Claude Opus 4.7 pricing & specs
Anthropic · released 2026-04-14 · ● verified 2026-10-11
input / 1M$5.00
output / 1M$25.00
context1M
max output128K
// price history ($/1M tokens)
// cheaper or similar alternatives
| model | in | out | ctx | vs Claude Opus 4.7 |
|---|---|---|---|---|
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | 1.05M | −98.2% |
| Claude Haiku 5.5 | $0.10 | $0.50 | 1M | −98% |
| GPT-6 Luna | $0.10 | $0.50 | 1.05M | −98% |
| GLM-5.3-Flash | $0.15 | $0.50 | 1M | −97.6% |
| GPT-5.6 Luna | $0.20 | $1.20 | 1.05M | −95.5% |
// price by host
| host | in $/1M | out $/1M |
|---|---|---|
| Amazon Bedrock | $5.00 | $25.00 |
| Azure | $5.00 | $25.00 |
| Google Vertex AI | $5.00 | $25.00 |
// faq
How much does Claude Opus 4.7 cost?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens. At 50M input and 10M output tokens per month that is about $500.
What is the context window of Claude Opus 4.7?
1M tokens, with up to 128K output tokens per request.
Does Claude Opus 4.7 support prompt caching?
Yes. Cached input tokens cost $0.50 per million and cache writes cost $6.25 per million.
What are cheaper alternatives to Claude Opus 4.7?
Gemini 2.5 Flash-Lite ($0.10 in / $0.40 out), Claude Haiku 5.5 ($0.10 in / $0.50 out), GPT-6 Luna ($0.10 in / $0.50 out) offer the same input types and capabilities for less.
// spec sheet
- input / 1M
- $5.00
- output / 1M
- $25.00
- cache read / 1M
- $0.50
- cache write / 1M
- $6.25
- blended (3:1)
- $10.00
- context
- 1M
- max output
- 128K
- input types
- text · image · pdf
- reasoning
- yes
- tool calling
- yes
- structured output
- yes
- open weights
- no
- knowledge cutoff
- 2026-01-31
- price source
- Anthropic
// cost calculator
| model | in $/1M | out $/1M | = monthly |
|---|---|---|---|
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | $9.00 |
| Claude Haiku 5.5 | $0.10 | $0.50 | $10.00 |
| GPT-6 Luna | $0.10 | $0.50 | $10.00 |
| Claude Opus 4.7 | $5.00 | $25.00 | $500 |
Base-tier list prices. Long-context tiers, caching and batch discounts are not included.