase QnA30score · Harness: Mini-SWE-Agent
SWE-Atlas Refactoring35.58score · Harness: Claude Code
SWE-Atlas Test Writing36.67score · Harness: Claude Code
SWE-Atlas Test Writing36.08score · Harness: Mini-SWE-Agent
Artificial Analysis Coding Agent Index51.3average pass@1 · Variant: medium · Harness: Claude Code
SWE-Atlas Codebase QnA71.9pass@1 · Variant: medium · Harness: Claude Code
SWE-Bench Pro11.8pass@1 · Dataset: hard-aa · Variant: medium · Harness: Claude Code
Terminal-Bench70.2pass@1 · Variant: medium · Harness: Claude Code · Version: 2.1

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement · Max

Output speed47.44 tokens/s
Time to first token24.82 s
Time to first answer token—
End-to-end response time—
Measurement variantOutput speedTime to first tokenTime to first answer tokenEnd-to-end response time
Max47.44 tokens/s24.82 s——
Non-reasoning, High38.84 tokens/s2.51 s——

Performance trends

Throughput47.44 tok/sCurrent
Time to first token24.82 sCurrent
End-to-end latency7.6 sCurrent
Throughput
Current47.44 tok/s
Window average45.7 tok/s
Time to first token
Current24.82 s
Window average28.6 s
End-to-end latency
Current7.6 s
Window average7.5 s
Tail latency (P99)
Current14.7 s
Window average16.8 s
Prompt cache hit rate
Current26.4%
Window average23.3%
Error rate
Current0.0%
Window average0.2%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Claude Opus 4.6 Compare models

ModelInput priceOutput priceContext windowCapabilities
Claude Opus 4.6This pageUSD 4 / 1M tokensUSD 20 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Claude Opus 5.5USD 3.2 / 1M tokensUSD 16 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Claude Opus 5USD 4 / 1M tokensUSD 20 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Claude Opus 4.8USD 3.43432 / 1M tokensUSD 17.17168 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Claude Opus 4.7USD 4 / 1M tokensUSD 20 / 1M tokens1,000,000Text output · Reasoning · Tool calling

Model specifications

Input
text, image, pdf
Output
text
Context window
1,000,000
Maximum output
128,000
Release date
2026-02-05
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
No

Frequently asked questions

What is Claude Opus 4.6 for?

High-end Claude for difficult coding, planning, and slower expert reasoning

What inputs and outputs does Claude Opus 4.6 support?

Recorded inputs: text, images, PDF; outputs: text.

How is Claude Opus 4.6 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 4 / 1M tokens; Output USD 20 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Claude Opus 4.6?

Current model records list Context window 1,000,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses moduck/anthropic/claude-opus-4-6. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.