Claude Opus 4.8
State-of-the-art autonomous coding reliability at half the price of Fable 5.
- Context window
- 1Mtokens
- Max output
- 128Ktokens
- Input price
- $5/ 1M tokens
- Output price
- $25/ 1M tokens
- Cached input
- $0.50/ 1M tokens
- Modalities
- Text, Image, Pdf
- Knowledge cutoff
- Jan 2026
- Released
- May 2026
- Approx. speed
- —
What this model is
Claude Opus 4.8 is Anthropic's most capable Opus release and a state-of-the-art model for autonomous long-horizon agentic execution and coding reliability. It pairs frontier-grade planning and tool use with the durability to run extended agent loops without corrupting state, and adds parallel-subagent workflows and long-horizon memory. At half the price of Fable 5 it is the default frontier choice for demanding production coding agents.
Strengths
- State-of-the-art autonomous coding reliability
- Frontier long-horizon agentic execution
- Strong price-to-capability at the frontier
- Robust tool use and self-correction
- Parallel subagent workflows and 1M context
Trade-offs
- Pricier than balanced-tier models for everyday tasks
- Not the fastest option on simple jobs
- No audio/video input
- Fable 5 edges it out on the very hardest tasks
Best for
- Production coding agents and Claude Code workflows
- Long-horizon autonomous workflows
- Complex debugging and refactoring
- Computer-use and browser automation
- Agentic pipelines needing reliability
Not ideal for
- Ultra-low-cost bulk workloads
- Realtime low-latency chat
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 96
- Coding
- 96
- Math
- 92
- Writing
- 93
- Knowledge
- 92
- Speed
- 55
- Agentic
- 96
- Vision
- 88
- Multilingual
- 90
- Long Context
- 95
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
Anthropic's most capable model — the reliability frontier for the hardest agentic work.
OpenAI's flagship: frontier reliability for hard coding and agents at million-token scale.
Previous-generation frontier Opus, still highly reliable for agentic coding.