Crazyrouter
Hvordan få tilgang til GPT-5 og GPT-5.2 via API – komplett utviklerguide
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Crazyrouter Team
January 23, 2026
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OpenAI har lansert sine kraftigste modeller så langt: GPT-5, GPT-5.2 og den resonneringsfokuserte o3-pro. Denne veiledningen viser deg hvordan du får tilgang til disse toppmoderne modellene gjennom Crazyrouters samlede API.
Støttede OpenAI-modeller#
Crazyrouter gir tilgang til hele OpenAI-modellutvalget:
| Model | Input ($/1M tokens) | Output ($/1M tokens) | Best For |
|---|---|---|---|
| gpt-5.2 | $1.75 | $14.00 | Latest flagship, complex tasks |
| gpt-5.2-pro | $3.50 | $28.00 | Enhanced reasoning |
| gpt-5 | $1.25 | $10.00 | General tasks |
| gpt-5-pro | $2.50 | $20.00 | Advanced analysis |
| gpt-5-mini | $0.25 | $2.00 | Cost-effective |
| gpt-5-nano | $0.05 | $0.40 | High-volume tasks |
| o3-pro | $20.00 | $80.00 | Complex reasoning |
| o3-mini | $1.10 | $4.40 | Efficient reasoning |
| o4-mini | $1.10 | $4.40 | Latest reasoning model |
Kom i gang raskt#
1. Hent API-nøkkelen din#
- Gå til Crazyrouter Console
- Naviger til "Token Management"
- Klikk "Create Token"
- Kopier API-nøkkelen din (begynner med
sk-)
2. Send din første forespørsel#
Med Python (anbefalt)#
python
from openai import OpenAI
client = OpenAI(
api_key="sk-your-api-key",
base_url="https://crazyrouter.com/v1",
default_headers={
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
}
)
response = client.chat.completions.create(
model="gpt-5.2",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain quantum computing in simple terms."}
],
temperature=0.7,
max_tokens=1000
)
print(response.choices[0].message.content)
Med Node.js#
javascript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'sk-your-api-key',
baseURL: 'https://crazyrouter.com/v1',
defaultHeaders: {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
}
});
async function main() {
const response = await client.chat.completions.create({
model: 'gpt-5.2',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Explain quantum computing in simple terms.' }
],
temperature: 0.7
});
console.log(response.choices[0].message.content);
}
main();
Med curl#
bash
curl https://crazyrouter.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-your-api-key" \
-H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" \
-d '{
"model": "gpt-5.2",
"messages": [{"role": "user", "content": "Hello, GPT-5.2!"}],
"temperature": 0.7
}'
Strømming av svar#
For sanntidsutdata kan du aktivere strømming:
python
from openai import OpenAI
client = OpenAI(
api_key="sk-your-api-key",
base_url="https://crazyrouter.com/v1",
default_headers={
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
}
)
stream = client.chat.completions.create(
model="gpt-5.2",
messages=[{"role": "user", "content": "Write a short story about AI."}],
stream=True
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
Bruk av resonneringsmodeller (o3-pro)#
o3-pro-modellen utmerker seg på komplekse resonneringsoppgaver:
python
response = client.chat.completions.create(
model="o3-pro",
messages=[
{"role": "user", "content": "Solve this step by step: If a train travels 120 miles in 2 hours, then stops for 30 minutes, then travels another 90 miles in 1.5 hours, what is the average speed for the entire journey including the stop?"}
]
)
print(response.choices[0].message.content)
GPT-5 Codex-modeller#
For kodegenereringsoppgaver kan du bruke de spesialiserte codex-modellene:
python
response = client.chat.completions.create(
model="gpt-5-codex",
messages=[
{"role": "user", "content": "Write a Python function to implement binary search"}
]
)
Tilgjengelige codex-varianter: gpt-5-codex, gpt-5-codex-high, gpt-5-codex-medium, gpt-5-codex-low, gpt-5.2-codex
Beste praksis#
- Velg riktig modell: Bruk gpt-5-nano til enkle oppgaver, gpt-5.2 til komplekse
- Sett riktig temperatur: Lav (0,1–0,3) for faktabaserte oppgaver, høyere (0,7–1,0) for kreative oppgaver
- Bruk strømming: For bedre brukeropplevelse i chat-applikasjoner
- Håndter feil på en god måte: Implementer retry-logikk for rate limits
Neste steg#
- Se Model Pricing for detaljerte kostnader
- Les API Documentation for avanserte funksjoner
- Bli med i vårt Discord Community for støtte
For spørsmål, kontakt support@crazyrouter.com
