deepseek/deepseek-reasoner

deepseek/deepseek-reasoner
by deepseek · text in · 1.05M ctx

DeepSeek alias for V4 Flash thinking mode — 1M context, open chain-of-thought reasoning (legacy alia…

Endpoints:/v1/chat/completions
INPUT$0.43/ 1M tokens
OUTPUT$0.87/ 1M tokens
p50 TTFT294 ms7d
p95 TTFT406 ms7d
TRAFFIC6.7Mtokens / 7d
▶ Try in playground</> Use via API
Code samples
from openai import OpenAI

client = OpenAI(
    base_url="https://orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="deepseek/deepseek-reasoner",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Pricing
Input / 1M tokens$0.435
Output / 1M tokens$0.870
Cache read / 1M$0.0036
CurrencyUSD
Performancelast 7 days
TTFT p50
294 ms
Output speed
85.8 tok/s
TTFT p95
406 ms
Error rate
0.23%
Public benchmarkspending
No public benchmark scores ingested yet.
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FAQ
How much does deepseek/deepseek-reasoner cost on OrcaRouter?
deepseek/deepseek-reasoner is priced at $0.43 per 1M input tokens and $0.87 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is deepseek/deepseek-reasoner's context window?
deepseek/deepseek-reasoner supports a context window of 1M tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call deepseek/deepseek-reasoner via the OpenAI SDK?
Set OpenAI base_url to https://orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="deepseek/deepseek-reasoner" in the chat.completions.create call.
Does OrcaRouter rate-limit deepseek/deepseek-reasoner?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.
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