Claude Opus 4.5
AnthropicLarge Language ModelProprietaryAnthropic model that handles ambiguity and complex multi-system bugs without hand-holding. Excels at long-horizon autonomous tasks with sustained reasoning and fewer dead-ends.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- 67% price reduction from Opus 4 era — Opus-level quality at $5/$25 per 1M tokens
- Handles ambiguity and reasons about tradeoffs without hand-holding
- Surpasses internal coding benchmarks while cutting token usage in half
- Excels at long-horizon autonomous tasks with fewer dead-ends
- Strong extended thinking for complex multi-step reasoning
Cons
- Closed source — no model weights available for self-hosting
- Slower than Sonnet/Haiku variants for latency-sensitive applications
- Superseded by Opus 4.6 — newer version available
- Output cost at $25/1M tokens is high for bulk generation tasks
What to Use It For
Perfect For
Handles ambiguity natively — figures out fixes across system boundaries without detailed guidance
Sustained reasoning with fewer dead-ends — handles complex workflows that require multi-step execution
Good For
Available on Bedrock and Vertex AI with enterprise compliance
Strong reasoning about tradeoffs and nuanced decisions
Not Recommended
Opus models are slower and more expensive — use Sonnet or Haiku for speed-critical applications
Try instead: Claude Sonnet 4, Claude Haiku 4
Closed source — fully API-dependent
Try instead: Llama 4 Maverick, Qwen 3
Do Not Use For
Text-only model — cannot generate images
Try instead: FLUX.2 Pro, Midjourney
LLM without audio/video generation capabilities
Try instead: ElevenLabs, Sora