Claude Opus 4.6 vs GPT-6 Astra on Amazon Bedrock
In us-east-1, Claude Opus 4.6 costs $5.00 per 1M input tokens against $10.00 — a 2.0× difference. Prices, context, capabilities and region coverage below.
Claude Opus 4.6 Anthropic
anthropic.claude-opus-4-6-v1 - Input / 1M
- $5.00
- Output / 1M
- $25.00
- Context
- 1M
- Est. / month
- $5,850
GPT-6 Astra OpenAI
openai.gpt-6-astra - Input / 1M
- $10.00
- Output / 1M
- $50.00
- Context
- 1.1M
- Est. / month
- $11,700
Capabilities
| Capability | Claude Opus 4.6 | GPT-6 Astra |
|---|---|---|
| Tool use | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Prompt caching | ✓ | ✓ |
| Batch inference | ✓ | — |
| Streaming | ✓ | ✓ |
Region availability
| Region | Claude Opus 4.6 | GPT-6 Astra |
|---|---|---|
| us-east-1 US East (N. Virginia) | Inference profile only | Inference profile only |
| us-east-2 US East (Ohio) | Inference profile only | Inference profile only |
| us-west-1 US West (N. California) | Inference profile only | Inference profile only |
| us-west-2 US West (Oregon) | Inference profile only | Inference profile only |
| ca-central-1 Canada (Central) | Inference profile only | Inference profile only |
| ca-west-1 Canada West (Calgary) | Inference profile only | Inference profile only |
| mx-central-1 Mexico (Central) | Inference profile only | Inference profile only |
| eu-west-1 EU (Ireland) | Inference profile only | Inference profile only |
| eu-west-2 EU (London) | On-demand | Inference profile only |
| eu-west-3 EU (Paris) | Inference profile only | Inference profile only |
| eu-central-1 EU (Frankfurt) | Inference profile only | Inference profile only |
| eu-central-2 Europe (Zurich) | Inference profile only | Inference profile only |
| eu-north-1 EU (Stockholm) | Inference profile only | Inference profile only |
| eu-south-1 EU (Milan) | Inference profile only | Inference profile only |
| eu-south-2 Europe (Spain) | Inference profile only | Inference profile only |
| ap-east-2 Asia Pacific (Taipei) | Inference profile only | Inference profile only |
| ap-northeast-1 Asia Pacific (Tokyo) | Inference profile only | Inference profile only |
| ap-northeast-2 Asia Pacific (Seoul) | Inference profile only | Inference profile only |
| ap-northeast-3 Asia Pacific (Osaka) | Inference profile only | Inference profile only |
| ap-south-1 Asia Pacific (Mumbai) | Inference profile only | Inference profile only |
| ap-south-2 Asia Pacific (Hyderabad) | Inference profile only | Inference profile only |
| ap-southeast-1 Asia Pacific (Singapore) | Inference profile only | Inference profile only |
| ap-southeast-2 Asia Pacific (Sydney) | Inference profile only | Inference profile only |
| ap-southeast-3 Asia Pacific (Jakarta) | Inference profile only | Inference profile only |
| ap-southeast-4 Asia Pacific (Melbourne) | Inference profile only | Inference profile only |
| ap-southeast-5 Asia Pacific (Malaysia) | Inference profile only | Inference profile only |
| ap-southeast-6 Asia Pacific (New Zealand) | Inference profile only | Inference profile only |
| ap-southeast-7 Asia Pacific (Thailand) | Inference profile only | Inference profile only |
| il-central-1 Israel (Tel Aviv) | Inference profile only | Inference profile only |
| af-south-1 Africa (Cape Town) | Inference profile only | Inference profile only |
| sa-east-1 South America (Sao Paulo) | Inference profile only | Inference profile only |
31 of 31 regions support both models.
Common questions
- Is Claude Opus 4.6 or GPT-6 Astra cheaper on Amazon Bedrock?
- Claude Opus 4.6 is cheaper on input tokens: $5.00 against $10.00 per 1M in us-east-1, a 2.0× difference. At 2,000 runs a day with 12,000 input and 1,500 output tokens each, that is $5,850 against $11,700 a month before any caching or batch discount.
- Does Claude Opus 4.6 or GPT-6 Astra have the larger context window?
- GPT-6 Astra, at 1.1M tokens against 1M.
- Which regions support Claude Opus 4.6 and GPT-6 Astra?
- Claude Opus 4.6 runs in 31 of the 31 AWS regions tracked here and GPT-6 Astra in 31. 31 regions support both, so a workload that may switch between them should target one of those.
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