★ Head-to-head
Claude Opus 5.5 vs GPT-6 Astra: API Cost Comparison
Frontier-quality options for hard coding and agent work. Astra is OpenAI's flagship; Opus 5.5 sits below Anthropic's top tier on price.
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- Updated 7 Nov 2026
| Side by side | Claude Opus 5.5 Anthropic | GPT-6 Astra OpenAI |
|---|---|---|
| Input / 1M | $4 | $10 |
| Output / 1M | $20 | $50 |
| Cached input / 1M | $0.20 | $1 |
| Batch discount | 50% off | 50% off |
| Context window | 1M tokens | 1.05M tokens |
| Long-prompt surcharge | None | Above 272K input |
| Tier | Frontier | Frontier |
Workload
Repeated system prompt or docs
Jobs that can wait hours
Models
$ per 1M tokens, input / output
Monthly cost · 30 days
- Cheapest
- $4,200
- Claude Opus 5.5
- Priciest
- $10,500
- GPT-6 Astra
- Spread
- 2.5×
- priciest vs cheapest
| Per 1K users / mo | |||
|---|---|---|---|
Claude Opus 5.5Cheapest | $0.0140 | $4,200 | $2,100 |
GPT-6 Astra | $0.0350 | $10,500 | $5,250 |
Where the money is
If 60% of your traffic is simple enough for Claude Opus 5.5, routing it there instead of GPT-6 Astra saves about $3,780/month.
Caching half your input on GPT-6 Astra (a shared system prompt or document) would cut about $2,700/month.
You're looking at $4,200–$10,500/month.
Most AI products I audit can cut that 30–60% with routing, caching and shorter prompts.
Cost at three traffic levels
Same request on both: 2,000 input tokens and 300 output tokens, no caching, no batch, 30-day month.
| Requests / day | Claude Opus 5.5 | GPT-6 Astra | Difference |
|---|---|---|---|
| 1,000 | $420 | $1,050 | $630 |
| 10,000 | $4,200 | $10,500 | $6,300 |
| 100,000 | $42,000 | $105,000 | $63,000 |
By request type:
| Per 1K calls | Claude Opus 5.5 | GPT-6 Astra |
|---|---|---|
| Classification or routing call | $1.80 | $4.50 |
| Support chat reply | $11.00 | $27.50 |
| RAG answer over your docs | $32.00 | $80.00 |
| Long document summary | $180 | $450 |
When to pick which
- Claude Opus 5.5 is 2.5× cheaper on input tokens, which matters most for RAG and long prompts.
- Claude Opus 5.5 is 2.5× cheaper on output tokens, which matters most for long answers, code generation and reasoning.
- Cache reads are 5.0× cheaper on Claude Opus 5.5 ($0.20 vs $1 per 1M), so it pulls ahead when your prompts share a long fixed prefix.
- Both offer 50% off for batch processing.
- GPT-6 Astra has the larger context window (1.05M tokens vs 1M tokens).
- GPT-6 Astra bills the whole request at a higher rate once input passes 272,000 tokens.
Claude Opus 5.5: Complex coding, multi-step agents and analysis where you need frontier quality at well under top-tier prices.
GPT-6 Astra: OpenAI's flagship for complex reasoning and coding, when quality matters more than cost.
Verdict
Claude Opus 5.5 wins on price
2.5× cheaperOn price alone, Claude Opus 5.5 wins: about 2.5× cheaper than GPT-6 Astra for a typical request. Price is one input. Run both on 50 of your real prompts, compare the answers and the billed tokens, and route by difficulty if the quality gap only shows up on hard requests.
How the math works
Every provider bills input tokens (your prompt, system prompt and retrieved documents) and output tokens (the reply) separately, per million. Output is usually 4–5× the input price, so chatty apps are output-heavy and RAG apps are input-heavy.
Two adjustments are applied automatically. Introductory prices (currently on some Gemini models) are used until their end date. Long-prompt surcharges kick in when your average input crosses the provider's threshold: 272K tokens on current OpenAI models, 100K on Claude Haiku 5.5.
Not modelled: cache-write premiums, priority or fast tiers, regional surcharges, image and audio tokens, and reasoning tokens a model spends before answering (they bill as output, so add them to your output estimate if you use extended thinking).
Questions
Which is cheaper, Claude Opus 5.5 or GPT-6 Astra?
Can I use both Claude Opus 5.5 and GPT-6 Astra?
How often do Anthropic and OpenAI change prices?
Sources
All prices are list prices from each provider's own documentation, standard tier, in USD, last verified on 7 Nov 2026. Providers change prices often; if a number here disagrees with the source, the source wins.
- Claude Opus 5.5platform.claude.com
- GPT-6 Astradevelopers.openai.com
More from the workbench
Fine print
Tools: on the house.
Engineer: by the hour.
Knowing your AI bill was free. Cutting it in half isn't, but I'm cheaper than the overspend.
I'm Himanshu, an AI and full-stack engineer. I build MVPs, AI agents and the growth plumbing around them for early-stage startups.
