Anthropic
Claude Opus (Bedrock Singapore)
model
claude-opus-bedrock-sgPremiumStableVisionStreamingVisionToolsBatchLong contextSingapore
Context
1.0M
Input / 1M tokens
$5.00
Output / 1M tokens
$25.00
Weighted tokens formula
0.5× provider × 17× tier
About this model
Claude Opus (Bedrock Singapore)
Claude Opus via AWS Bedrock in Singapore (ap-southeast-1). Same weights + pricing as direct, processed in Singapore under PDPA.
Training cutoff
2024-11
Parameters
Not disclosed
Best for
Use cases
- ✓Singapore-resident production AI
- ✓PDPA-bound workloads
Strengths
What it does well
- ●Singapore data processing
- ●Same Opus quality + pricing
- ●Low latency in SG region
Limitations
Know the trade-offs
- !Bedrock feature parity may lag direct
Code example
Chat completion with Claude Opus (Bedrock Singapore)
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="claude-opus-bedrock-sg",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Weighted tokens
weighted_tokens = raw_tokens × 0.5 (provider) × 17 (tier)
Pro plan: 20M weighted tokens/month. Combined multiplier 8.5×: 2,352,941 raw tokens available.
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