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Short answer: there isn’t a “Claude Opus 4.8” model. The flagship model is Claude 3 Opus (model ID: claude-3-opus-20240229). Below is how to call it via the Anthropic Messages API.

Prerequisites
- Create an Anthropic account and API key: https://console.anthropic.com
- Keep the base URL and headers handy:
  - URL: https://api.anthropic.com/v1/messages
  - Headers:
    - x-api-key: YOUR_API_KEY
    - content-type: application/json
    - anthropic-version: 2023-06-01

Quick start (cURL)
curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "content-type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-3-opus-20240229",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Give me a 3-bullet summary of the benefits of serverless."}
    ]
  }'

Node.js (official SDK)
import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const msg = await anthropic.messages.create({
  model: "claude-3-opus-20240229",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Write a haiku about the sea." }],
});

console.log(msg.content[0].text);

Python (official SDK)
from anthropic import Anthropic
import os

client = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])

message = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Draft a friendly welcome email in 3 sentences."}]
)

print(message.content[0].text)

Streaming (server-sent events via cURL)
curl -N https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "content-type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -H "accept: text/event-stream" \
  -d '{
    "model": "claude-3-opus-20240229",
    "max_tokens": 1024,
    "stream": true,
    "messages": [{"role":"user","content":"Explain transformers in 5 short points."}]
  }'

Useful options
- system: Optional system prompt to set behavior.
- temperature: 0–1 (lower = more deterministic).
- top_p, top_k: Sampling controls (optional).
- max_tokens: Required upper bound for output length.

Common errors
- 401 Unauthorized: Check x-api-key and account status.
- 400 Bad Request: Verify JSON shape, model name, and required params (model, messages, max_tokens).
- 429 Rate limit: Back off and retry with exponential delay.

Notes
- If you’re using AWS Bedrock or Google Cloud Vertex AI, use their SDKs and provider-specific model IDs for Claude 3 Opus; headers/endpoints differ.
- For the exact, current model IDs and features, see Anthropic’s model list in the docs/console.

If you actually meant a different provider or a specific SDK (e.g., OpenRouter, Bedrock, Vertex), tell me which one and I’ll tailor the example.
Guide

Short answer: there isn’t a “Claude Opus 4.8” model. The flagship model is Claude 3 Opus (model ID: claude-3-opus-20240229). Below is how to call it via the Anthropic Messages API. Prerequisites - Create an Anthropic account and API key: https://console.anthropic.com - Keep the base URL and headers handy: - URL: https://api.anthropic.com/v1/messages - Headers: - x-api-key: YOUR_API_KEY - content-type: application/json - anthropic-version: 2023-06-01 Quick start (cURL) curl https://api.anthropic.com/v1/messages \ -H "x-api-key: $ANTHROPIC_API_KEY" \ -H "content-type: application/json" \ -H "anthropic-version: 2023-06-01" \ -d '{ "model": "claude-3-opus-20240229", "max_tokens": 1024, "messages": [ {"role": "user", "content": "Give me a 3-bullet summary of the benefits of serverless."} ] }' Node.js (official SDK) import Anthropic from "@anthropic-ai/sdk"; const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); const msg = await anthropic.messages.create({ model: "claude-3-opus-20240229", max_tokens: 1024, messages: [{ role: "user", content: "Write a haiku about the sea." }], }); console.log(msg.content[0].text); Python (official SDK) from anthropic import Anthropic import os client = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"]) message = client.messages.create( model="claude-3-opus-20240229", max_tokens=1024, messages=[{"role": "user", "content": "Draft a friendly welcome email in 3 sentences."}] ) print(message.content[0].text) Streaming (server-sent events via cURL) curl -N https://api.anthropic.com/v1/messages \ -H "x-api-key: $ANTHROPIC_API_KEY" \ -H "content-type: application/json" \ -H "anthropic-version: 2023-06-01" \ -H "accept: text/event-stream" \ -d '{ "model": "claude-3-opus-20240229", "max_tokens": 1024, "stream": true, "messages": [{"role":"user","content":"Explain transformers in 5 short points."}] }' Useful options - system: Optional system prompt to set behavior. - temperature: 0–1 (lower = more deterministic). - top_p, top_k: Sampling controls (optional). - max_tokens: Required upper bound for output length. Common errors - 401 Unauthorized: Check x-api-key and account status. - 400 Bad Request: Verify JSON shape, model name, and required params (model, messages, max_tokens). - 429 Rate limit: Back off and retry with exponential delay. Notes - If you’re using AWS Bedrock or Google Cloud Vertex AI, use their SDKs and provider-specific model IDs for Claude 3 Opus; headers/endpoints differ. - For the exact, current model IDs and features, see Anthropic’s model list in the docs/console. If you actually meant a different provider or a specific SDK (e.g., OpenRouter, Bedrock, Vertex), tell me which one and I’ll tailor the example.

Sådan bruger du Claude Opus 4.8 API'et: Lær at integrere og optimere Claude Opus 4.8. Prøv CometAPI — én nøgle, OpenAI-kompatibel. Kom i gang i dag.

A
Anna
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Guide

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For udviklere er den kombination vigtig af én simpel grund: den reducerer friktionen ved migrering, samtidig med at den hæver loftet for, hvad du kan bygge. Du behøver ikke at lære en helt ny API-form. Du opdaterer modelnavnet, bevarer base-URL'en og udruller med et større kontekstvindue og nyere ræsonneringsadfærd. DeepSeeks officielle dokumentation siger udtrykkeligt, at du skal beholde base-URL'en og ændre modelparameteren til deepseek-v4-pro eller deepseek-v4-flash.

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GPT Image 1.5 (OpenAI, dec. 2025) ligger i front med 4× hurtigere generering (5–15 sekunder), ELO-scorer i topklasse på LM Arena (~1,264–1,285) og overlegen evne til at følge instruktioner ved redigering. Seedream 4.5 (ByteDance, dec. 2025) udmærker sig ved typografi, 4K-opløsning, konsistens på tværs af flere billeder (op til 14 referencer) og en fast pris på $0.04 pr. billede. Vælg GPT Image 1.5 for hastighed og alsidighed; Seedream 4.5 til designtungt kommercielt arbejde. Begge er tilgængelige til en overkommelig pris via **CometAPI**’s samlede platform med 20%+ besparelser og integration med én nøgle.

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