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The Claude Model Lineup (June 2026)

🏛️ Models & Architecture15 min100 BASE XP

Choosing the Right Model

As of April 2026, Anthropic offers three model tiers designed for different workloads. Understanding their capabilities and trade-offs is essential for cost-effective production systems.

ModelBest ForContextSpeedCost
Claude Fable 5Complex reasoning, frontier agentic tasks1M (native)MeasuredHighest
Claude Opus 4.8Complex reasoning, coding, analysis200K (1M beta)SlowestHigh
Claude Sonnet 4.6Balanced agentic tasks, production200K (1M beta)MediumMid-tier
Claude Haiku 4.5High volume, low latency, classification200KFastestLowest

Opus 4.8 — The Flagship

Released May 28, 2026, Opus 4.8 introduces Adaptive Thinking — the model dynamically decides when deeper reasoning is required based on task complexity. It achieves 70% on CursorBench and 98.5% visual acuity. Substantially improved vision capabilities support higher image resolution for more accurate analysis of charts, dense documents, and complex UI screens. Note: Opus 4.8 uses an updated tokenizer that may produce 1.0–1.35x more tokens depending on content type; re-benchmark your cost estimates when migrating.

Fable 5 — The Mythos-Class Flagship

Released June 9, 2026, Claude Fable 5 is Anthropic's most capable generally available model. It represents the first "Mythos-class" model — a new tier above Opus designed for the most demanding autonomous tasks. Fable 5 features always-on adaptive thinking, a native 1M token context window, and 128K max output tokens. It is priced at $10/$50 per MTok. Fable 5 includes strict safety classifiers; queries that trigger guardrails are automatically routed to Opus 4.8 as a fallback.

⚠️ Deprecation Notice: Claude Sonnet 4 and Opus 4 (original versions) were retired on June 15, 2026. Migrate to Sonnet 4.6 or Opus 4.8 immediately if you have not already done so.

The 1 Million Token Context Window

Both Opus and Sonnet now support a 1 million token context window in beta. This allows analysis of entire codebases, multi-hundred-page legal documents, or massive datasets in a single request — without chunking or retrieval strategies.

SYNAPSE VERIFICATION
QUERY 1 // 4
Which model is best for high-volume, latency-sensitive tasks?
Opus 4.8
Sonnet 4.6
Haiku 4.5
All are equal
Watch: 139x Rust Speedup
The Claude Model Lineup (June 2026) | Models & Architecture — Claude Academy