Claude Fable 5 vs Claude Opus 5.5
Compare Claude Fable 5 and Claude Opus 5.5 side-by-side. See how these vision models stack up in Image Captioning, Classification, OCR, Open Prompt, and Object Detection.
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Models in this comparison
Claude Fable 5 vs Claude Opus 5.5 on Vision Evals
Claude Opus 5.5 scores higher on 4 of the five Vision Evals tasks.
The widest gap is Object Detection, where Claude Opus 5.5 leads 74.5% to 56.4%.
Overall, Claude Fable 5 averages 71.7% (#17 of 61) against 82.0% (#2 of 61) for Claude Opus 5.5.
Claude Opus 5.5 is both cheaper ($0.015 vs $0.039 per sample) and faster (7.6s vs 9.5s per sample).
Claude Fable 5 vs Claude Opus 5.5 Comparison Table
Evals updated October 8, 2026Pricing updated October 12, 2026
| Property | Claude Fable 5 | Claude Opus 5.5 |
|---|---|---|
| Organization | Anthropic | Anthropic |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Jun 2026 | Sep 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | Unknown | Unknown |
| License | Proprietary | Proprietary |
| Pricing per 1M tokens | ||
| Input $/1M | $10.00 | $4.00 |
| Output $/1M | $50.00 | $20.00 |
| Vision Tasks | ||
| Captioning | Demo | Demo |
| Chart Question Answering | Supported | Supported |
| Classification | Demo | Demo |
| Document Question Answering | Supported | Supported |
| Image Tagging | Supported | Supported |
| Multi-Label Classification | Supported | Supported |
| Object Detection | Demo | Demo |
| OCR | Demo | Demo |
| Vision Language | Supported | Supported |
| Visual Question Answering | Demo | Demo |
| Model Features | ||
| Foundation Vision | Supported | Supported |
| LLMs with Vision Capabilities | Supported | Supported |
| Multimodal Vision | Supported | Supported |
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | 71.7% | 82.0% |
| Avg cost / sample | $0.039 | $0.015 |
| Avg speed / sample | 9.54s | 7.63s |
| By task | ||
| Object Detection (low) | 56.4% | 74.5% ±0.5, Mean of 3 runs, range 74.0 to 75.0 |
| Object Detection (high) | – | 76.0% ±1.1, Mean of 3 runs, range 74.7 to 77.0 |
| Counting (low) | 63.5% | 80.6% ±2.0, Mean of 3 runs, range 78.4 to 82.4 |
| Counting (high) | – | 82.0% ±2.0, Mean of 3 runs, range 79.7 to 83.8 |
| Identification (low) | 100.0% | 93.8% ±0.0, Mean of 3 runs, range 93.8 to 93.8 |
| Identification (high) | – | 95.8% ±1.6, Mean of 3 runs, range 93.8 to 96.9 |
| OCR (low) | 72.3% | 78.3% |
| by category |
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| OCR (high) | 74.2% | 79.9% |
| by category |
|
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| Reasoning (low) | 66.2% | 83.0% ±1.0, Mean of 3 runs, range 82.1 to 84.1 |
| Reasoning (high) | 66.2% | 85.9% ±2.6, Mean of 3 runs, range 82.8 to 88.1 |
Claude Fable 5 vs Claude Opus 5.5: Overview
Claude Fable 5 is Anthropic's first generally available Mythos-class large language model, released on June 9, 2026. It is built for long-horizon, asynchronous, and agentic tasks that prior Claude generations could not sustain, including multi-day autonomous coding sessions, complex knowledge work, and document-heavy analysis. The model supports a 1 million token context window with up to 128,000 output tokens per request and uses adaptive thinking as its sole reasoning mode, where the effort level is adjustable but raw chain-of-thought is never returned. Vision capabilities allow the model to parse diagrams, charts, and tables embedded in files and PDFs, and to use visual feedback to evaluate its own coding outputs against design goals. On benchmarks such as SWE-Bench Pro, the model scores 80.3% compared to 69.2% for Claude Opus 4.8, and it leads on CursorBench 3.1 for autonomous coding workflows.
Claude Fable 5 shares the same underlying model weights as Claude Mythos 5, but is deployed with safety classifiers that automatically reroute queries in high-risk domains — including cybersecurity, biology, and chemistry — to Claude Opus 4.8. These classifiers trigger in fewer than 5% of sessions on average. As a designated Covered Model, all traffic is subject to mandatory 30-day data retention to support safety monitoring. The model is available via the Claude API, Amazon Bedrock, Vertex AI, and Microsoft Foundry. Anthropic has not publicly disclosed parameter count, architecture details, or training data composition for this model.
Claude Opus 5.5 is a proprietary multimodal reasoning model from Anthropic and the first entry in the Claude 5.5 family. It accepts interleaved text and image input and returns text, with a one million token context window and up to 128,000 output tokens per response. Adaptive thinking is always enabled on this model and cannot be disabled; thinking depth is instead governed by an effort parameter with five levels, where medium is the default, a change from the high default used by Claude Opus 5 and earlier Opus models. Anthropic reports a knowledge cutoff of June 2026.
On the visual side, Anthropic characterizes Opus 5.5 as its strongest Opus release for vision and computer use, describing improved reading of dense documents, charts, screenshots, and diagrams for document extraction and visual analysis tasks. Published results include 89.0% on Chartography with tools and 81.8% on OSWorld 2.0 under partial credit scoring, alongside 48.7% under strict scoring reported in the system card. The accompanying system card states that Opus 5.5 scored higher than Opus 5 on every evaluation in its capability summary, with the largest gains concentrated in agentic coding, visual reasoning, computer use, and long-horizon knowledge work. The model ships with safety classifiers covering biology and cybersecurity that can route blocked requests to earlier Claude models.