<p>Some releases you plan for weeks. This one happened in an afternoon. NVIDIA's neighbors over at Anthropic shipped a brand-new model generation, and a few hours later Elyra could already drive it. That's the whole story of 0.9.6 — small, fast, and right on time.</p><h2>The headline: Claude Fable 5</h2><p>Anthropic introduced <strong>Claude Fable 5</strong>, the first of their new "Mythos-class" models, calling it the most capable model they've ever made generally available. It's a genuine generational step, and 0.9.6 wires it straight into Elyra on the direct <code>anthropic</code> provider.</p><p>What you're getting:</p><ul><li><p><strong>A one-million-token context window.</strong> New territory for Claude — you can hand it an enormous amount of code or documents in a single pass.</p></li><li><p><strong>128k max output.</strong> Long refactors and big files don't get cut short.</p></li><li><p><strong>Adaptive thinking, all five gears.</strong> Fable 5 decides how hard to think, and Elyra's thinking levels map cleanly across its full effort range — <code>minimal → low</code>, <code>low → medium</code>, <code>medium → high</code>, <code>high → xhigh</code>, <code>xhigh → max</code>.</p></li><li><p><strong>Vision built in.</strong> Text and images, so screenshots and diagrams are fair game.</p></li></ul><p>Using it is the usual one step. Inside a session:</p><pre><code class="language-text">/model
</code></pre><p>Search for <code>Claude Fable 5</code>, select it, keep going. Same conversation, new generation of brain.</p><h2>The fix that made it actually work</h2><p>Here's the unglamorous engineering bit worth a sentence, because it's the difference between "listed" and "works." Fable 5 is <strong>adaptive-only</strong> — it doesn't accept the older budget-based thinking that earlier Claude models used. Elyra's logic for "does this model use adaptive thinking?" only recognized the Opus and Sonnet families, so Fable 5 would have tried the wrong path and failed the moment you turned thinking on.</p><p>0.9.6 teaches that check about the Mythos class. We verified it end to end: a real reasoning request through Elyra's provider, thinking active, correct answer, no errors. Invisible to you — which is exactly how a fix should feel.</p><h2>The cost picture (read this part)</h2><p>Now the honest conversation, because Fable 5 is powerful <em>and</em> premium, and you should know that going in.</p><p>Model Input / 1M Output / 1M Claude Opus 4.8 $5 $25 <strong>Claude Fable 5</strong> <strong>$10</strong> <strong>$50</strong></p><p>Fable 5 costs roughly <strong>twice</strong> as much as Opus 4.8 on both ends. Paired with a 1M-token context, the bill can climb fast if you're careless — fill that window and a single turn is a lot of input tokens at $10 per million.</p><p>The good news is that Elyra is built to keep this in check, and there are three habits that make Fable 5 affordable:</p><p><strong>1. Reserve it for the hard part.</strong> You don't have to run the whole session on it. Use <code>/model</code> to bring Fable 5 in for the genuinely difficult reasoning, then switch back to something cheap — Haiku, MiniMax M3, Nemotron — for the mechanical edits and file reads. The expensive brain for the expensive decisions; nothing more.</p><p><strong>2. Lean on caching.</strong> Fable 5's cached input reads are <strong>$1 per million</strong> — a tenth of fresh input. When you keep working over the same large context, those reads are cheap. Pin the files that matter with <code>/pin</code> so the stable context stays put and gets reused instead of re-sent.</p><p><strong>3. Watch the meter.</strong> <code>/cost</code> shows your token usage and an estimated spend at any time. With a model in this price class, glancing at it now and then turns "surprise" into "decision."</p><p>The short version: Fable 5 is a scalpel, not a default. When the task is big and hard and needs a million tokens of context held in one mind, it earns its price. For everything else, Elyra makes it trivial to reach for something lighter.</p><h2>How to upgrade</h2><pre><code class="language-bash">npm install -g @elyracode/coding-agent
</code></pre><p>Or, from inside a running session:</p><pre><code class="language-text">/update
</code></pre><p>Then <code>/model</code>, pick Claude Fable 5, and point it at something worthy of it.</p><h2>The short version</h2><ul><li><p><strong>Added:</strong> Claude Fable 5 on the direct <code>anthropic</code> provider — Mythos-class, 1M context, 128k output, adaptive thinking, vision.</p></li><li><p><strong>Fixed:</strong> adaptive-thinking detection now covers Mythos-class models, so Fable 5 works correctly the moment thinking is on.</p></li><li><p><strong>Cost note:</strong> it's premium ($10 / $50 per 1M, cached reads $1). Use <code>/model</code>, <code>/pin</code>, and <code>/cost</code> to wield it deliberately.</p></li></ul><p>The flagship gets the headlines. Knowing when <em>not</em> to use it is what keeps the bill sane. Elyra gives you both — the new generation, and the dial to spend it wisely.</p><p>Happy building.</p>