Roboflow

Claude Fable 5 vs Gemma 4 12B

Claude Fable 5: 71.7% average across five Vision Evals tasks (#20 of 65 models). We have not run Gemma 4 12B through Roboflow's Vision Evals, so there is no head-to-head score.

Compare Claude Fable 5 vs Gemma 4 12B live

Run the same image across every model that supports a task and compare their outputs side-by-side.

These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.

Claude Fable 5 vs Gemma 4 12B Comparison Table

Evals updated October 26, 2026Pricing updated November 4, 2026

PropertyClaude Fable 5Gemma 4 12B
OrganizationAnthropicGoogle
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateJun 2026Jun 2026
Context Window1.0M—
ParametersUnknown12B
LicenseProprietaryApache 2.0
Commercial usecommercial use per vendor termsfree for commercial use
Pricing per 1M tokens
Input $/1M$10.00No published price
Output $/1M$50.00No published price
Vision Tasks
CaptioningDemoSupported
OCRDemoSupported
Visual Question AnsweringDemoSupported
Chart Question AnsweringSupportedNot listed
ClassificationDemoNot listed
Document Question AnsweringSupportedNot listed
Image TaggingSupportedNot listed
Multi-Label ClassificationSupportedNot listed
Object DetectionDemoNot listed
Both support 1 more task
Model Features
Foundation VisionSupportedNot listed
LLMs with Vision CapabilitiesSupportedNot listed
Both support 1 more feature
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
71.7%
Not evaluated
Avg cost / sample$0.039–
Avg speed / sample9.54s–
By task
Object Detection
56.4%
$0.059
–
Counting
63.5%
$0.017
–
Identification
100.0%
$0.014
–
OCR (low)
72.3%
$0.041
–
by category
Single value
70.9%
Transcription
90.2%
Structured JSON
85.7%
Text localization
31.6%
OCR (high)
74.2%
$0.075
–
by category
Single value
72.2%
Transcription
87.7%
Structured JSON
89.2%
Text localization
33.3%
Reasoning (low)
66.2%
$0.018
–
Reasoning (high)
66.2%
$0.024
–

Claude Fable 5 vs Gemma 4 12B: Overview

Claude Fable 5

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.

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.

Gemma 4 12B

Gemma 4 12B is an open-weight multimodal model from Google in the Gemma 4 family. It is intended for text and image understanding tasks such as visual question answering, OCR, captioning, and document understanding, with a smaller parameter footprint than the larger Gemma 4 variants.

This entry is connected to Roboflow Playground vision evals for comparison. No runnable Playground workflow is configured yet, so the model page is used for discovery and benchmark context rather than direct hosted inference.