Although Claude Opus 5 is still available, you should consider migrating to Claude Opus 5.5.
See Claude Opus 5.5Models & pricingLegacy models
Claude Opus 5Legacy
- Context window
- 1Mtokens
- Max output
- 128Ktokens
- Input pricing
- $5/ MTok
- Output pricing
- $25/ MTok
How it compares to the current lineup
| Model | Context | Max output | Price / MTok | Thinking | Default effort | Knowledge cutoff |
|---|---|---|---|---|---|---|
| Claude Fable 5.1 | 1M | 128K | $10 / $50 | Adaptive (always on) | high | Jun 2026 |
| Claude Opus 5.5 | 1M | 128K | $4 / $20 | Adaptive (always on) | medium | Jun 2026 |
| Claude Opus 5This modelLegacy | 1M | 128K | $5 / $25 | Adaptive | high | May 2026 |
| Claude Sonnet 5.5 | 1M | 128K | $2 / $10 | Adaptive | high | Jun 2026 |
| Claude Haiku 5.5 | 1M | 128K | From $0.10 / $0.50 | Adaptive | medium | Jun 2026 |
Specifications
Model IDs
Pricing
- Input
- $5 / MTok
- Output
- $25 / MTok
- 5m cache write
- $6.25 / MTok
- 1h cache write
- $10 / MTok
- Cache read
- $0.50 / MTok
- Batch API
- 50% discount on input and output
Capabilities
- Context window
- 1M tokens
- Max output
- 128K tokens
- Max output (Batch API, beta)
- 300K tokens
- Thinking
- Adaptive
- Default effort
high- Input → output
- Text and images → text
- Reliable knowledge cutoff
- May 2026
- Training data cutoff
- May 2026
Availability
- Status
- Active (legacy)
- Released
- July 24, 2026
- Retirement
- Not sooner than July 24, 2027
Good to know
- On the Message Batches API, Claude Opus 5 supports up to 300k output tokens with the
output-300k-2026-03-24beta header. - The minimum cacheable prompt length is 512 tokens. See Prompt caching.
- Query limits and capabilities programmatically with the Models API.
Resources
What changes when moving from Claude Opus 5 to Claude Opus 5.5.
The current Opus model: overview, specs, and resources.
Model-specific prompting guidance.
Reference
The system prompt Claude Opus 5 uses on claude.ai and the Claude apps.
Safety evaluations and deployment decisions for Claude Opus 5.
Full price list, including batch discounts and prompt caching rates.
How model IDs, aliases, and pinned snapshots work.
Lifecycle status and retirement commitments for every Claude model.
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