Anthropic: Claude Opus 4.7
Stronger Opus tier for advanced software work and high-stakes reasoning
- Model lab
- Anthropic
- Model family
- claude-opus
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to anthropic/claude-opus-4-7.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "anthropic/claude-opus-4-7"
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 4.7 API Pricing
| Type | Price information |
|---|---|
| Input | USD 4 / 1M tokens |
| Output | USD 20 / 1M tokens |
Benchmarks
Max
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
| Measurement variant | Output speed | Time to first token | Time to first answer token | End-to-end response time |
|---|---|---|---|---|
| Max | 52.34 tokens/s | 20.07 s | — | — |
Performance trends
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.
Claude Opus 4.7 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Claude Opus 4.7This page | USD 4 / 1M tokens | USD 20 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Claude Opus 5.5 | USD 3.2 / 1M tokens | USD 16 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Claude Opus 5 | USD 4 / 1M tokens | USD 20 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Claude Opus 4.8 | USD 3.43432 / 1M tokens | USD 17.17168 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Claude Opus 4.6 | USD 4 / 1M tokens | USD 20 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text, image, pdf
- Output
- text
- Context window
- 1,000,000
- Maximum output
- 128,000
- Release date
- 2026-04-16
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature setting
- No
- Open weights
- No
Frequently asked questions
What is Claude Opus 4.7 for?
Stronger Opus tier for advanced software work and high-stakes reasoning
What inputs and outputs does Claude Opus 4.7 support?
Recorded inputs: text, images, PDF; outputs: text.
How is Claude Opus 4.7 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 4.7?
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 anthropic/claude-opus-4-7. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
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.