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LLMS • CURATED • UPDATED AUG 4, 2026

Claude Opus 5

Anthropic's frontier model, currently first on the Artificial Analysis Intelligence Index

Claude Opus 5 is Anthropic's flagship model, released 24 July 2026 with a 1M-token context window and five selectable effort levels (low, medium, high, xhigh, max). Effort is the main control: output token spend runs roughly 8x from low to max, and Artificial Analysis measures a 407-Elo spread in task quality across that range, so the same model behaves like several different price and capability tiers. API pricing is $5 per million input tokens and $25 per million output, with cache writes at $6.25 and cache hits at $0.50. It leads the Intelligence Index at 60.7 and tops the Coding Agent Index, scoring 89 percent on Terminal-Bench v2.1 at max effort and 53 percent on Humanity's Last Exam.

Pricing Freemium
Platforms web, api, desktop
API Yes
Open Source No
Modalities LLMs, IDEs & Coding Tools, Multimodal Reasoning
Best For Best Frontier Model Overall
Date Added 2026-08-04
1 Set effort per call rather than globally, cheap calls do not need max
2 Cache long system prompts and repeated context before optimising anything else
3 Benchmark cost per completed task, not cost per token, when comparing to Fable 5
4 Reach for max effort on terminal and multi-file refactor work, where the gap is largest
5 Measure on your own tasks, index rankings move within a few points
Claude Opus 4.6 Google Antigravity 2.0 NotebookLM Cursor 2.0 OpenAI Codex

Cost-Tiered Agent Pipeline

Run one model across a pipeline where steps differ wildly in difficulty.

STEPS:
  1. Classify each step as routine or hard
  2. Send routine steps at low or medium effort
  3. Send planning and debugging steps at xhigh or max
  4. Cache the shared system prompt across every step
  5. Log tokens and cost per step
  6. Move steps down a tier until quality drops, then stop

Whole-Repository Review

Load a large codebase into the 1M-token window and review it in one pass.

STEPS:
  1. Concatenate the repository with file path headers
  2. Cache that context so follow-up questions are cheap
  3. Ask for an architecture summary first
  4. Follow with targeted questions on specific modules
  5. Request a prioritised defect list with file and line references
  6. Verify each finding against the actual file before acting
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Compare Claude Opus 5 with 5+ similar llms AI tools.

Q

Is Claude Opus 5 free?

A

Claude Opus 5 offers a free tier with optional paid upgrades.

Q

Does Claude Opus 5 have an API?

A

Yes, Claude Opus 5 offers an API for programmatic integration.

Q

What is Claude Opus 5 best for?

A

Claude Opus 5 is best for Best Frontier Model Overall.

Q

What platforms does Claude Opus 5 support?

A

Claude Opus 5 supports web, api, desktop.

Q

Is Claude Opus 5 open source?

A

No, Claude Opus 5 is not open source.

Q

What can I do with Claude Opus 5?

A

Claude Opus 5 is designed for Long-horizon agentic coding, Terminal and multi-file engineering work, Cost-controlled frontier reasoning. Claude Opus 5 is Anthropic's flagship model, released 24 July 2026 with a 1M-token context window and five selectable effort levels (low, medium, high, xhigh, max). Key strengths include First on the Artificial Analysis Intelligence Index at 60.7 and Five effort levels, so one model covers several cost tiers.

Q

How do I use Claude Opus 5?

A

Claude Opus 5 is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at first on the artificial analysis intelligence index at 60.7.

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