Model comparison
GPT-6 Astra vs Claude Opus 4.8
Compare GPT-6 Astra vs Claude Opus 4.8 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-6 Astra
openai · gpt-6-astra
- Input
- $10
- Output
- $50
- Context
- 1.1M
Claude Opus 4.8
anthropic · claude-opus-4-8
- Input
- $5
- Output
- $25
- Context
- 1M
Quick take
Claude Opus 4.8 has the lower input price at $5 per 1M input tokens. Claude Opus 4.8 is cheaper for the example blended workload below. GPT-6 Astra has the larger context window at 1.1M tokens.
Choose GPT-6 Astra if...
- GPT-6 Astra is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
Choose Claude Opus 4.8 if...
- Claude Opus 4.8 is the better default for cost-sensitive traffic and repeated high-volume calls.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | GPT-6 Astra | Claude Opus 4.8 | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $20.00 | $10.00 | Claude Opus 4.8 |
| 10M input + 2M output | $200.00 | $100.00 | Claude Opus 4.8 |
| 100M input + 20M output | $2,000.00 | $1,000.00 | Claude Opus 4.8 |
Context, output, and capability fit
GPT-6 Astra provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-6 Astra max output
- 128K
- Claude Opus 4.8 max output
- 128K
- GPT-6 Astra features
- prompt caching, function calling, vision
- Claude Opus 4.8 features
- prompt caching, function calling, vision
Risk notes for GPT-6 Astra
- High output price: cap max tokens for verbose generation workloads.
Risk notes for Claude Opus 4.8
- High output price: cap max tokens for verbose generation workloads.
Routing tags
frontierpremiumreasoningcodingagentslong-contextmultimodalcache-friendlyrag