Roboflow

Claude Fable 5.2 vs Gemini 2.5 Flash

Claude Fable 5.2: 86.5% average across five Vision Evals tasks (#2 of 67 models). We have not run Gemini 2.5 Flash through Roboflow's Vision Evals, so there is no head-to-head score.

Compare Claude Fable 5.2 vs Gemini 2.5 Flash 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 5.2 vs Gemini 2.5 Flash Comparison Table

Evals updated November 10, 2026Pricing updated November 10, 2026

PropertyClaude Fable 5.2Gemini 2.5 Flash
OrganizationAnthropicGoogle
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateNov 2026Jul 2025
Context Window1.0M1.0M
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$8.00$0.300
Output $/1M$40.00$2.50
Vision Tasks
CaptioningSupportedDemo
ClassificationSupportedDemo
Object DetectionSupportedDemo
OCRSupportedDemo
Visual Question AnsweringSupportedDemo
Both support 5 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
86.5%
Not evaluated
Avg cost / sample$0.031–
Avg speed / sample9.33s–
By task
Object Detection (low)
81.6%
±0.3, Mean of 3 runs, range 81.2 to 81.9
$0.048
–
Object Detection (high)
83.3%
±0.5, Mean of 3 runs, range 82.8 to 83.7
$0.055
–
Counting (low)
86.5%
±0.0, Mean of 3 runs, range 86.5 to 86.5
$0.015
–
Counting (high)
92.8%
±1.4, Mean of 3 runs, range 91.9 to 94.6
$0.021
–
Identification (low)
96.9%
±0.0, Mean of 3 runs, range 96.9 to 96.9
$0.011
–
Identification (high)
94.8%
±1.6, Mean of 3 runs, range 93.8 to 96.9
$0.012
–
OCR (low)
79.5%
$0.030
–
by category
Single value
64.8%
Transcription
94.7%
Structured JSON
92.8%
Text localization
74.5%
OCR (high)
84.8%
$0.043
–
by category
Single value
77.4%
Transcription
97.9%
Structured JSON
94.1%
Text localization
72.9%
Reasoning (low)
88.1%
±1.3, Mean of 3 runs, range 86.8 to 89.4
$0.016
–
Reasoning (high)
92.0%
±1.0, Mean of 3 runs, range 91.4 to 93.4
$0.024
–

Claude Fable 5.2 vs Gemini 2.5 Flash: Overview

Claude Fable 5.2

Claude Fable 5.2 is a proprietary multimodal model from Anthropic, released on November 9, 2026. It accepts text and images and produces text, with a one million token context window and up to 128,000 output tokens. Adaptive thinking is always enabled, with an effort setting that controls reasoning. Anthropic positions Fable for demanding reasoning and long-running technical work, including coding and analysis of visual inputs.

Fable 5.2 succeeds Fable 5.1. Anthropic reports improvements in coding, reasoning, and vision, with output generation up to 30% faster than its predecessor. Fable and Mythos 5.2 share an underlying model, with additional cybersecurity and biology safeguards applied to Fable. Model weights are not publicly released.

Gemini 2.5 Flash

Gemini 2.5 Flash, released on June 17, 2025, is Google DeepMind’s production-ready, efficiency-focused model in the Gemini 2.5 family. It is multimodal, accepting text, images, video, and audio as inputs, with text as the primary output format. The model supports 1 million input tokens and up to 65K output tokens, enabling it to process very large contexts such as books, long video transcripts, or extensive datasets. Its training knowledge extends to January 2025.

Designed as a price-performance leader, Gemini 2.5 Flash balances speed and reasoning power, making it suitable for everyday enterprise and developer use cases without the higher latency and cost of Pro models. It supports advanced workflows like function calling, code execution, search grounding, URL context ingestion, and structured outputs. While efficient and scalable, output length is still limited compared to its input capacity, and multimodal outputs (e.g. image or audio generation) remain restricted to specialized or preview variants.